[{"issue":"2","publication_status":"published","publication_identifier":{"issn":["2296-9020","2296-9039"]},"citation":{"mla":"Winkler, Michael. “Solutions to the Keller–Segel System with Non-Integrable Behavior at Spatial Infinity.” <i>Journal of Elliptic and Parabolic Equations</i>, vol. 9, no. 2, Springer Science and Business Media LLC, 2023, pp. 919–59, doi:<a href=\"https://doi.org/10.1007/s41808-023-00230-y\">10.1007/s41808-023-00230-y</a>.","short":"M. Winkler, Journal of Elliptic and Parabolic Equations 9 (2023) 919–959.","bibtex":"@article{Winkler_2023, title={Solutions to the Keller–Segel system with non-integrable behavior at spatial infinity}, volume={9}, DOI={<a href=\"https://doi.org/10.1007/s41808-023-00230-y\">10.1007/s41808-023-00230-y</a>}, number={2}, journal={Journal of Elliptic and Parabolic Equations}, publisher={Springer Science and Business Media LLC}, author={Winkler, Michael}, year={2023}, pages={919–959} }","apa":"Winkler, M. (2023). Solutions to the Keller–Segel system with non-integrable behavior at spatial infinity. <i>Journal of Elliptic and Parabolic Equations</i>, <i>9</i>(2), 919–959. <a href=\"https://doi.org/10.1007/s41808-023-00230-y\">https://doi.org/10.1007/s41808-023-00230-y</a>","ama":"Winkler M. Solutions to the Keller–Segel system with non-integrable behavior at spatial infinity. <i>Journal of Elliptic and Parabolic Equations</i>. 2023;9(2):919-959. doi:<a href=\"https://doi.org/10.1007/s41808-023-00230-y\">10.1007/s41808-023-00230-y</a>","chicago":"Winkler, Michael. “Solutions to the Keller–Segel System with Non-Integrable Behavior at Spatial Infinity.” <i>Journal of Elliptic and Parabolic Equations</i> 9, no. 2 (2023): 919–59. <a href=\"https://doi.org/10.1007/s41808-023-00230-y\">https://doi.org/10.1007/s41808-023-00230-y</a>.","ieee":"M. Winkler, “Solutions to the Keller–Segel system with non-integrable behavior at spatial infinity,” <i>Journal of Elliptic and Parabolic Equations</i>, vol. 9, no. 2, pp. 919–959, 2023, doi: <a href=\"https://doi.org/10.1007/s41808-023-00230-y\">10.1007/s41808-023-00230-y</a>."},"page":"919-959","intvolume":"         9","year":"2023","author":[{"last_name":"Winkler","full_name":"Winkler, Michael","first_name":"Michael"}],"date_created":"2024-04-07T12:52:52Z","volume":9,"date_updated":"2024-04-07T12:52:55Z","publisher":"Springer Science and Business Media LLC","doi":"10.1007/s41808-023-00230-y","title":"Solutions to the Keller–Segel system with non-integrable behavior at spatial infinity","type":"journal_article","publication":"Journal of Elliptic and Parabolic Equations","status":"public","abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title><jats:p>The Cauchy problem in <jats:inline-formula><jats:alternatives><jats:tex-math>$$\\mathbb {R}^n$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:msup>\r\n                    <mml:mrow>\r\n                      <mml:mi>R</mml:mi>\r\n                    </mml:mrow>\r\n                    <mml:mi>n</mml:mi>\r\n                  </mml:msup>\r\n                </mml:math></jats:alternatives></jats:inline-formula> is considered for the Keller–Segel system <jats:disp-formula><jats:alternatives><jats:tex-math>$$\\begin{aligned} \\left\\{ \\begin{array}{l}u_t = \\Delta u - \\nabla \\cdot (u\\nabla v), \\\\ 0 = \\Delta v + u, \\end{array} \\right. \\qquad \\qquad (\\star ) \\end{aligned}$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mrow>\r\n                    <mml:mtable>\r\n                      <mml:mtr>\r\n                        <mml:mtd>\r\n                          <mml:mrow>\r\n                            <mml:mfenced>\r\n                              <mml:mrow>\r\n                                <mml:mtable>\r\n                                  <mml:mtr>\r\n                                    <mml:mtd>\r\n                                      <mml:mrow>\r\n                                        <mml:msub>\r\n                                          <mml:mi>u</mml:mi>\r\n                                          <mml:mi>t</mml:mi>\r\n                                        </mml:msub>\r\n                                        <mml:mo>=</mml:mo>\r\n                                        <mml:mi>Δ</mml:mi>\r\n                                        <mml:mi>u</mml:mi>\r\n                                        <mml:mo>-</mml:mo>\r\n                                        <mml:mi>∇</mml:mi>\r\n                                        <mml:mo>·</mml:mo>\r\n                                        <mml:mrow>\r\n                                          <mml:mo>(</mml:mo>\r\n                                          <mml:mi>u</mml:mi>\r\n                                          <mml:mi>∇</mml:mi>\r\n                                          <mml:mi>v</mml:mi>\r\n                                          <mml:mo>)</mml:mo>\r\n                                        </mml:mrow>\r\n                                        <mml:mo>,</mml:mo>\r\n                                      </mml:mrow>\r\n                                    </mml:mtd>\r\n                                  </mml:mtr>\r\n                                  <mml:mtr>\r\n                                    <mml:mtd>\r\n                                      <mml:mrow>\r\n                                        <mml:mrow />\r\n                                        <mml:mn>0</mml:mn>\r\n                                        <mml:mo>=</mml:mo>\r\n                                        <mml:mi>Δ</mml:mi>\r\n                                        <mml:mi>v</mml:mi>\r\n                                        <mml:mo>+</mml:mo>\r\n                                        <mml:mi>u</mml:mi>\r\n                                        <mml:mo>,</mml:mo>\r\n                                      </mml:mrow>\r\n                                    </mml:mtd>\r\n                                  </mml:mtr>\r\n                                </mml:mtable>\r\n                              </mml:mrow>\r\n                            </mml:mfenced>\r\n                            <mml:mspace />\r\n                            <mml:mspace />\r\n                            <mml:mrow>\r\n                              <mml:mo>(</mml:mo>\r\n                              <mml:mo>⋆</mml:mo>\r\n                              <mml:mo>)</mml:mo>\r\n                            </mml:mrow>\r\n                          </mml:mrow>\r\n                        </mml:mtd>\r\n                      </mml:mtr>\r\n                    </mml:mtable>\r\n                  </mml:mrow>\r\n                </mml:math></jats:alternatives></jats:disp-formula>with a focus on a detailed description of behavior in the presence of nonnegative radially symmetric initial data <jats:inline-formula><jats:alternatives><jats:tex-math>$$u_0$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:msub>\r\n                    <mml:mi>u</mml:mi>\r\n                    <mml:mn>0</mml:mn>\r\n                  </mml:msub>\r\n                </mml:math></jats:alternatives></jats:inline-formula> with non-integrable behavior at spatial infinity. It is shown that if <jats:inline-formula><jats:alternatives><jats:tex-math>$$u_0$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:msub>\r\n                    <mml:mi>u</mml:mi>\r\n                    <mml:mn>0</mml:mn>\r\n                  </mml:msub>\r\n                </mml:math></jats:alternatives></jats:inline-formula> is continuous and bounded, then (<jats:inline-formula><jats:alternatives><jats:tex-math>$$\\star $$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mo>⋆</mml:mo>\r\n                </mml:math></jats:alternatives></jats:inline-formula>) admits a local-in-time classical solution, whereas if <jats:inline-formula><jats:alternatives><jats:tex-math>$$u_0(x)\\rightarrow +\\infty $$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mrow>\r\n                    <mml:msub>\r\n                      <mml:mi>u</mml:mi>\r\n                      <mml:mn>0</mml:mn>\r\n                    </mml:msub>\r\n                    <mml:mrow>\r\n                      <mml:mo>(</mml:mo>\r\n                      <mml:mi>x</mml:mi>\r\n                      <mml:mo>)</mml:mo>\r\n                    </mml:mrow>\r\n                    <mml:mo>→</mml:mo>\r\n                    <mml:mo>+</mml:mo>\r\n                    <mml:mi>∞</mml:mi>\r\n                  </mml:mrow>\r\n                </mml:math></jats:alternatives></jats:inline-formula> as <jats:inline-formula><jats:alternatives><jats:tex-math>$$|x|\\rightarrow \\infty $$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mrow>\r\n                    <mml:mo>|</mml:mo>\r\n                    <mml:mi>x</mml:mi>\r\n                    <mml:mo>|</mml:mo>\r\n                    <mml:mo>→</mml:mo>\r\n                    <mml:mi>∞</mml:mi>\r\n                  </mml:mrow>\r\n                </mml:math></jats:alternatives></jats:inline-formula>, then no such solution can be found. Furthermore, a collection of three sufficient criteria for either global existence or global nonexistence indicates that with respect to the occurrence of finite-time blow-up, spatial decay properties of an explicit singular steady state plays a critical role. In particular, this underlines that explosions in (<jats:inline-formula><jats:alternatives><jats:tex-math>$$\\star $$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                  <mml:mo>⋆</mml:mo>\r\n                </mml:math></jats:alternatives></jats:inline-formula>) need not be enforced by initially high concentrations near finite points, but can be exclusively due to large tails.</jats:p>"}],"user_id":"31496","_id":"53341","language":[{"iso":"eng"}],"keyword":["Applied Mathematics","Numerical Analysis","Analysis"]},{"publication_identifier":{"issn":["2296-9020","2296-9039"]},"publication_status":"published","citation":{"bibtex":"@article{Papageorgiou_2023, title={Asymptotics for the infinite Brownian loop on noncompact symmetric spaces}, DOI={<a href=\"https://doi.org/10.1007/s41808-023-00250-8\">10.1007/s41808-023-00250-8</a>}, journal={Journal of Elliptic and Parabolic Equations}, publisher={Springer Science and Business Media LLC}, author={Papageorgiou, Efthymia}, year={2023} }","short":"E. Papageorgiou, Journal of Elliptic and Parabolic Equations (2023).","mla":"Papageorgiou, Efthymia. “Asymptotics for the Infinite Brownian Loop on Noncompact Symmetric Spaces.” <i>Journal of Elliptic and Parabolic Equations</i>, Springer Science and Business Media LLC, 2023, doi:<a href=\"https://doi.org/10.1007/s41808-023-00250-8\">10.1007/s41808-023-00250-8</a>.","apa":"Papageorgiou, E. (2023). Asymptotics for the infinite Brownian loop on noncompact symmetric spaces. <i>Journal of Elliptic and Parabolic Equations</i>. <a href=\"https://doi.org/10.1007/s41808-023-00250-8\">https://doi.org/10.1007/s41808-023-00250-8</a>","ama":"Papageorgiou E. Asymptotics for the infinite Brownian loop on noncompact symmetric spaces. <i>Journal of Elliptic and Parabolic Equations</i>. Published online 2023. doi:<a href=\"https://doi.org/10.1007/s41808-023-00250-8\">10.1007/s41808-023-00250-8</a>","ieee":"E. Papageorgiou, “Asymptotics for the infinite Brownian loop on noncompact symmetric spaces,” <i>Journal of Elliptic and Parabolic Equations</i>, 2023, doi: <a href=\"https://doi.org/10.1007/s41808-023-00250-8\">10.1007/s41808-023-00250-8</a>.","chicago":"Papageorgiou, Efthymia. “Asymptotics for the Infinite Brownian Loop on Noncompact Symmetric Spaces.” <i>Journal of Elliptic and Parabolic Equations</i>, 2023. <a href=\"https://doi.org/10.1007/s41808-023-00250-8\">https://doi.org/10.1007/s41808-023-00250-8</a>."},"year":"2023","author":[{"last_name":"Papageorgiou","full_name":"Papageorgiou, Efthymia","id":"100325","first_name":"Efthymia"}],"date_created":"2024-04-17T13:16:39Z","date_updated":"2024-04-17T13:17:10Z","publisher":"Springer Science and Business Media LLC","doi":"10.1007/s41808-023-00250-8","title":"Asymptotics for the infinite Brownian loop on noncompact symmetric spaces","publication":"Journal of Elliptic and Parabolic Equations","type":"journal_article","status":"public","abstract":[{"text":"<jats:title>Abstract</jats:title><jats:p>The infinite Brownian loop on a Riemannian manifold is the limit in distribution of the Brownian bridge of length <jats:italic>T</jats:italic> around a fixed origin when <jats:inline-formula><jats:alternatives><jats:tex-math>$$T \\rightarrow +\\infty $$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                <mml:mrow>\r\n                  <mml:mi>T</mml:mi>\r\n                  <mml:mo>→</mml:mo>\r\n                  <mml:mo>+</mml:mo>\r\n                  <mml:mi>∞</mml:mi>\r\n                </mml:mrow>\r\n              </mml:math></jats:alternatives></jats:inline-formula>. The aim of this note is to study its long-time asymptotics on Riemannian symmetric spaces <jats:italic>G</jats:italic>/<jats:italic>K</jats:italic> of noncompact type and of general rank. This amounts to the behavior of solutions to the heat equation subject to the Doob transform induced by the ground spherical function. Unlike the standard Brownian motion, we observe in this case phenomena which are similar to the Euclidean setting, namely <jats:inline-formula><jats:alternatives><jats:tex-math>$$L^1$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                <mml:msup>\r\n                  <mml:mi>L</mml:mi>\r\n                  <mml:mn>1</mml:mn>\r\n                </mml:msup>\r\n              </mml:math></jats:alternatives></jats:inline-formula> asymptotic convergence without requiring bi-<jats:italic>K</jats:italic>-invariance for initial data, and strong <jats:inline-formula><jats:alternatives><jats:tex-math>$$L^{\\infty }$$</jats:tex-math><mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">\r\n                <mml:msup>\r\n                  <mml:mi>L</mml:mi>\r\n                  <mml:mi>∞</mml:mi>\r\n                </mml:msup>\r\n              </mml:math></jats:alternatives></jats:inline-formula> convergence.</jats:p>","lang":"eng"}],"department":[{"_id":"555"}],"user_id":"100325","_id":"53539","language":[{"iso":"eng"}],"keyword":["Applied Mathematics","Numerical Analysis","Analysis"]},{"status":"public","type":"journal_article","_id":"45956","user_id":"100441","department":[{"_id":"841"}],"citation":{"ama":"Bohn J, Feischl M, Kovács B. FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation. <i>Computational Methods in Applied Mathematics</i>. 2022;23(1):19-48. doi:<a href=\"https://doi.org/10.1515/cmam-2022-0145\">10.1515/cmam-2022-0145</a>","chicago":"Bohn, Jan, Michael Feischl, and Balázs Kovács. “FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation.” <i>Computational Methods in Applied Mathematics</i> 23, no. 1 (2022): 19–48. <a href=\"https://doi.org/10.1515/cmam-2022-0145\">https://doi.org/10.1515/cmam-2022-0145</a>.","ieee":"J. Bohn, M. Feischl, and B. Kovács, “FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation,” <i>Computational Methods in Applied Mathematics</i>, vol. 23, no. 1, pp. 19–48, 2022, doi: <a href=\"https://doi.org/10.1515/cmam-2022-0145\">10.1515/cmam-2022-0145</a>.","mla":"Bohn, Jan, et al. “FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation.” <i>Computational Methods in Applied Mathematics</i>, vol. 23, no. 1, Walter de Gruyter GmbH, 2022, pp. 19–48, doi:<a href=\"https://doi.org/10.1515/cmam-2022-0145\">10.1515/cmam-2022-0145</a>.","bibtex":"@article{Bohn_Feischl_Kovács_2022, title={FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation}, volume={23}, DOI={<a href=\"https://doi.org/10.1515/cmam-2022-0145\">10.1515/cmam-2022-0145</a>}, number={1}, journal={Computational Methods in Applied Mathematics}, publisher={Walter de Gruyter GmbH}, author={Bohn, Jan and Feischl, Michael and Kovács, Balázs}, year={2022}, pages={19–48} }","short":"J. Bohn, M. Feischl, B. Kovács, Computational Methods in Applied Mathematics 23 (2022) 19–48.","apa":"Bohn, J., Feischl, M., &#38; Kovács, B. (2022). FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation. <i>Computational Methods in Applied Mathematics</i>, <i>23</i>(1), 19–48. <a href=\"https://doi.org/10.1515/cmam-2022-0145\">https://doi.org/10.1515/cmam-2022-0145</a>"},"intvolume":"        23","page":"19-48","publication_status":"published","publication_identifier":{"issn":["1609-4840","1609-9389"]},"doi":"10.1515/cmam-2022-0145","date_updated":"2024-04-03T09:20:30Z","author":[{"first_name":"Jan","last_name":"Bohn","full_name":"Bohn, Jan"},{"full_name":"Feischl, Michael","last_name":"Feischl","first_name":"Michael"},{"last_name":"Kovács","orcid":"0000-0001-9872-3474","id":"100441","full_name":"Kovács, Balázs","first_name":"Balázs"}],"volume":23,"abstract":[{"lang":"eng","text":"<jats:title>Abstract</jats:title>\r\n               <jats:p>The full Maxwell equations in the unbounded three-dimensional space coupled to the Landau–Lifshitz–Gilbert equation serve as a well-tested model for ferromagnetic materials.\r\nWe propose a weak formulation of the coupled system based on the boundary integral formulation of the exterior Maxwell equations.\r\nWe show existence and partial uniqueness of a weak solution and propose a new numerical algorithm based on finite elements and boundary elements as spatial discretization with backward Euler and convolution quadrature for the time domain.\r\nThis is the first numerical algorithm which is able to deal with the coupled system of Landau–Lifshitz–Gilbert equation and full Maxwell’s equations without any simplifications like quasi-static approximations (e.g. eddy current model) and without restrictions on the shape of the domain (e.g. convexity).\r\nWe show well-posedness and convergence of the numerical algorithm under minimal assumptions on the regularity of the solution.\r\nThis is particularly important as there are few regularity results available and one generally expects the solution to be non-smooth.\r\nNumerical experiments illustrate and expand on the theoretical results.</jats:p>"}],"publication":"Computational Methods in Applied Mathematics","keyword":["Applied Mathematics","Computational Mathematics","Numerical Analysis"],"language":[{"iso":"eng"}],"year":"2022","issue":"1","title":"FEM-BEM Coupling for the Maxwell–Landau–Lifshitz–Gilbert Equations via Convolution Quadrature: Weak Form and Numerical Approximation","publisher":"Walter de Gruyter GmbH","date_created":"2023-07-10T11:43:13Z"},{"publication_status":"published","publication_identifier":{"issn":["2073-4859"]},"issue":"1","year":"2022","citation":{"apa":"Feng, Y., Gries, T., Letmathe, S., &#38; Schulz, D. (2022). The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series. <i>The R Journal</i>, <i>14</i>(1), 182–195. <a href=\"https://doi.org/10.32614/rj-2022-017\">https://doi.org/10.32614/rj-2022-017</a>","mla":"Feng, Yuanhua, et al. “The Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.” <i>The R Journal</i>, vol. 14, no. 1, The R Foundation, 2022, pp. 182–95, doi:<a href=\"https://doi.org/10.32614/rj-2022-017\">10.32614/rj-2022-017</a>.","short":"Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.","bibtex":"@article{Feng_Gries_Letmathe_Schulz_2022, title={The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series}, volume={14}, DOI={<a href=\"https://doi.org/10.32614/rj-2022-017\">10.32614/rj-2022-017</a>}, number={1}, journal={The R Journal}, publisher={The R Foundation}, author={Feng, Yuanhua and Gries, Thomas and Letmathe, Sebastian and Schulz, Dominik}, year={2022}, pages={182–195} }","chicago":"Feng, Yuanhua, Thomas Gries, Sebastian Letmathe, and Dominik Schulz. “The Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.” <i>The R Journal</i> 14, no. 1 (2022): 182–95. <a href=\"https://doi.org/10.32614/rj-2022-017\">https://doi.org/10.32614/rj-2022-017</a>.","ieee":"Y. Feng, T. Gries, S. Letmathe, and D. Schulz, “The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series,” <i>The R Journal</i>, vol. 14, no. 1, pp. 182–195, 2022, doi: <a href=\"https://doi.org/10.32614/rj-2022-017\">10.32614/rj-2022-017</a>.","ama":"Feng Y, Gries T, Letmathe S, Schulz D. The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series. <i>The R Journal</i>. 2022;14(1):182-195. doi:<a href=\"https://doi.org/10.32614/rj-2022-017\">10.32614/rj-2022-017</a>"},"page":"182-195","intvolume":"        14","date_updated":"2024-06-12T12:57:13Z","publisher":"The R Foundation","author":[{"first_name":"Yuanhua","last_name":"Feng","full_name":"Feng, Yuanhua"},{"first_name":"Thomas","last_name":"Gries","full_name":"Gries, Thomas"},{"first_name":"Sebastian","last_name":"Letmathe","full_name":"Letmathe, Sebastian"},{"first_name":"Dominik","last_name":"Schulz","full_name":"Schulz, Dominik"}],"date_created":"2023-12-21T12:09:31Z","volume":14,"title":"The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series","doi":"10.32614/rj-2022-017","type":"journal_article","publication":"The R Journal","status":"public","_id":"50024","user_id":"186","department":[{"_id":"475"},{"_id":"19"},{"_id":"200"}],"keyword":["Statistics","Probability and Uncertainty","Numerical Analysis","Statistics and Probability"],"language":[{"iso":"eng"}]},{"publisher":"Mathematical Sciences Publishers","date_created":"2022-11-14T12:55:22Z","title":"A polymorphic uncertainty model for the curing process of transversely fiber-reinforced plastics","quality_controlled":"1","issue":"1","year":"2022","keyword":["Computational Mathematics","Numerical Analysis","Civil and Structural Engineering"],"language":[{"iso":"eng"}],"publication":"Mathematics and Mechanics of Complex Systems","date_updated":"2023-04-27T10:04:44Z","volume":10,"author":[{"full_name":"Penner, Eduard","last_name":"Penner","first_name":"Eduard"},{"full_name":"Caylak, Ismail","id":"75","last_name":"Caylak","first_name":"Ismail"},{"id":"335","full_name":"Mahnken, Rolf","last_name":"Mahnken","first_name":"Rolf"}],"doi":"10.2140/memocs.2022.10.21","publication_identifier":{"issn":["2325-3444","2326-7186"]},"publication_status":"published","intvolume":"        10","page":"21-50","citation":{"bibtex":"@article{Penner_Caylak_Mahnken_2022, title={A polymorphic uncertainty model for the curing process of transversely fiber-reinforced plastics}, volume={10}, DOI={<a href=\"https://doi.org/10.2140/memocs.2022.10.21\">10.2140/memocs.2022.10.21</a>}, number={1}, journal={Mathematics and Mechanics of Complex Systems}, publisher={Mathematical Sciences Publishers}, author={Penner, Eduard and Caylak, Ismail and Mahnken, Rolf}, year={2022}, pages={21–50} }","mla":"Penner, Eduard, et al. “A Polymorphic Uncertainty Model for the Curing Process of Transversely Fiber-Reinforced Plastics.” <i>Mathematics and Mechanics of Complex Systems</i>, vol. 10, no. 1, Mathematical Sciences Publishers, 2022, pp. 21–50, doi:<a href=\"https://doi.org/10.2140/memocs.2022.10.21\">10.2140/memocs.2022.10.21</a>.","short":"E. Penner, I. Caylak, R. Mahnken, Mathematics and Mechanics of Complex Systems 10 (2022) 21–50.","apa":"Penner, E., Caylak, I., &#38; Mahnken, R. (2022). A polymorphic uncertainty model for the curing process of transversely fiber-reinforced plastics. <i>Mathematics and Mechanics of Complex Systems</i>, <i>10</i>(1), 21–50. <a href=\"https://doi.org/10.2140/memocs.2022.10.21\">https://doi.org/10.2140/memocs.2022.10.21</a>","chicago":"Penner, Eduard, Ismail Caylak, and Rolf Mahnken. “A Polymorphic Uncertainty Model for the Curing Process of Transversely Fiber-Reinforced Plastics.” <i>Mathematics and Mechanics of Complex Systems</i> 10, no. 1 (2022): 21–50. <a href=\"https://doi.org/10.2140/memocs.2022.10.21\">https://doi.org/10.2140/memocs.2022.10.21</a>.","ieee":"E. Penner, I. Caylak, and R. Mahnken, “A polymorphic uncertainty model for the curing process of transversely fiber-reinforced plastics,” <i>Mathematics and Mechanics of Complex Systems</i>, vol. 10, no. 1, pp. 21–50, 2022, doi: <a href=\"https://doi.org/10.2140/memocs.2022.10.21\">10.2140/memocs.2022.10.21</a>.","ama":"Penner E, Caylak I, Mahnken R. A polymorphic uncertainty model for the curing process of transversely fiber-reinforced plastics. <i>Mathematics and Mechanics of Complex Systems</i>. 2022;10(1):21-50. doi:<a href=\"https://doi.org/10.2140/memocs.2022.10.21\">10.2140/memocs.2022.10.21</a>"},"_id":"34075","department":[{"_id":"9"},{"_id":"154"},{"_id":"321"}],"user_id":"335","type":"journal_article","status":"public"},{"publication":"The R Journal","type":"journal_article","status":"public","user_id":"186","_id":"50025","language":[{"iso":"eng"}],"keyword":["Statistics","Probability and Uncertainty","Numerical Analysis","Statistics and Probability"],"issue":"1","publication_identifier":{"issn":["2073-4859"]},"publication_status":"published","intvolume":"        14","page":"182-195","citation":{"bibtex":"@article{Feng_Gries_Letmathe_Schulz_2022, title={The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series}, volume={14}, DOI={<a href=\"https://doi.org/10.32614/rj-2022-017\">10.32614/rj-2022-017</a>}, number={1}, journal={The R Journal}, publisher={The R Foundation}, author={Feng, Yuanhua and Gries, Thomas and Letmathe, Sebastian and Schulz, Dominik}, year={2022}, pages={182–195} }","mla":"Feng, Yuanhua, et al. “The Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.” <i>The R Journal</i>, vol. 14, no. 1, The R Foundation, 2022, pp. 182–95, doi:<a href=\"https://doi.org/10.32614/rj-2022-017\">10.32614/rj-2022-017</a>.","short":"Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.","apa":"Feng, Y., Gries, T., Letmathe, S., &#38; Schulz, D. (2022). The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series. <i>The R Journal</i>, <i>14</i>(1), 182–195. <a href=\"https://doi.org/10.32614/rj-2022-017\">https://doi.org/10.32614/rj-2022-017</a>","ieee":"Y. Feng, T. Gries, S. Letmathe, and D. Schulz, “The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series,” <i>The R Journal</i>, vol. 14, no. 1, pp. 182–195, 2022, doi: <a href=\"https://doi.org/10.32614/rj-2022-017\">10.32614/rj-2022-017</a>.","chicago":"Feng, Yuanhua, Thomas Gries, Sebastian Letmathe, and Dominik Schulz. “The Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.” <i>The R Journal</i> 14, no. 1 (2022): 182–95. <a href=\"https://doi.org/10.32614/rj-2022-017\">https://doi.org/10.32614/rj-2022-017</a>.","ama":"Feng Y, Gries T, Letmathe S, Schulz D. The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series. <i>The R Journal</i>. 2022;14(1):182-195. doi:<a href=\"https://doi.org/10.32614/rj-2022-017\">10.32614/rj-2022-017</a>"},"year":"2022","volume":14,"date_created":"2023-12-21T12:09:53Z","author":[{"first_name":"Yuanhua","last_name":"Feng","full_name":"Feng, Yuanhua","id":"20760"},{"first_name":"Thomas","full_name":"Gries, Thomas","id":"186","last_name":"Gries"},{"first_name":"Sebastian","full_name":"Letmathe, Sebastian","last_name":"Letmathe"},{"full_name":"Schulz, Dominik","last_name":"Schulz","first_name":"Dominik"}],"publisher":"The R Foundation","date_updated":"2025-11-10T09:32:36Z","doi":"10.32614/rj-2022-017","title":"The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series"},{"year":"2021","issue":"4","title":"Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo","date_created":"2022-10-10T08:15:23Z","publisher":"Wiley","publication":"Advanced Theory and Simulations","language":[{"iso":"eng"}],"keyword":["Multidisciplinary","Modeling and Simulation","Numerical Analysis","Statistics and Probability"],"intvolume":"         4","citation":{"ama":"Kessler J, Calcavecchia F, Kühne T. Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo. <i>Advanced Theory and Simulations</i>. 2021;4(4). doi:<a href=\"https://doi.org/10.1002/adts.202000269\">10.1002/adts.202000269</a>","chicago":"Kessler, Jan, Francesco Calcavecchia, and Thomas Kühne. “Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo.” <i>Advanced Theory and Simulations</i> 4, no. 4 (2021). <a href=\"https://doi.org/10.1002/adts.202000269\">https://doi.org/10.1002/adts.202000269</a>.","ieee":"J. Kessler, F. Calcavecchia, and T. Kühne, “Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo,” <i>Advanced Theory and Simulations</i>, vol. 4, no. 4, Art. no. 2000269, 2021, doi: <a href=\"https://doi.org/10.1002/adts.202000269\">10.1002/adts.202000269</a>.","short":"J. Kessler, F. Calcavecchia, T. Kühne, Advanced Theory and Simulations 4 (2021).","bibtex":"@article{Kessler_Calcavecchia_Kühne_2021, title={Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo}, volume={4}, DOI={<a href=\"https://doi.org/10.1002/adts.202000269\">10.1002/adts.202000269</a>}, number={42000269}, journal={Advanced Theory and Simulations}, publisher={Wiley}, author={Kessler, Jan and Calcavecchia, Francesco and Kühne, Thomas}, year={2021} }","mla":"Kessler, Jan, et al. “Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo.” <i>Advanced Theory and Simulations</i>, vol. 4, no. 4, 2000269, Wiley, 2021, doi:<a href=\"https://doi.org/10.1002/adts.202000269\">10.1002/adts.202000269</a>.","apa":"Kessler, J., Calcavecchia, F., &#38; Kühne, T. (2021). Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo. <i>Advanced Theory and Simulations</i>, <i>4</i>(4), Article 2000269. <a href=\"https://doi.org/10.1002/adts.202000269\">https://doi.org/10.1002/adts.202000269</a>"},"publication_identifier":{"issn":["2513-0390","2513-0390"]},"publication_status":"published","doi":"10.1002/adts.202000269","volume":4,"author":[{"full_name":"Kessler, Jan","id":"65425","orcid":"0000-0002-8705-6992","last_name":"Kessler","first_name":"Jan"},{"full_name":"Calcavecchia, Francesco","last_name":"Calcavecchia","first_name":"Francesco"},{"first_name":"Thomas","full_name":"Kühne, Thomas","id":"49079","last_name":"Kühne"}],"date_updated":"2022-10-10T08:15:37Z","status":"public","type":"journal_article","article_number":"2000269","department":[{"_id":"613"}],"user_id":"71051","_id":"33649"},{"title":"Computing arbitrary Lagrangian Eulerian maps for evolving surfaces","doi":"10.1002/num.22340","publisher":"Wiley","date_updated":"2024-04-03T09:21:13Z","date_created":"2023-07-10T11:41:54Z","author":[{"full_name":"Kovács, Balázs","id":"100441","last_name":"Kovács","orcid":"0000-0001-9872-3474","first_name":"Balázs"}],"volume":35,"year":"2018","citation":{"ieee":"B. Kovács, “Computing arbitrary Lagrangian Eulerian maps for evolving surfaces,” <i>Numerical Methods for Partial Differential Equations</i>, vol. 35, no. 3, pp. 1093–1112, 2018, doi: <a href=\"https://doi.org/10.1002/num.22340\">10.1002/num.22340</a>.","chicago":"Kovács, Balázs. “Computing Arbitrary Lagrangian Eulerian Maps for Evolving Surfaces.” <i>Numerical Methods for Partial Differential Equations</i> 35, no. 3 (2018): 1093–1112. <a href=\"https://doi.org/10.1002/num.22340\">https://doi.org/10.1002/num.22340</a>.","ama":"Kovács B. Computing arbitrary Lagrangian Eulerian maps for evolving surfaces. <i>Numerical Methods for Partial Differential Equations</i>. 2018;35(3):1093-1112. doi:<a href=\"https://doi.org/10.1002/num.22340\">10.1002/num.22340</a>","apa":"Kovács, B. (2018). Computing arbitrary Lagrangian Eulerian maps for evolving surfaces. <i>Numerical Methods for Partial Differential Equations</i>, <i>35</i>(3), 1093–1112. <a href=\"https://doi.org/10.1002/num.22340\">https://doi.org/10.1002/num.22340</a>","mla":"Kovács, Balázs. “Computing Arbitrary Lagrangian Eulerian Maps for Evolving Surfaces.” <i>Numerical Methods for Partial Differential Equations</i>, vol. 35, no. 3, Wiley, 2018, pp. 1093–112, doi:<a href=\"https://doi.org/10.1002/num.22340\">10.1002/num.22340</a>.","bibtex":"@article{Kovács_2018, title={Computing arbitrary Lagrangian Eulerian maps for evolving surfaces}, volume={35}, DOI={<a href=\"https://doi.org/10.1002/num.22340\">10.1002/num.22340</a>}, number={3}, journal={Numerical Methods for Partial Differential Equations}, publisher={Wiley}, author={Kovács, Balázs}, year={2018}, pages={1093–1112} }","short":"B. Kovács, Numerical Methods for Partial Differential Equations 35 (2018) 1093–1112."},"intvolume":"        35","page":"1093-1112","publication_status":"published","publication_identifier":{"issn":["0749-159X","1098-2426"]},"issue":"3","keyword":["Applied Mathematics","Computational Mathematics","Numerical Analysis","Analysis"],"language":[{"iso":"eng"}],"_id":"45951","user_id":"100441","department":[{"_id":"841"}],"status":"public","type":"journal_article","publication":"Numerical Methods for Partial Differential Equations"},{"status":"public","type":"journal_article","publication":"Numerical Methods for Partial Differential Equations","keyword":["Applied Mathematics","Computational Mathematics","Numerical Analysis","Analysis"],"language":[{"iso":"eng"}],"_id":"45946","user_id":"100441","department":[{"_id":"841"}],"year":"2017","citation":{"apa":"Kovács, B., &#38; Power Guerra, C. A. (2017). Maximum norm stability and error estimates for the evolving surface finite element method. <i>Numerical Methods for Partial Differential Equations</i>, <i>34</i>(2), 518–554. <a href=\"https://doi.org/10.1002/num.22212\">https://doi.org/10.1002/num.22212</a>","mla":"Kovács, Balázs, and Christian Andreas Power Guerra. “Maximum Norm Stability and Error Estimates for the Evolving Surface Finite Element Method.” <i>Numerical Methods for Partial Differential Equations</i>, vol. 34, no. 2, Wiley, 2017, pp. 518–54, doi:<a href=\"https://doi.org/10.1002/num.22212\">10.1002/num.22212</a>.","bibtex":"@article{Kovács_Power Guerra_2017, title={Maximum norm stability and error estimates for the evolving surface finite element method}, volume={34}, DOI={<a href=\"https://doi.org/10.1002/num.22212\">10.1002/num.22212</a>}, number={2}, journal={Numerical Methods for Partial Differential Equations}, publisher={Wiley}, author={Kovács, Balázs and Power Guerra, Christian Andreas}, year={2017}, pages={518–554} }","short":"B. Kovács, C.A. Power Guerra, Numerical Methods for Partial Differential Equations 34 (2017) 518–554.","chicago":"Kovács, Balázs, and Christian Andreas Power Guerra. “Maximum Norm Stability and Error Estimates for the Evolving Surface Finite Element Method.” <i>Numerical Methods for Partial Differential Equations</i> 34, no. 2 (2017): 518–54. <a href=\"https://doi.org/10.1002/num.22212\">https://doi.org/10.1002/num.22212</a>.","ieee":"B. Kovács and C. A. Power Guerra, “Maximum norm stability and error estimates for the evolving surface finite element method,” <i>Numerical Methods for Partial Differential Equations</i>, vol. 34, no. 2, pp. 518–554, 2017, doi: <a href=\"https://doi.org/10.1002/num.22212\">10.1002/num.22212</a>.","ama":"Kovács B, Power Guerra CA. Maximum norm stability and error estimates for the evolving surface finite element method. <i>Numerical Methods for Partial Differential Equations</i>. 2017;34(2):518-554. doi:<a href=\"https://doi.org/10.1002/num.22212\">10.1002/num.22212</a>"},"intvolume":"        34","page":"518-554","publication_status":"published","publication_identifier":{"issn":["0749-159X"]},"issue":"2","title":"Maximum norm stability and error estimates for the evolving surface finite element method","doi":"10.1002/num.22212","date_updated":"2024-04-03T09:22:00Z","publisher":"Wiley","date_created":"2023-07-10T11:40:24Z","author":[{"last_name":"Kovács","orcid":"0000-0001-9872-3474","full_name":"Kovács, Balázs","id":"100441","first_name":"Balázs"},{"first_name":"Christian Andreas","last_name":"Power Guerra","full_name":"Power Guerra, Christian Andreas"}],"volume":34},{"page":"518-554","intvolume":"        34","citation":{"apa":"Kovács, B., &#38; Power Guerra, C. A. (2017). Maximum norm stability and error estimates for the evolving surface finite element method. <i>Numerical Methods for Partial Differential Equations</i>, <i>34</i>(2), 518–554. <a href=\"https://doi.org/10.1002/num.22212\">https://doi.org/10.1002/num.22212</a>","short":"B. Kovács, C.A. Power Guerra, Numerical Methods for Partial Differential Equations 34 (2017) 518–554.","mla":"Kovács, Balázs, and Christian Andreas Power Guerra. “Maximum Norm Stability and Error Estimates for the Evolving Surface Finite Element Method.” <i>Numerical Methods for Partial Differential Equations</i>, vol. 34, no. 2, Wiley, 2017, pp. 518–54, doi:<a href=\"https://doi.org/10.1002/num.22212\">10.1002/num.22212</a>.","bibtex":"@article{Kovács_Power Guerra_2017, title={Maximum norm stability and error estimates for the evolving surface finite element method}, volume={34}, DOI={<a href=\"https://doi.org/10.1002/num.22212\">10.1002/num.22212</a>}, number={2}, journal={Numerical Methods for Partial Differential Equations}, publisher={Wiley}, author={Kovács, Balázs and Power Guerra, Christian Andreas}, year={2017}, pages={518–554} }","ama":"Kovács B, Power Guerra CA. Maximum norm stability and error estimates for the evolving surface finite element method. <i>Numerical Methods for Partial Differential Equations</i>. 2017;34(2):518-554. doi:<a href=\"https://doi.org/10.1002/num.22212\">10.1002/num.22212</a>","ieee":"B. Kovács and C. A. Power Guerra, “Maximum norm stability and error estimates for the evolving surface finite element method,” <i>Numerical Methods for Partial Differential Equations</i>, vol. 34, no. 2, pp. 518–554, 2017, doi: <a href=\"https://doi.org/10.1002/num.22212\">10.1002/num.22212</a>.","chicago":"Kovács, Balázs, and Christian Andreas Power Guerra. “Maximum Norm Stability and Error Estimates for the Evolving Surface Finite Element Method.” <i>Numerical Methods for Partial Differential Equations</i> 34, no. 2 (2017): 518–54. <a href=\"https://doi.org/10.1002/num.22212\">https://doi.org/10.1002/num.22212</a>."},"publication_identifier":{"issn":["0749-159X"]},"publication_status":"published","doi":"10.1002/num.22212","date_updated":"2024-04-03T09:22:09Z","volume":34,"author":[{"last_name":"Kovács","full_name":"Kovács, Balázs","first_name":"Balázs"},{"full_name":"Power Guerra, Christian Andreas","last_name":"Power Guerra","first_name":"Christian Andreas"}],"status":"public","type":"journal_article","_id":"45945","department":[{"_id":"841"}],"user_id":"100441","year":"2017","issue":"2","title":"Maximum norm stability and error estimates for the evolving surface finite element method","publisher":"Wiley","date_created":"2023-07-10T11:40:00Z","publication":"Numerical Methods for Partial Differential Equations","keyword":["Applied Mathematics","Computational Mathematics","Numerical Analysis","Analysis"],"language":[{"iso":"eng"}]},{"publication_status":"published","publication_identifier":{"issn":["0749-159X"]},"citation":{"bibtex":"@article{Kovács_Power Guerra_2016, title={Error analysis for full discretizations of quasilinear parabolic problems on evolving surfaces}, volume={32}, DOI={<a href=\"https://doi.org/10.1002/num.22047\">10.1002/num.22047</a>}, number={4}, journal={Numerical Methods for Partial Differential Equations}, publisher={Wiley}, author={Kovács, Balázs and Power Guerra, Christian Andreas}, year={2016}, pages={1200–1231} }","mla":"Kovács, Balázs, and Christian Andreas Power Guerra. “Error Analysis for Full Discretizations of Quasilinear Parabolic Problems on Evolving Surfaces.” <i>Numerical Methods for Partial Differential Equations</i>, vol. 32, no. 4, Wiley, 2016, pp. 1200–31, doi:<a href=\"https://doi.org/10.1002/num.22047\">10.1002/num.22047</a>.","short":"B. Kovács, C.A. Power Guerra, Numerical Methods for Partial Differential Equations 32 (2016) 1200–1231.","apa":"Kovács, B., &#38; Power Guerra, C. A. (2016). Error analysis for full discretizations of quasilinear parabolic problems on evolving surfaces. <i>Numerical Methods for Partial Differential Equations</i>, <i>32</i>(4), 1200–1231. <a href=\"https://doi.org/10.1002/num.22047\">https://doi.org/10.1002/num.22047</a>","ieee":"B. Kovács and C. A. Power Guerra, “Error analysis for full discretizations of quasilinear parabolic problems on evolving surfaces,” <i>Numerical Methods for Partial Differential Equations</i>, vol. 32, no. 4, pp. 1200–1231, 2016, doi: <a href=\"https://doi.org/10.1002/num.22047\">10.1002/num.22047</a>.","chicago":"Kovács, Balázs, and Christian Andreas Power Guerra. “Error Analysis for Full Discretizations of Quasilinear Parabolic Problems on Evolving Surfaces.” <i>Numerical Methods for Partial Differential Equations</i> 32, no. 4 (2016): 1200–1231. <a href=\"https://doi.org/10.1002/num.22047\">https://doi.org/10.1002/num.22047</a>.","ama":"Kovács B, Power Guerra CA. Error analysis for full discretizations of quasilinear parabolic problems on evolving surfaces. <i>Numerical Methods for Partial Differential Equations</i>. 2016;32(4):1200-1231. doi:<a href=\"https://doi.org/10.1002/num.22047\">10.1002/num.22047</a>"},"intvolume":"        32","page":"1200-1231","author":[{"first_name":"Balázs","full_name":"Kovács, Balázs","id":"100441","orcid":"0000-0001-9872-3474","last_name":"Kovács"},{"first_name":"Christian Andreas","full_name":"Power Guerra, Christian Andreas","last_name":"Power Guerra"}],"volume":32,"date_updated":"2024-04-03T09:23:28Z","doi":"10.1002/num.22047","type":"journal_article","status":"public","user_id":"100441","department":[{"_id":"841"}],"_id":"45936","alternative_title":["Error Analysis for Quasilinear Problems on Evolving Surfaces"],"issue":"4","year":"2016","date_created":"2023-07-10T11:35:34Z","publisher":"Wiley","title":"Error analysis for full discretizations of quasilinear parabolic problems on evolving surfaces","publication":"Numerical Methods for Partial Differential Equations","language":[{"iso":"eng"}],"keyword":["Applied Mathematics","Computational Mathematics","Numerical Analysis","Analysis"]},{"publication":"SIAM Journal on Numerical Analysis","language":[{"iso":"eng"}],"keyword":["Numerical Analysis","Applied Mathematics","Computational Mathematics"],"issue":"6","year":"2016","date_created":"2023-07-10T11:38:15Z","publisher":"Society for Industrial & Applied Mathematics (SIAM)","title":"A-Stable Time Discretizations Preserve Maximal Parabolic Regularity","type":"journal_article","status":"public","user_id":"100441","department":[{"_id":"841"}],"_id":"45939","publication_status":"published","publication_identifier":{"issn":["0036-1429","1095-7170"]},"citation":{"ama":"Kovács B, Li B, Lubich C. A-Stable Time Discretizations Preserve Maximal Parabolic Regularity. <i>SIAM Journal on Numerical Analysis</i>. 2016;54(6):3600-3624. doi:<a href=\"https://doi.org/10.1137/15m1040918\">10.1137/15m1040918</a>","chicago":"Kovács, Balázs, Buyang Li, and Christian Lubich. “A-Stable Time Discretizations Preserve Maximal Parabolic Regularity.” <i>SIAM Journal on Numerical Analysis</i> 54, no. 6 (2016): 3600–3624. <a href=\"https://doi.org/10.1137/15m1040918\">https://doi.org/10.1137/15m1040918</a>.","ieee":"B. Kovács, B. Li, and C. Lubich, “A-Stable Time Discretizations Preserve Maximal Parabolic Regularity,” <i>SIAM Journal on Numerical Analysis</i>, vol. 54, no. 6, pp. 3600–3624, 2016, doi: <a href=\"https://doi.org/10.1137/15m1040918\">10.1137/15m1040918</a>.","apa":"Kovács, B., Li, B., &#38; Lubich, C. (2016). A-Stable Time Discretizations Preserve Maximal Parabolic Regularity. <i>SIAM Journal on Numerical Analysis</i>, <i>54</i>(6), 3600–3624. <a href=\"https://doi.org/10.1137/15m1040918\">https://doi.org/10.1137/15m1040918</a>","bibtex":"@article{Kovács_Li_Lubich_2016, title={A-Stable Time Discretizations Preserve Maximal Parabolic Regularity}, volume={54}, DOI={<a href=\"https://doi.org/10.1137/15m1040918\">10.1137/15m1040918</a>}, number={6}, journal={SIAM Journal on Numerical Analysis}, publisher={Society for Industrial &#38; Applied Mathematics (SIAM)}, author={Kovács, Balázs and Li, Buyang and Lubich, Christian}, year={2016}, pages={3600–3624} }","short":"B. Kovács, B. Li, C. Lubich, SIAM Journal on Numerical Analysis 54 (2016) 3600–3624.","mla":"Kovács, Balázs, et al. “A-Stable Time Discretizations Preserve Maximal Parabolic Regularity.” <i>SIAM Journal on Numerical Analysis</i>, vol. 54, no. 6, Society for Industrial &#38; Applied Mathematics (SIAM), 2016, pp. 3600–24, doi:<a href=\"https://doi.org/10.1137/15m1040918\">10.1137/15m1040918</a>."},"page":"3600-3624","intvolume":"        54","author":[{"first_name":"Balázs","orcid":"0000-0001-9872-3474","last_name":"Kovács","full_name":"Kovács, Balázs","id":"100441"},{"last_name":"Li","full_name":"Li, Buyang","first_name":"Buyang"},{"full_name":"Lubich, Christian","last_name":"Lubich","first_name":"Christian"}],"volume":54,"date_updated":"2024-04-03T09:23:00Z","doi":"10.1137/15m1040918"},{"year":"2014","citation":{"ieee":"O. Axelsson, J. Karátson, and B. Kovács, “Robust Preconditioning Estimates for Convection-Dominated Elliptic Problems via a Streamline Poincaré--Friedrichs Inequality,” <i>SIAM Journal on Numerical Analysis</i>, vol. 52, no. 6, pp. 2957–2976, 2014, doi: <a href=\"https://doi.org/10.1137/130940268\">10.1137/130940268</a>.","chicago":"Axelsson, Owe, János Karátson, and Balázs Kovács. “Robust Preconditioning Estimates for Convection-Dominated Elliptic Problems via a Streamline Poincaré--Friedrichs Inequality.” <i>SIAM Journal on Numerical Analysis</i> 52, no. 6 (2014): 2957–76. <a href=\"https://doi.org/10.1137/130940268\">https://doi.org/10.1137/130940268</a>.","ama":"Axelsson O, Karátson J, Kovács B. Robust Preconditioning Estimates for Convection-Dominated Elliptic Problems via a Streamline Poincaré--Friedrichs Inequality. <i>SIAM Journal on Numerical Analysis</i>. 2014;52(6):2957-2976. doi:<a href=\"https://doi.org/10.1137/130940268\">10.1137/130940268</a>","apa":"Axelsson, O., Karátson, J., &#38; Kovács, B. (2014). Robust Preconditioning Estimates for Convection-Dominated Elliptic Problems via a Streamline Poincaré--Friedrichs Inequality. <i>SIAM Journal on Numerical Analysis</i>, <i>52</i>(6), 2957–2976. <a href=\"https://doi.org/10.1137/130940268\">https://doi.org/10.1137/130940268</a>","short":"O. Axelsson, J. Karátson, B. Kovács, SIAM Journal on Numerical Analysis 52 (2014) 2957–2976.","mla":"Axelsson, Owe, et al. “Robust Preconditioning Estimates for Convection-Dominated Elliptic Problems via a Streamline Poincaré--Friedrichs Inequality.” <i>SIAM Journal on Numerical Analysis</i>, vol. 52, no. 6, Society for Industrial &#38; Applied Mathematics (SIAM), 2014, pp. 2957–76, doi:<a href=\"https://doi.org/10.1137/130940268\">10.1137/130940268</a>.","bibtex":"@article{Axelsson_Karátson_Kovács_2014, title={Robust Preconditioning Estimates for Convection-Dominated Elliptic Problems via a Streamline Poincaré--Friedrichs Inequality}, volume={52}, DOI={<a href=\"https://doi.org/10.1137/130940268\">10.1137/130940268</a>}, number={6}, journal={SIAM Journal on Numerical Analysis}, publisher={Society for Industrial &#38; Applied Mathematics (SIAM)}, author={Axelsson, Owe and Karátson, János and Kovács, Balázs}, year={2014}, pages={2957–2976} }"},"intvolume":"        52","page":"2957-2976","publication_status":"published","publication_identifier":{"issn":["0036-1429","1095-7170"]},"issue":"6","title":"Robust Preconditioning Estimates for Convection-Dominated Elliptic Problems via a Streamline Poincaré--Friedrichs Inequality","doi":"10.1137/130940268","publisher":"Society for Industrial & Applied Mathematics (SIAM)","date_updated":"2024-04-03T09:23:35Z","author":[{"last_name":"Axelsson","full_name":"Axelsson, Owe","first_name":"Owe"},{"last_name":"Karátson","full_name":"Karátson, János","first_name":"János"},{"last_name":"Kovács","full_name":"Kovács, Balázs","first_name":"Balázs"}],"date_created":"2023-07-10T11:35:14Z","volume":52,"status":"public","type":"journal_article","publication":"SIAM Journal on Numerical Analysis","keyword":["Numerical Analysis","Applied Mathematics","Computational Mathematics"],"language":[{"iso":"eng"}],"_id":"45935","user_id":"100441","department":[{"_id":"841"}]},{"publication_identifier":{"issn":["0021-9045"]},"publication_status":"published","intvolume":"       197","page":"30-48","citation":{"ama":"Rösler M, Remling H. Convolution algebras for Heckman–Opdam polynomials derived from compact Grassmannians. <i>Journal of Approximation Theory</i>. 2014;197:30-48. doi:<a href=\"https://doi.org/10.1016/j.jat.2014.07.005\">10.1016/j.jat.2014.07.005</a>","ieee":"M. Rösler and H. Remling, “Convolution algebras for Heckman–Opdam polynomials derived from compact Grassmannians,” <i>Journal of Approximation Theory</i>, vol. 197, pp. 30–48, 2014, doi: <a href=\"https://doi.org/10.1016/j.jat.2014.07.005\">10.1016/j.jat.2014.07.005</a>.","chicago":"Rösler, Margit, and Heiko Remling. “Convolution Algebras for Heckman–Opdam Polynomials Derived from Compact Grassmannians.” <i>Journal of Approximation Theory</i> 197 (2014): 30–48. <a href=\"https://doi.org/10.1016/j.jat.2014.07.005\">https://doi.org/10.1016/j.jat.2014.07.005</a>.","apa":"Rösler, M., &#38; Remling, H. (2014). Convolution algebras for Heckman–Opdam polynomials derived from compact Grassmannians. <i>Journal of Approximation Theory</i>, <i>197</i>, 30–48. <a href=\"https://doi.org/10.1016/j.jat.2014.07.005\">https://doi.org/10.1016/j.jat.2014.07.005</a>","bibtex":"@article{Rösler_Remling_2014, title={Convolution algebras for Heckman–Opdam polynomials derived from compact Grassmannians}, volume={197}, DOI={<a href=\"https://doi.org/10.1016/j.jat.2014.07.005\">10.1016/j.jat.2014.07.005</a>}, journal={Journal of Approximation Theory}, publisher={Elsevier BV}, author={Rösler, Margit and Remling, Heiko}, year={2014}, pages={30–48} }","mla":"Rösler, Margit, and Heiko Remling. “Convolution Algebras for Heckman–Opdam Polynomials Derived from Compact Grassmannians.” <i>Journal of Approximation Theory</i>, vol. 197, Elsevier BV, 2014, pp. 30–48, doi:<a href=\"https://doi.org/10.1016/j.jat.2014.07.005\">10.1016/j.jat.2014.07.005</a>.","short":"M. Rösler, H. Remling, Journal of Approximation Theory 197 (2014) 30–48."},"year":"2014","volume":197,"author":[{"full_name":"Rösler, Margit","id":"37390","last_name":"Rösler","first_name":"Margit"},{"first_name":"Heiko","full_name":"Remling, Heiko","last_name":"Remling"}],"date_created":"2023-01-20T09:30:22Z","publisher":"Elsevier BV","date_updated":"2023-01-24T22:15:33Z","doi":"10.1016/j.jat.2014.07.005","title":"Convolution algebras for Heckman–Opdam polynomials derived from compact Grassmannians","publication":"Journal of Approximation Theory","type":"journal_article","status":"public","department":[{"_id":"555"}],"user_id":"93826","_id":"37667","language":[{"iso":"eng"}],"keyword":["Applied Mathematics","General Mathematics","Numerical Analysis","Analysis"]},{"status":"public","type":"journal_article","publication":"International Journal for Numerical Methods in Engineering","language":[{"iso":"eng"}],"keyword":["Applied Mathematics","General Engineering","Numerical Analysis"],"user_id":"335","department":[{"_id":"9"},{"_id":"154"}],"_id":"45416","citation":{"short":"R. Mahnken, International Journal for Numerical Methods in Engineering 48 (2005) 1015–1036.","bibtex":"@article{Mahnken_2005, title={An inverse finite-element algorithm for parameter identification of thermoelastic damage models}, volume={48}, DOI={<a href=\"https://doi.org/10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4\">10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4</a>}, number={7}, journal={International Journal for Numerical Methods in Engineering}, publisher={Wiley}, author={Mahnken, Rolf}, year={2005}, pages={1015–1036} }","mla":"Mahnken, Rolf. “An Inverse Finite-Element Algorithm for Parameter Identification of Thermoelastic Damage Models.” <i>International Journal for Numerical Methods in Engineering</i>, vol. 48, no. 7, Wiley, 2005, pp. 1015–36, doi:<a href=\"https://doi.org/10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4\">10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4</a>.","apa":"Mahnken, R. (2005). An inverse finite-element algorithm for parameter identification of thermoelastic damage models. <i>International Journal for Numerical Methods in Engineering</i>, <i>48</i>(7), 1015–1036. <a href=\"https://doi.org/10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4\">https://doi.org/10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4</a>","ama":"Mahnken R. An inverse finite-element algorithm for parameter identification of thermoelastic damage models. <i>International Journal for Numerical Methods in Engineering</i>. 2005;48(7):1015-1036. doi:<a href=\"https://doi.org/10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4\">10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4</a>","ieee":"R. Mahnken, “An inverse finite-element algorithm for parameter identification of thermoelastic damage models,” <i>International Journal for Numerical Methods in Engineering</i>, vol. 48, no. 7, pp. 1015–1036, 2005, doi: <a href=\"https://doi.org/10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4\">10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4</a>.","chicago":"Mahnken, Rolf. “An Inverse Finite-Element Algorithm for Parameter Identification of Thermoelastic Damage Models.” <i>International Journal for Numerical Methods in Engineering</i> 48, no. 7 (2005): 1015–36. <a href=\"https://doi.org/10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4\">https://doi.org/10.1002/(sici)1097-0207(20000710)48:7&#60;1015::aid-nme912&#62;3.0.co;2-4</a>."},"intvolume":"        48","page":"1015-1036","year":"2005","issue":"7","publication_status":"published","quality_controlled":"1","publication_identifier":{"issn":["0029-5981","1097-0207"]},"doi":"10.1002/(sici)1097-0207(20000710)48:7<1015::aid-nme912>3.0.co;2-4","title":"An inverse finite-element algorithm for parameter identification of thermoelastic damage models","author":[{"last_name":"Mahnken","id":"335","full_name":"Mahnken, Rolf","first_name":"Rolf"}],"date_created":"2023-05-31T12:02:23Z","volume":48,"publisher":"Wiley","date_updated":"2023-05-31T12:02:56Z"},{"department":[{"_id":"9"},{"_id":"154"}],"user_id":"335","_id":"45433","language":[{"iso":"eng"}],"keyword":["Applied Mathematics","General Engineering","Numerical Analysis"],"publication":"International Journal for Numerical Methods in Engineering","type":"journal_article","status":"public","volume":35,"author":[{"first_name":"Rolf","full_name":"Mahnken, Rolf","id":"335","last_name":"Mahnken"},{"last_name":"Stein","full_name":"Stein, E.","first_name":"E."},{"full_name":"Bischoff, D.","last_name":"Bischoff","first_name":"D."}],"date_created":"2023-05-31T12:29:05Z","date_updated":"2023-05-31T12:29:34Z","publisher":"Wiley","doi":"10.1002/nme.1620350505","title":"A stabilization procedure by line-search computation for first order approximation strategies in structural optimization","issue":"5","quality_controlled":"1","publication_identifier":{"issn":["0029-5981","1097-0207"]},"publication_status":"published","page":"1015-1029","intvolume":"        35","citation":{"apa":"Mahnken, R., Stein, E., &#38; Bischoff, D. (2005). A stabilization procedure by line-search computation for first order approximation strategies in structural optimization. <i>International Journal for Numerical Methods in Engineering</i>, <i>35</i>(5), 1015–1029. <a href=\"https://doi.org/10.1002/nme.1620350505\">https://doi.org/10.1002/nme.1620350505</a>","bibtex":"@article{Mahnken_Stein_Bischoff_2005, title={A stabilization procedure by line-search computation for first order approximation strategies in structural optimization}, volume={35}, DOI={<a href=\"https://doi.org/10.1002/nme.1620350505\">10.1002/nme.1620350505</a>}, number={5}, journal={International Journal for Numerical Methods in Engineering}, publisher={Wiley}, author={Mahnken, Rolf and Stein, E. and Bischoff, D.}, year={2005}, pages={1015–1029} }","mla":"Mahnken, Rolf, et al. “A Stabilization Procedure by Line-Search Computation for First Order Approximation Strategies in Structural Optimization.” <i>International Journal for Numerical Methods in Engineering</i>, vol. 35, no. 5, Wiley, 2005, pp. 1015–29, doi:<a href=\"https://doi.org/10.1002/nme.1620350505\">10.1002/nme.1620350505</a>.","short":"R. Mahnken, E. Stein, D. Bischoff, International Journal for Numerical Methods in Engineering 35 (2005) 1015–1029.","ama":"Mahnken R, Stein E, Bischoff D. A stabilization procedure by line-search computation for first order approximation strategies in structural optimization. <i>International Journal for Numerical Methods in Engineering</i>. 2005;35(5):1015-1029. doi:<a href=\"https://doi.org/10.1002/nme.1620350505\">10.1002/nme.1620350505</a>","chicago":"Mahnken, Rolf, E. Stein, and D. Bischoff. “A Stabilization Procedure by Line-Search Computation for First Order Approximation Strategies in Structural Optimization.” <i>International Journal for Numerical Methods in Engineering</i> 35, no. 5 (2005): 1015–29. <a href=\"https://doi.org/10.1002/nme.1620350505\">https://doi.org/10.1002/nme.1620350505</a>.","ieee":"R. Mahnken, E. Stein, and D. Bischoff, “A stabilization procedure by line-search computation for first order approximation strategies in structural optimization,” <i>International Journal for Numerical Methods in Engineering</i>, vol. 35, no. 5, pp. 1015–1029, 2005, doi: <a href=\"https://doi.org/10.1002/nme.1620350505\">10.1002/nme.1620350505</a>."},"year":"2005"},{"department":[{"_id":"9"},{"_id":"154"}],"user_id":"335","_id":"45435","language":[{"iso":"eng"}],"keyword":["Applied Mathematics","General Engineering","Numerical Analysis"],"publication":"International Journal for Numerical Methods in Engineering","type":"journal_article","status":"public","volume":28,"author":[{"full_name":"Mahnken, Rolf","id":"335","last_name":"Mahnken","first_name":"Rolf"},{"last_name":"Stein","full_name":"Stein, Erwin","first_name":"Erwin"}],"date_created":"2023-05-31T12:30:12Z","publisher":"Wiley","date_updated":"2023-05-31T12:30:41Z","doi":"10.1002/nme.1620280711","title":"Adaptive time-step control in creep analysis","issue":"7","publication_identifier":{"issn":["0029-5981","1097-0207"]},"quality_controlled":"1","publication_status":"published","intvolume":"        28","page":"1619-1633","citation":{"bibtex":"@article{Mahnken_Stein_2005, title={Adaptive time-step control in creep analysis}, volume={28}, DOI={<a href=\"https://doi.org/10.1002/nme.1620280711\">10.1002/nme.1620280711</a>}, number={7}, journal={International Journal for Numerical Methods in Engineering}, publisher={Wiley}, author={Mahnken, Rolf and Stein, Erwin}, year={2005}, pages={1619–1633} }","mla":"Mahnken, Rolf, and Erwin Stein. “Adaptive Time-Step Control in Creep Analysis.” <i>International Journal for Numerical Methods in Engineering</i>, vol. 28, no. 7, Wiley, 2005, pp. 1619–33, doi:<a href=\"https://doi.org/10.1002/nme.1620280711\">10.1002/nme.1620280711</a>.","short":"R. Mahnken, E. Stein, International Journal for Numerical Methods in Engineering 28 (2005) 1619–1633.","apa":"Mahnken, R., &#38; Stein, E. (2005). Adaptive time-step control in creep analysis. <i>International Journal for Numerical Methods in Engineering</i>, <i>28</i>(7), 1619–1633. <a href=\"https://doi.org/10.1002/nme.1620280711\">https://doi.org/10.1002/nme.1620280711</a>","ama":"Mahnken R, Stein E. Adaptive time-step control in creep analysis. <i>International Journal for Numerical Methods in Engineering</i>. 2005;28(7):1619-1633. doi:<a href=\"https://doi.org/10.1002/nme.1620280711\">10.1002/nme.1620280711</a>","chicago":"Mahnken, Rolf, and Erwin Stein. “Adaptive Time-Step Control in Creep Analysis.” <i>International Journal for Numerical Methods in Engineering</i> 28, no. 7 (2005): 1619–33. <a href=\"https://doi.org/10.1002/nme.1620280711\">https://doi.org/10.1002/nme.1620280711</a>.","ieee":"R. Mahnken and E. Stein, “Adaptive time-step control in creep analysis,” <i>International Journal for Numerical Methods in Engineering</i>, vol. 28, no. 7, pp. 1619–1633, 2005, doi: <a href=\"https://doi.org/10.1002/nme.1620280711\">10.1002/nme.1620280711</a>."},"year":"2005"},{"type":"journal_article","publication":"Journal of Approximation Theory","status":"public","user_id":"93826","department":[{"_id":"555"}],"_id":"39959","language":[{"iso":"eng"}],"extern":"1","keyword":["Applied Mathematics","General Mathematics","Numerical Analysis","Analysis"],"issue":"1","publication_status":"published","publication_identifier":{"issn":["0021-9045"]},"citation":{"apa":"Rösler, M., &#38; de Jeu, M. (2002). Asymptotic Analysis for the Dunkl Kernel. <i>Journal of Approximation Theory</i>, <i>119</i>(1), 110–126. <a href=\"https://doi.org/10.1006/jath.2002.3722\">https://doi.org/10.1006/jath.2002.3722</a>","short":"M. Rösler, M. de Jeu, Journal of Approximation Theory 119 (2002) 110–126.","mla":"Rösler, Margit, and Marcel de Jeu. “Asymptotic Analysis for the Dunkl Kernel.” <i>Journal of Approximation Theory</i>, vol. 119, no. 1, Elsevier BV, 2002, pp. 110–26, doi:<a href=\"https://doi.org/10.1006/jath.2002.3722\">10.1006/jath.2002.3722</a>.","bibtex":"@article{Rösler_de Jeu_2002, title={Asymptotic Analysis for the Dunkl Kernel}, volume={119}, DOI={<a href=\"https://doi.org/10.1006/jath.2002.3722\">10.1006/jath.2002.3722</a>}, number={1}, journal={Journal of Approximation Theory}, publisher={Elsevier BV}, author={Rösler, Margit and de Jeu, Marcel}, year={2002}, pages={110–126} }","ama":"Rösler M, de Jeu M. Asymptotic Analysis for the Dunkl Kernel. <i>Journal of Approximation Theory</i>. 2002;119(1):110-126. doi:<a href=\"https://doi.org/10.1006/jath.2002.3722\">10.1006/jath.2002.3722</a>","ieee":"M. Rösler and M. de Jeu, “Asymptotic Analysis for the Dunkl Kernel,” <i>Journal of Approximation Theory</i>, vol. 119, no. 1, pp. 110–126, 2002, doi: <a href=\"https://doi.org/10.1006/jath.2002.3722\">10.1006/jath.2002.3722</a>.","chicago":"Rösler, Margit, and Marcel de Jeu. “Asymptotic Analysis for the Dunkl Kernel.” <i>Journal of Approximation Theory</i> 119, no. 1 (2002): 110–26. <a href=\"https://doi.org/10.1006/jath.2002.3722\">https://doi.org/10.1006/jath.2002.3722</a>."},"page":"110-126","intvolume":"       119","year":"2002","date_created":"2023-01-25T10:20:13Z","author":[{"first_name":"Margit","last_name":"Rösler","id":"37390","full_name":"Rösler, Margit"},{"last_name":"de Jeu","full_name":"de Jeu, Marcel","first_name":"Marcel"}],"volume":119,"publisher":"Elsevier BV","date_updated":"2023-01-26T17:44:02Z","doi":"10.1006/jath.2002.3722","title":"Asymptotic Analysis for the Dunkl Kernel"},{"date_updated":"2023-05-31T12:18:12Z","volume":44,"author":[{"first_name":"Magnus","full_name":"Johansson, Magnus","last_name":"Johansson"},{"id":"335","full_name":"Mahnken, Rolf","last_name":"Mahnken","first_name":"Rolf"},{"last_name":"Runesson","full_name":"Runesson, Kenneth","first_name":"Kenneth"}],"doi":"10.1002/(sici)1097-0207(19990420)44:11<1727::aid-nme568>3.0.co;2-p","publication_identifier":{"issn":["0029-5981","1097-0207"]},"publication_status":"published","page":"1727-1747","intvolume":"        44","citation":{"mla":"Johansson, Magnus, et al. “Efficient Integration Technique for Generalized Viscoplasticity Coupled to Damage.” <i>International Journal for Numerical Methods in Engineering</i>, vol. 44, no. 11, Wiley, 2002, pp. 1727–47, doi:<a href=\"https://doi.org/10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p\">10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p</a>.","bibtex":"@article{Johansson_Mahnken_Runesson_2002, title={Efficient integration technique for generalized viscoplasticity coupled to damage}, volume={44}, DOI={<a href=\"https://doi.org/10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p\">10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p</a>}, number={11}, journal={International Journal for Numerical Methods in Engineering}, publisher={Wiley}, author={Johansson, Magnus and Mahnken, Rolf and Runesson, Kenneth}, year={2002}, pages={1727–1747} }","short":"M. Johansson, R. Mahnken, K. Runesson, International Journal for Numerical Methods in Engineering 44 (2002) 1727–1747.","apa":"Johansson, M., Mahnken, R., &#38; Runesson, K. (2002). Efficient integration technique for generalized viscoplasticity coupled to damage. <i>International Journal for Numerical Methods in Engineering</i>, <i>44</i>(11), 1727–1747. <a href=\"https://doi.org/10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p\">https://doi.org/10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p</a>","ama":"Johansson M, Mahnken R, Runesson K. Efficient integration technique for generalized viscoplasticity coupled to damage. <i>International Journal for Numerical Methods in Engineering</i>. 2002;44(11):1727-1747. doi:<a href=\"https://doi.org/10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p\">10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p</a>","ieee":"M. Johansson, R. Mahnken, and K. Runesson, “Efficient integration technique for generalized viscoplasticity coupled to damage,” <i>International Journal for Numerical Methods in Engineering</i>, vol. 44, no. 11, pp. 1727–1747, 2002, doi: <a href=\"https://doi.org/10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p\">10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p</a>.","chicago":"Johansson, Magnus, Rolf Mahnken, and Kenneth Runesson. “Efficient Integration Technique for Generalized Viscoplasticity Coupled to Damage.” <i>International Journal for Numerical Methods in Engineering</i> 44, no. 11 (2002): 1727–47. <a href=\"https://doi.org/10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p\">https://doi.org/10.1002/(sici)1097-0207(19990420)44:11&#60;1727::aid-nme568&#62;3.0.co;2-p</a>."},"_id":"45425","department":[{"_id":"9"},{"_id":"154"}],"user_id":"335","type":"journal_article","status":"public","publisher":"Wiley","date_created":"2023-05-31T12:17:46Z","title":"Efficient integration technique for generalized viscoplasticity coupled to damage","quality_controlled":"1","issue":"11","year":"2002","keyword":["Applied Mathematics","General Engineering","Numerical Analysis"],"language":[{"iso":"eng"}],"publication":"International Journal for Numerical Methods in Engineering"}]
