On Minimization of Nonlinear Energies Using FEM in MATLAB

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F23%3A43907755" target="_blank" >RIV/60076658:12310/23:43907755 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/chapter/10.1007/978-3-031-30445-3_28" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-30445-3_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-30445-3_28" target="_blank" >10.1007/978-3-031-30445-3_28</a>

Jazyk výsledku
angličtina
Název v původním jazyce
On Minimization of Nonlinear Energies Using FEM in MATLAB
Popis výsledku v původním jazyce
Two minimization problems are added to the Moskovka and Valdman MATLAB package (2022): a Ginzburg-Landau (scalar) problem and a topology optimization (both scalar and vector) problem in linear elasticity. Both problems are described as nonlinear energy minimizations that contain the first gradient of the unknown field. Their energy functionals are discretized by finite elements, and the corresponding minima are searched using the trust-region method with a known Hessian sparsity or the Quasi-Newton method. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Název v anglickém jazyce
On Minimization of Nonlinear Energies Using FEM in MATLAB
Popis výsledku anglicky
Two minimization problems are added to the Moskovka and Valdman MATLAB package (2022): a Ginzburg-Landau (scalar) problem and a topology optimization (both scalar and vector) problem in linear elasticity. Both problems are described as nonlinear energy minimizations that contain the first gradient of the unknown field. Their energy functionals are discretized by finite elements, and the corresponding minima are searched using the trust-region method with a known Hessian sparsity or the Quasi-Newton method. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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