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On Minimization of Nonlinear Energies Using FEM in MATLAB

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F23%3A00584116" target="_blank" >RIV/67985556:_____/23:00584116 - isvavai.cz</a>

  • Alternative codes found

    RIV/49777513:23520/23:43968559

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-031-30445-3_28" target="_blank" >http://dx.doi.org/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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Minimization of Nonlinear Energies Using FEM in MATLAB

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Parallel Processing and Applied Mathematics : 14th International Conference, PPAM 2022

  • ISBN

    978-3-031-30444-6

  • ISSN

    0302-9743

  • e-ISSN

    1611-3349

  • Number of pages

    12

  • Pages from-to

    331-342

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Gdansk

  • Event date

    Sep 11, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article