Minimization of p-Laplacian via the Finite Element Method in MATLAB

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F22%3A00556726" target="_blank" >RIV/67985556:_____/22:00556726 - isvavai.cz</a>

Alternative codes found

RIV/67985807:_____/22:00556726 RIV/49777513:23520/22:43965838

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-030-97549-4_61" target="_blank" >http://dx.doi.org/10.1007/978-3-030-97549-4_61</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-97549-4_61" target="_blank" >10.1007/978-3-030-97549-4_61</a>

Result language

angličtina

Original language name

Minimization of p-Laplacian via the Finite Element Method in MATLAB

Original language description

Minimization of energy functionals is based on a discretization by the finite element method and optimization by the trust-region method. A key tool to an efficient implementation is a local evaluation of the approximated gradients together with sparsity of the resulting Hessian matrix. Vectorization concepts are explained for the p-Laplace problem in one and two space-dimensions.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10102 - Applied mathematics

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

Publication year

2022

Confidentiality

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

Article name in the collection

Large-Scale Scientific Computing

ISBN

978-3-030-97548-7

ISSN

0302-9743

e-ISSN

—

Number of pages

8

Pages from-to

533-540

Publisher name

Springer

Place of publication

Cham

Event location

Sozopol

Event date

Jun 7, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000893681300061