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Method of Steepest Descent for Two-Dimensional Problems of Calculus of Variations. / Dolgopolik, M.V.; Tamasyan, G.Sh.
Constructive Nonsmooth Analysis and Related Topics (Springer Optimization and Its Applications, Volume 87). Springer Nature, 2014. стр. 253 стр., 101-113.Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел
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TY - CHAP
T1 - Method of Steepest Descent for Two-Dimensional Problems of Calculus of Variations
AU - Dolgopolik, M.V.
AU - Tamasyan, G.Sh.
PY - 2014
Y1 - 2014
N2 - In this paper we demonstrate an application of nonsmooth analysis and the theory of exact penalty functions to two-dimensional problems of the calculus of variations. We derive necessary conditions for an extremum in the problem under consideration and use them to construct a new direct numerical minimization method (the method of steepest descent). We prove the convergence of the method and give numerical examples that show the efficiency of the suggested method.The described method can be very useful for solving various practical problems of mechanics, mathematical physics and calculus of variations.
AB - In this paper we demonstrate an application of nonsmooth analysis and the theory of exact penalty functions to two-dimensional problems of the calculus of variations. We derive necessary conditions for an extremum in the problem under consideration and use them to construct a new direct numerical minimization method (the method of steepest descent). We prove the convergence of the method and give numerical examples that show the efficiency of the suggested method.The described method can be very useful for solving various practical problems of mechanics, mathematical physics and calculus of variations.
KW - Method of steepest descent
KW - Two-dimensional problem
KW - Calculus of variations
U2 - 10.1007/978-1-4614-8615-2_7
DO - 10.1007/978-1-4614-8615-2_7
M3 - Chapter
SN - 978-1-4614-8614-5
SP - 253 стр., 101-113
BT - Constructive Nonsmooth Analysis and Related Topics (Springer Optimization and Its Applications, Volume 87)
PB - Springer Nature
ER -
ID: 4645320