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Titlebook: Constructive Nonsmooth Analysis and Related Topics; Vladimir F. Demyanov,Panos M. Pardalos,Mikhail Bat Book 2014 Springer Science+Business

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51#
發(fā)表于 2025-3-30 09:27:53 | 只看該作者
Method of Steepest Descent for Two-Dimensional Problems of Calculus of Variations,nimization 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.
52#
發(fā)表于 2025-3-30 15:57:46 | 只看該作者
On a Quantitative Semicontinuity Property of Variational Systems with Applications to Perturbed Quametric spaces. Elements of nonsmooth analysis are subsequently employed to express and apply such result and its consequences in more structured settings. This approach leads to obtain a solvability, stability, and sensitivity condition for perturbed optimization problems with quasidifferentiable data.
53#
發(fā)表于 2025-3-30 19:05:00 | 只看該作者
1931-6828 tion theory covering a number of nonsmooth problems, is pres.This volume contains a collection of papers based on lectures and presentations delivered at the International Conference on Constructive Nonsmooth Analysis (CNSA) held in St. Petersburg (Russia) from June 18-23, 2012. This conference was
54#
發(fā)表于 2025-3-30 22:41:46 | 只看該作者
55#
發(fā)表于 2025-3-31 01:11:20 | 只看該作者
56#
發(fā)表于 2025-3-31 06:47:29 | 只看該作者
,Selbstverantwortung übernehmen,nimization 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.
57#
發(fā)表于 2025-3-31 10:02:58 | 只看該作者
https://doi.org/10.1007/978-3-642-10526-5metric spaces. Elements of nonsmooth analysis are subsequently employed to express and apply such result and its consequences in more structured settings. This approach leads to obtain a solvability, stability, and sensitivity condition for perturbed optimization problems with quasidifferentiable data.
58#
發(fā)表于 2025-3-31 16:29:05 | 只看該作者
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