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The objective of the conference is to bring together mathematicians, physicists and engineers to present and discuss recent developments in the area of mathematical control methods, modelling and nonsmoth optimization The conference scope includes the following areas the design tools of nonsmooth analysis, nonsmooth problems of variational calculus and control theory, nonsmooth mechanics problem, nondifferentional optimization, nonsmooth analysis applications, mathematical modeling, mathematical problems of diagnostics, methods of game theory, nonlinear Chebyshev approximation and optimization.
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Nonlinear Differential Problems with Smooth and Nonsmooth Constraints systematically evaluates how to solve boundary value problems with smooth and nonsmooth constraints. Primarily covering nonlinear elliptic eigenvalue problems and quasilinear elliptic problems using techniques amalgamated from a range of sophisticated nonlinear analysis domains, the work is suitable for PhD and other early career researchers seeking solutions to nonlinear differential equations. Although an advanced work, the book is self-contained, requiring only graduate-level knowledge of functional analysis and topology. Whenever suitable, open problems are stated and partial solutions proposed. The work is accompanied by end-of-chapter problems and carefully curated references.
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Nonsmooth optimization --- Mathematical optimization --- Mathematical analysis
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Nonsmooth optimization. --- Variational inequalities (Mathematics). --- Equilibrium.
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Differential operators --- Nonsmooth optimization --- Vector fields
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nonsmooth analysis --- nonsmooth optimization --- variational analysis --- equilibrium problems --- stochastic optimization --- bilevel optimization --- Nonsmooth optimization --- Nonsmooth analysis --- Optimization, Nonsmooth --- Mathematical optimization --- Nonsmooth optimization.
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Nonsmooth Analysis is a relatively recent area of mathematical analysis. The literature about this subject consists mainly in research papers and books. The purpose of this book is to provide a handbook for undergraduate and graduate students of mathematics that introduce this interesting area in detail.Includes different kinds of sub and super differentials as well as generalized gradientsIncludes also the main tools of the theory, as Sum and Chain Rules or Mean Value theoremsContent is introduced in an elementary way, developing many examples, allowing the r
Nonsmooth optimization. --- Nonsmooth analysis --- Optimization, Nonsmooth --- Mathematical optimization
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Geometry, Differential --- Nonsmooth optimization --- Spaces of constant curvature
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