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Nonsmooth Optimization Methods

Nonsmooth Optimization Methods and Applications provides an overview of this branch of mathematics, concentrating on the interaction;

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Optimization for Data Analysis

of the analysis of nonsmooth functions and optimization duality; and the back-propagation approach, relevant to neural networks.;

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Second-Order Directional Derivatives in Nonsmooth Optimization

Second-Order Directional Derivatives in Nonsmooth Optimization is een boek van Liren Huang;

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Optimization and Nonsmooth Analysis

optimization. Clarke then applies these methods to obtain a powerful, unified approach to the analysis of problems in optimal control and mathematical;

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Numerical Nonsmooth Optimization

Solving nonsmooth optimization (NSO) problems is critical in many practical applications and real-world modeling systems. The aim of this;

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Nonlinear Analysis and Variational Problems

of functional equations, nonsmooth optimization, and several other important topics at the forefront of nonlinear analysis and optimization.;

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An Introduction to Nonlinear Optimization Theory

The goal of this book is to present the main ideas and techniques in the field of continuous smooth and nonsmooth optimization. Starting;

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Nonsmooth Mechanics and Convex Optimization

This book concerns matter that is intrinsically difficult: convex optimization, complementarity and duality, nonsmooth analysis, linear and;

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Nonsmooth Mechanics and Convex Optimization

This book concerns matter that is intrinsically difficult: convex optimization, complementarity and duality, nonsmooth analysis, linear and;

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Nonsmooth Optimization in Honor of the 60th Birthday of Adil M. Bagirov

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Geometric Control And Nonsmooth Analysis

of control theory and nonsmooth analysis, and also to point to future research directions.;

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Bifurcation And Chaos In Nonsmooth Mechanical Systems

This book presents the theoretical frame for studying lumped nonsmooth dynamical systems: the mathematical methods are recalled, and;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Partitional Clustering via Nonsmooth Optimization

This book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their;

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Mathematical Analysis and Optimization for Economists

In Mathematical Analysis and Optimization for Economists, the author aims to introduce students of economics to the power and versatility;

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A Variational Approach to Nonsmooth Dynamics

of modern variational and nonsmooth analysis. With the aim of bridging between the communities of applied mathematicians, engineers and;

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Nonlinear Programming Techniques for Equilibria

. convex optimization, nonsmooth calculus, proximal point and descent algorithms - as valuable tools for analyzing and solving Ky Fan inequalities.;

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Variational and Monotonicity Methods in Nonsmooth Analysis

mathematics as well as specialists working in nonsmooth analysis and engineering.;

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Nonsmooth Critical Point Theory and Nonlinear Boundary Value Problems

Starting in the early 1980s, people using the tools of nonsmooth analysis developed some remarkable nonsmooth extensions of the existing;

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Nonlinear Differential Problems with Smooth and Nonsmooth Constraints

Nonlinear Differential Problems with Smooth and Nonsmooth Constraints systematically evaluates how to solve boundary value problems;

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An Introduction to Nonsmooth Analysis

Nonsmooth Analysis is a relatively recent area of mathematical analysis. The literature about this subject consists mainly in research;

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Calculus Without Derivatives

Calculus Without Derivatives expounds the foundations and recent advances in nonsmooth analysis, a powerful compound of mathematical tools;

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Conformal Maps of Nonsmooth Surfaces and Their Applications

Conformal Maps of Nonsmooth Surfaces and Their Applications is een boek van Vladimir M. Miklyukov;

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Generalized Nash Equilibrium Problems Bilevel Programming and MPEC

primary aim of the book is to present the modern tool of variational analysis and optimization, which are used to analyze these three classes;

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Inverse Problems

. The computational methods include nonsmooth optimization algorithms, direct inversion methods and uncertainty quantification via Bayesian;

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Variational Methods in Nonlinear Analysis

This well-thought-out book covers the fundamentals of nonlinear analysis, with a particular focus on variational methods and their;

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Nonlinear Analysis

evolution model, nonsmooth vector optimization problems, anisotropic elliptic nonlinear problem, viscous primitive equations of geophysics;

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