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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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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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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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Nonsmooth Optimization Methods

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

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

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A Variational Approach to Nonsmooth Dynamics

inequalities, complementarity systems, differential inclusions, second-order dynamics, Lur'e systems and Moreau's sweeping process. The field;

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Optimization for Data Analysis

; several key algorithms for constrained optimization problems; algorithms for minimizing nonsmooth functions arising in data science; foundations;

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Lectures on Nonsmooth Differential Geometry

detailed account of the first-order structure of general metric measure spaces is presented, and the reader is introduced to the second-order;

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Lectures on Nonsmooth Differential Geometry

detailed account of the first-order structure of general metric measure spaces is presented, and the reader is introduced to the second-order;

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Applications of the Topological Derivative Method

algorithm and its applications in topology optimization, and introduces the second order Newton-type reconstruction algorithm based on higher order;

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General Aviation Aircraft Design

General Aviation Aircraft Design, Second Edition, continues to be the engineer's best source for answers to realistic aircraft design;

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Optimization and Nonsmooth Analysis

has been praised both for its lively exposition and its fundamental contributions. The author first develops a general theory of nonsmooth;

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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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Nonsmooth Critical Point Theory and Nonlinear Boundary Value Problems

. This book fills that gap. It provides a complete presentation of nonsmooth critical point theory, then goes beyond it to study nonlinear second;

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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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Algorithms for Optimization

; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the;

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Higher Order Derivatives

The concept of higher order derivatives is useful in many branches of mathematics and its applications. As they are useful in many places;

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Higher Order Derivatives

The concept of higher order derivatives is useful in many branches of mathematics and its applications. As they are useful in many places;

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Fixed Point Theory, Variational Analysis, and Optimization

inequalities, and mathematical economics. It provides fundamental knowledge of directional derivatives and monotonicity required in understanding and;

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Fractional and Multivariable Calculus

, fractional derivatives, fractional differential equations and their solutions. Multivariable calculus is covered in the second chapter and introduces;

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Computational Methods for Inverse Problems in Imaging

aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the;

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Computational Methods for Inverse Problems in Imaging

aspects and applications. The formulation of inverse problems in imaging requires accurate mathematical modeling in order to preserve the;

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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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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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