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Numerical Nonsmooth Optimization

, the book is ideal for students attending courses on numerical nonsmooth optimization, for lecturers who teach optimization courses, and for;

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

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Nonlinear Programming Techniques for Equilibria

, together with a wealth of applications and numerical examples. Particular emphasis is placed on the role of nonlinear optimization techniques - e.g;

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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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Inverse Problems

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

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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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Computational Methods for Inverse Problems in Imaging

for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also;

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Computational Methods for Inverse Problems in Imaging

for smooth and nonsmooth convex minimization, on the use of structured (numerical) linear algebra, and on multilevel techniques. It also;

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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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Numerical Optimization in Engineering and Sciences

This book presents select peer-reviewed papers presented at the International Conference on Numerical Optimization in Engineering and;

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Numerical Optimization in Engineering and Sciences

This book presents select peer-reviewed papers presented at the International Conference on Numerical Optimization in Engineering and;

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Numerical Methods and Optimization

. Satisfying this prerequisite, Numerical Methods and Optimization: An Introduction combines the materials from introductory numerical methods and;

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Numerical Optimization

This book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It;

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Nonlinear Optimization

optimization. Definitions, proofs, and numerical methods are well illustrated and all chapters contain compelling exercises. The exercises emphasize;

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Optimization

numerical approximations required in the solution of semi-infinite optimization and optimal control problems are treated within the context of con;

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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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Introduction to Computational Mathematics

numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and;

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Numerical Optimization

numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts;

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Numerical Optimization

numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts;

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Numerical and Evolutionary Optimization 2018

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