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Introduction to Nonlinear and Global Optimization

This self-contained text provides a solid introduction to global and nonlinear optimization, providing students of mathematics and;

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Introduction to Global Optimization Exploiting Space Filling Curves

Introduction to Global Optimization Exploiting Space-Filling Curves provides an overview of classical and new results pertaining to the;

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Introduction to Global Optimization

applications. Most of the existing books on optimization focus on the problem of computing locally optimal solutions. Introduction to Global;

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An Introduction to Polynomial and Semi-Algebraic Optimization

This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems (and some related;

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Optimization Heuristics In Econometrics

Global and combinatorial optimization heuristics are widely used in different areas ranging from engineering to operational research. The;

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Introduction to Applied Optimization

; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete;

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Introduction to Applied Optimization

; Introduces applied optimization to the hazardous waste blending problem; Explores linear programming, nonlinear programming, discrete;

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An Introduction to Optimization

of Introduction to Optimization fills the need for accessible treatment of optimization theory and methods with an emphasis on engineering design. Basic;

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Stochastic Global Optimization

global optimization is applicable to any type of problems having non-differentiable functions, discrete variables and/or continuous variables. It;

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Intro Polynomial Semi Algebraic Optmiztn

This is the first comprehensive introduction to the powerful moment approach for solving global optimization problems (and some related;

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Bayesian and High-Dimensional Global Optimization

portion of this book is devoted to an analysis of high-dimensional global optimization problems and the so-called 'curse of dimensionality'. An;

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Foundations of Computational Intelligence 03

of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear;

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Global Optimization Using Interval Analysis

Employing a closed set-theoretic foundation for interval computations, Global Optimization Using Interval Analysis simplifies algorithm;

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Recent Advances in Global Optimization

This book will present the papers delivered at the first U.S. conference devoted exclusively to global optimization and will thus provide;

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An Introduction to Continuous Optimization: Foundations and Fundamental Algorithms, Third Edition

optimization problems. Starting with a brief Introduction, the text covers fundamentals, optimality conditions, linear programming, and;

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Simplicial Global Optimization

Simplicial Global Optimization is centered on deterministic covering methods partitioning feasible region by simplices. This book looks;

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The GLOBAL Optimization Algorithm

stochastic multistart global optimization algorithm that has passed several computational tests, and is efficient and reliable for small to medium;

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Global Optimization

This self-contained monograph presents a new stochastic approach to global optimization problems arising in a variety of disciplines;

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Algorithms for Optimization

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a;

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Introduction to Derivative-Free Optimization

intended to be of interest to researchers in the field. Introduction to Derivative-Free Optimization is the first contemporary comprehensive;

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Stochastic Global Optimization Methods and Applications to Chemical, Biochemical, Pharmaceutical and Environmental Processes

Stochastic global optimization methods and applications to chemical, biochemical, pharmaceutical and environmental processes presents;

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Optimization Models

science, economics, finance, and management, this is the perfect introduction to optimization for undergraduate and graduate students.;

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Introduction to Nature-Inspired Optimization

Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that;

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Optimization and Differentiation

Optimization and Differentiation is an introduction to the application of optimization control theory to systems described by nonlinear;

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Mathematical Optimization Terminology

Mathematical Optimization Terminology takes into account multi-objective method considering the problems related to optimization in case;

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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization;

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Introduction to Linear Organization and Extensions With MATLAB

, Introduction to Linear Optimization and Extensions with MATLAB (R) provides a concrete and intuitive yet rigorous introduction to modern linear;

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