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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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Optimization Models

Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook is an accessible introduction to;

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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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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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Algorithms for Optimization

comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where;

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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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Introduction to the Theory of Nonlinear Optimization

This book serves as an introductory text to optimization theory in normed spaces and covers all areas of nonlinear optimization. It;

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Introduction to the Theory of Nonlinear Optimization

This book serves as an introductory text to optimization theory in normed spaces and covers all areas of nonlinear optimization. It;

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Fundamentals of Optimization Techniques with Algorithms

book details program codes and computer-aided designs in relation to real-world problems. Ten chapters cover, an introduction to optimization;

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Introduction to Optimization Methods and their Application in Statistics

Optimization techniques are used to find the values of a set of parameters which maximize or minimize some objective function of interest;

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Nonlinear Combinatorial Optimization

this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization;

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Nonlinear Combinatorial Optimization

this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization;

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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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Engineering Optimization

An Application-Oriented Introduction to Essential Optimization Concepts and Best Practices Optimization is an inherent human tendency;

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A Brief Introduction to Continuous Evolutionary Optimization

with evolutionary algorithms in continuous solution spaces. The book gives an introduction to evolution strategies and parameter control;

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Combinatorial, Linear, Integer and Nonlinear Optimization Apps

This textbook provides an introduction to the use and understanding of optimization and modeling for upper-level undergraduate students;

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Computational Lithography

This is the first book to address the optimization of resolution enhancement techniques in optical lithography. It provides an in-depth;

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Genetic Algorithms in Electromagnetics

introduction to optimization and several commonly used numerical optimization routines, and goes on to feature:* Introductions to GA in both binary and;

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A Hands-On Introduction to Topology Optimization

Topology optimization is an exciting and powerful method for generating insightful, high-performance designs. The objectives of this text;

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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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Nature-Inspired Optimization Algorithms

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization;

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Introduction to Online Convex Optimization, second edition

comprehensive theoretical model and use classical algorithmic theory and/or mathematical optimization. Introduction to Online Convex Optimization;

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An Introduction to Optimization Techniques

An Introduction to Optimization Techniques introduces the basic ideas and techniques of optimization. Optimization is a precise procedure;

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Foundations of Mathematical Economics

of constraint qualification in constrained optimization, and an introduction to monotone comparative statics. These topics are developed by way of more;

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Partitional Clustering via Nonsmooth Optimization

challenges arising from big data. The book is ideal for anyone teaching or learning clustering algorithms. It provides an accessible introduction to;

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