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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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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 Methods of Game and Economic Theory

of optimization theory. The treatment includes results on the existence and stability of solutions to optimization problems as well as an introduction to;

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Nonlinear and Mixed-Integer Optimization

synthesis in chemical engineering. The reader is acquainted with the basics of convex analysis and nonlinear optimization and is introduced to the;

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Fixed Point Theory, Variational Analysis, and Optimization

, Variational Analysis, and Optimization is a beneficial resource for the research and study of nonlinear analysis, optimization theory, variational;

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Nonlinear Interval Optimization for Uncertain Problems

efficiency caused by double-layer nested optimization. Further, the book extends the nonlinear interval optimization theory to design problems;

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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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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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Nonlinear Optimization

of the modern theory and methods of nonlinear optimization and to analyze new problems, develop optimality theory for them, and choose or;

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Nonlinear Dynamics and Statistics

, probability, optimization, and systems theory will find the book a useful resource and guide to current developments in the subject.;

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Fundamentals of Optimization Techniques with Algorithms

Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system;

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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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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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Nonlinear Multiobjective Optimization

, up-to-date, self-contained and consistent survey, review of the literature and of the state of the art on nonlinear (deterministic;

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Linear and Nonlinear Optimization

Department, UC Berkeley A carefully crafted introduction to the main elements and applications of mathematical optimization. This volume presents;

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Minisum Hyperspheres

This book presents a self-contained introduction to the theory of minisum hyperspheres. This specialized research area within the larger;

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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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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technolog

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Continuous Nonlinear Optimization for Engineering Applications in GAMS Technology

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization;

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Nonlinear Optimization

This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods;

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Nonlinear Optimization

This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods;

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Discrete Convex Analysis

) and combinatorial optimization (matroid/submodular function theory) to establish a unified theoretical framework for nonlinear discrete;

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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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Linear and Nonlinear Programming

is organized into three separate parts. Part I offers a self-contained introduction to linear programming. The presentation in this part is fairly;

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Nonlinear Programming

objective function and/or the nonlinearity of any constraints. The Third Edition begins with a general introduction to nonlinear programming with;

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