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intended to be of interest to researchers in the field. Introduction to Derivative-Free Optimization is the first contemporary comprehensive;
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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 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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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 Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that;
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this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization;
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this book a useful reference which provides an introduction to applications and fundamental theories in nonlinear combinatorial optimization;
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This book provides a clear and comprehensive introduction to the subject of optimization methods. Optimal mix design for both ordinary and;
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, Introduction to Linear Optimization and Extensions with MATLAB (R) provides a concrete and intuitive yet rigorous introduction to modern linear;
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problems in other fields. To provide the reader with a smooth introduction to Riemannian optimization, brief reviews of mathematical;
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For students in industrial and systems engineering (ISE) and operations research (OR) to understand optimization at an advanced level, they;
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in the investigation of large systems. This book is an introduction to non-linear methods of optimization and is suitable for undergraduate and;
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The book highlights methods such as the steepest descent method, Newton method, conjugate direction ;...
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The classic introduction to engineering optimization theory and practice--now expanded and updated Engineering optimization helps engineers;
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This book offers an introduction to numerical optimization methods in structural design. Employing a readily accessible and compact format;
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corresponding high-performance computing (HPC) methods utilized in this domain. The authors provide a comprehensive introduction to fluid simulations;
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corresponding high-performance computing (HPC) methods utilized in this domain. The authors provide a comprehensive introduction to fluid simulations;
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in terms of optimization, as well as the ability to choose and apply the appropriate optimization technique.;
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This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary;
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Contains a new chapter on optimization methods in finance, a new section on Value at Risk and Conditional Value at Risk, plus much more.;
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Contains a new chapter on optimization methods in finance, a new section on Value at Risk and Conditional Value at Risk, plus much more.;
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Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization;
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This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of modern numerical;
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and conduct quality control procedures using the mathematical tools offered in this book. It presents an introduction to the control and;
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developed for experts in the field of optimization who want to deepen their understanding of the string selection problems. Researchers;
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Introduction to Optimum Design, Fourth Edition, carries on the tradition of the most widely used textbook in engineering optimization;
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