Druck auf Anfrage Neuware - Printed after ordering - This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied first. Focuses are made on the solutions of various types of optimization problems, including unconstrained and constrained optimizations, mixed integer, multiobjective and dynamic programming problems. Comparative studies and conclusions on intelligent global solvers are also provided.

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Bibliographic Details

Title: Solving Optimization Problems with MATLAB�
Publisher: De Gruyter, De Gruyter
Publication Date: 2020
Language: English
ISBN 10: 3110663643
ISBN 13: 9783110663648
Binding: Taschenbuch
Condition: Neu
Dimensions: 240 millimeters width by 170 millimeters height by 22 millimeters depth
Weight: 652 grams

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Synopsis

This book focuses on solving optimization problems with MATLAB. Descriptions and solutions of nonlinear equations of any form are studied first. Focuses are made on the solutions of various types of optimization problems, including unconstrained and constrained optimizations, mixed integer, multiobjective and dynamic programming problems. Comparative studies and conclusions on intelligent global solvers are also provided.

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Dingy� Xue, Northeastern University, Shenyang, China

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