Solving Optimization Problems with MATLAB®

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Release : 2020-04-06
Genre : Computers
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Book Rating : 694/5 ( reviews)

Solving Optimization Problems with MATLAB® - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Solving Optimization Problems with MATLAB® write by Dingyü Xue. This book was released on 2020-04-06. Solving Optimization Problems with MATLAB® available in PDF, EPUB and Kindle. The book focused on solving equations and optimization problems with MATLAB. The topics on unconstrained optimization, linear and quadratic programming, nonlinear constrained optimization problems, mixed integer programming, multi-objective programming, dynamic programming and intelligent optimization methods are covered. With extensive exercises, the book sets up a new viewpoint for the readers in understanding linear algebra problems.

Solving Optimization Problems with MATLAB®

Download Solving Optimization Problems with MATLAB® PDF Online Free

Author :
Release : 2020-04-06
Genre : Computers
Kind :
Book Rating : 010/5 ( reviews)

Solving Optimization Problems with MATLAB® - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Solving Optimization Problems with MATLAB® write by Dingyü Xue. This book was released on 2020-04-06. Solving Optimization Problems with MATLAB® available in PDF, EPUB and Kindle. 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.

Applied Optimization with MATLAB Programming

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Release : 2009-03-23
Genre : Technology & Engineering
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Book Rating : 88X/5 ( reviews)

Applied Optimization with MATLAB Programming - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applied Optimization with MATLAB Programming write by P. Venkataraman. This book was released on 2009-03-23. Applied Optimization with MATLAB Programming available in PDF, EPUB and Kindle. Technology/Engineering/Mechanical Provides all the tools needed to begin solving optimization problems using MATLAB® The Second Edition of Applied Optimization with MATLAB® Programming enables readers to harness all the features of MATLAB® to solve optimization problems using a variety of linear and nonlinear design optimization techniques. By breaking down complex mathematical concepts into simple ideas and offering plenty of easy-to-follow examples, this text is an ideal introduction to the field. Examples come from all engineering disciplines as well as science, economics, operations research, and mathematics, helping readers understand how to apply optimization techniques to solve actual problems. This Second Edition has been thoroughly revised, incorporating current optimization techniques as well as the improved MATLAB® tools. Two important new features of the text are: Introduction to the scan and zoom method, providing a simple, effective technique that works for unconstrained, constrained, and global optimization problems New chapter, Hybrid Mathematics: An Application, using examples to illustrate how optimization can develop analytical or explicit solutions to differential systems and data-fitting problems Each chapter ends with a set of problems that give readers an opportunity to put their new skills into practice. Almost all of the numerical techniques covered in the text are supported by MATLAB® code, which readers can download on the text's companion Web site www.wiley.com/go/venkat2e and use to begin solving problems on their own. This text is recommended for upper-level undergraduate and graduate students in all areas of engineering as well as other disciplines that use optimization techniques to solve design problems.

Optimization

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Release : 2015-05-06
Genre : Business & Economics
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Book Rating : 15X/5 ( reviews)

Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Optimization write by Rajesh Kumar Arora. This book was released on 2015-05-06. Optimization available in PDF, EPUB and Kindle. Choose the Correct Solution Method for Your Optimization ProblemOptimization: Algorithms and Applications presents a variety of solution techniques for optimization problems, emphasizing concepts rather than rigorous mathematical details and proofs. The book covers both gradient and stochastic methods as solution techniques for unconstrained and co

Practical Optimization with MATLAB

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Release : 2019-10-03
Genre : Mathematics
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Book Rating : 987/5 ( reviews)

Practical Optimization with MATLAB - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Practical Optimization with MATLAB write by Mircea Ancău. This book was released on 2019-10-03. Practical Optimization with MATLAB available in PDF, EPUB and Kindle. This easy-to-follow guide provides academics and industrial engineers with a state-of-the-art numerical approach to the most frequent technical and economical optimization methods. In an engaging manner, it provides the reader with not only a systematic and comprehensive study, but also with necessary and directly implementable code written in the versatile and readily available platform Matlab. The book offers optimization methods for univariate and multivariate constrained or unconstrained functions, general optimization methods and multicriteria optimization methods; provides intuitively, step-by-step explained sample Matlab code, that can be easily adjusted to meet individual requirements; and uses a clear, concise presentation style, which will be suited to readers even without a programming background, as well as to students preparing for examinations in optimization methods.