Applied Optimization with MATLAB Programming

Applied Optimization with MATLAB Programming
Author :
Publisher : John Wiley & Sons
Total Pages : 546
Release :
ISBN-10 : 9780470084885
ISBN-13 : 047008488X
Rating : 4/5 (85 Downloads)

Book Synopsis Applied Optimization with MATLAB Programming by : P. Venkataraman

Download or read book Applied Optimization with MATLAB Programming written by P. Venkataraman and published by John Wiley & Sons. This book was released on 2009-03-23 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Applied Optimization with MATLAB Programming Related Books

Applied Optimization with MATLAB Programming
Language: en
Pages: 546
Authors: P. Venkataraman
Categories: Technology & Engineering
Type: BOOK - Published: 2009-03-23 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Technology/Engineering/Mechanical Provides all the tools needed to begin solving optimization problems using MATLAB® The Second Edition of Applied Optimization
Practical Optimization with MATLAB
Language: en
Pages: 291
Authors: Mircea Ancău
Categories: Mathematics
Type: BOOK - Published: 2019-10-03 - Publisher: Cambridge Scholars Publishing

DOWNLOAD EBOOK

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 o
Introduction to Applied Optimization
Language: en
Pages: 342
Authors: Urmila Diwekar
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools fr
Optimization in Practice with MATLAB
Language: en
Pages: 503
Authors: Achille Messac
Categories: Computers
Type: BOOK - Published: 2015-03-19 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.
Applied Dynamic Programming for Optimization of Dynamical Systems
Language: en
Pages: 278
Authors: Rush D. Robinett III
Categories: Mathematics
Type: BOOK - Published: 2005-01-01 - Publisher: SIAM

DOWNLOAD EBOOK

Based on the results of over 10 years of research and development by the authors, this book presents a broad cross section of dynamic programming (DP) technique