Applied Optimization with MATLAB Programming

Applied Optimization with MATLAB Programming
Title Applied Optimization with MATLAB Programming PDF eBook
Author P. Venkataraman
Publisher John Wiley & Sons
Pages 546
Release 2009-03-23
Genre Technology & Engineering
ISBN 047008488X

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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.

Practical Optimization with MATLAB

Practical Optimization with MATLAB
Title Practical Optimization with MATLAB PDF eBook
Author Mircea Ancău
Publisher Cambridge Scholars Publishing
Pages 291
Release 2019-10-03
Genre Mathematics
ISBN 1527540987

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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.

Introduction to Applied Optimization

Introduction to Applied Optimization
Title Introduction to Applied Optimization PDF eBook
Author Urmila Diwekar
Publisher Springer Science & Business Media
Pages 342
Release 2013-03-09
Genre Mathematics
ISBN 1475737459

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This text presents a multi-disciplined view of optimization, providing students and researchers with a thorough examination of algorithms, methods, and tools from diverse areas of optimization without introducing excessive theoretical detail. This second edition includes additional topics, including global optimization and a real-world case study using important concepts from each chapter. Introduction to Applied Optimization is intended for advanced undergraduate and graduate students and will benefit scientists from diverse areas, including engineers.

Optimization in Practice with MATLAB

Optimization in Practice with MATLAB
Title Optimization in Practice with MATLAB PDF eBook
Author Achille Messac
Publisher Cambridge University Press
Pages 503
Release 2015-03-19
Genre Computers
ISBN 1107109183

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This textbook is designed for students and industry practitioners for a first course in optimization integrating MATLAB® software.

MATLAB Optimization Techniques

MATLAB Optimization Techniques
Title MATLAB Optimization Techniques PDF eBook
Author Cesar Lopez
Publisher Apress
Pages 284
Release 2014-11-12
Genre Computers
ISBN 1484202929

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MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java. MATLAB Optimization Techniques introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. It begins by introducing the MATLAB environment and the structure of MATLAB programming before moving on to the mathematics of optimization. The central part of the book is dedicated to MATLAB’s Optimization Toolbox, which implements state-of-the-art algorithms for solving multiobjective problems, non-linear minimization with boundary conditions and restrictions, minimax optimization, semi-infinitely constrained minimization and linear and quadratic programming. A wide range of exercises and examples are included, illustrating the most widely used optimization methods.

Applied Dynamic Programming for Optimization of Dynamical Systems

Applied Dynamic Programming for Optimization of Dynamical Systems
Title Applied Dynamic Programming for Optimization of Dynamical Systems PDF eBook
Author Rush D. Robinett III
Publisher SIAM
Pages 278
Release 2005-01-01
Genre Mathematics
ISBN 9780898718676

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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) techniques applied to the optimization of dynamical systems. The main goal of the research effort was to develop a robust path planning/trajectory optimization tool that did not require an initial guess. The goal was partially met with a combination of DP and homotopy algorithms. DP algorithms are presented here with a theoretical development, and their successful application to variety of practical engineering problems is emphasized.

Linear Programming with MATLAB

Linear Programming with MATLAB
Title Linear Programming with MATLAB PDF eBook
Author Michael C. Ferris
Publisher SIAM
Pages 270
Release 2007-01-01
Genre Mathematics
ISBN 0898716438

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A self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required.