Practical Optimization With Matlab

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Practical Optimization with MATLAB

Author : Mircea Ancău
Publisher : Cambridge Scholars Publishing
Page : 291 pages
File Size : 50,8 Mb
Release : 2019-10-03
Category : Mathematics
ISBN : 9781527540989

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Practical Optimization with MATLAB by Mircea Ancău Pdf

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.

A Practical Approach to Metaheuristics using LabVIEW and MATLAB®

Author : Pedro Ponce-Cruz,Arturo Molina Gutiérrez,Ricardo A. Ramírez-Mendoza,Efraín Méndez Flores,Alexandro Antonio Ortiz Espinoza,David Christopher Balderas Silva
Publisher : CRC Press
Page : 160 pages
File Size : 46,9 Mb
Release : 2020-06-08
Category : Computers
ISBN : 9781000073430

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A Practical Approach to Metaheuristics using LabVIEW and MATLAB® by Pedro Ponce-Cruz,Arturo Molina Gutiérrez,Ricardo A. Ramírez-Mendoza,Efraín Méndez Flores,Alexandro Antonio Ortiz Espinoza,David Christopher Balderas Silva Pdf

Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, when those algorithms are implemented, there are not enough books that deal with theoretical and experimental problems in a friendly manner so this book presents a novel structure that includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. This book also has several practical exercises and a toolbox for MATLAB® and a toolkit for LabVIEW are integrated as complementary material for this book. These toolkits allow readers to move from a simulation environment to an experimentation one very fast. This book is suitable for researchers, students, and professionals in several areas, such as economics, architecture, computer science, electrical engineering, and control systems. The unique features of this book are as follows: Developed for researchers, undergraduate and graduate students, and practitioners A friendly description of the main metaheuristic optimization algorithms Theoretical and practical optimization examples A new earthquake optimization algorithm Updated state-of-the-art and research optimization projects The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.

Optimization in Practice with MATLAB

Author : Achille Messac
Publisher : Cambridge University Press
Page : 503 pages
File Size : 40,5 Mb
Release : 2015-03-19
Category : Mathematics
ISBN : 9781107109186

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Optimization in Practice with MATLAB by Achille Messac Pdf

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

MATLAB Optimization Techniques

Author : Cesar Lopez
Publisher : Apress
Page : 284 pages
File Size : 53,8 Mb
Release : 2014-11-12
Category : Computers
ISBN : 9781484202920

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MATLAB Optimization Techniques by Cesar Lopez Pdf

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.

Practical Optimization

Author : Andreas Antoniou,Wu-Sheng Lu
Publisher : Springer Science & Business Media
Page : 675 pages
File Size : 44,8 Mb
Release : 2007-03-12
Category : Computers
ISBN : 9780387711065

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Practical Optimization by Andreas Antoniou,Wu-Sheng Lu Pdf

Practical Optimization: Algorithms and Engineering Applications is a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester’s worth of complementary yet stand-alone material. The practical orientation of the topics chosen and a wealth of useful examples also make the book suitable for practitioners in the field.

Applied Optimization with MATLAB Programming

Author : P. Venkataraman
Publisher : John Wiley & Sons
Page : 546 pages
File Size : 55,7 Mb
Release : 2009-03-23
Category : Technology & Engineering
ISBN : 9780470084885

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Applied Optimization with MATLAB Programming by P. Venkataraman Pdf

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.

Introduction to Nature-Inspired Optimization

Author : George Lindfield,John Penny
Publisher : Academic Press
Page : 256 pages
File Size : 53,8 Mb
Release : 2017-08-10
Category : Mathematics
ISBN : 9780128036662

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Introduction to Nature-Inspired Optimization by George Lindfield,John Penny Pdf

Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work. Nature-inspired algorithms emulate processes that are found in the natural world, spurring interest for optimization. Lindfield/Penny provide concise coverage to all the major algorithms, including genetic algorithms, artificial bee colony algorithms, ant colony optimization and the cuckoo search algorithm, among others. This book provides a quick reference to practicing engineers, researchers and graduate students who work in the field of optimization. Applies concepts in nature and biology to develop new algorithms for nonlinear optimization Offers working MATLAB® programs for the major algorithms described, applying them to a range of problems Provides useful comparative studies of the algorithms, highlighting their strengths and weaknesses Discusses the current state-of-the-field and indicates possible areas of future development

Practical Optimization

Author : Philip E. Gill,Walter Murray,Margaret H. Wright
Publisher : SIAM
Page : 421 pages
File Size : 44,9 Mb
Release : 2019-12-16
Category : Mathematics
ISBN : 9781611975604

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Practical Optimization by Philip E. Gill,Walter Murray,Margaret H. Wright Pdf

In the intervening years since this book was published in 1981, the field of optimization has been exceptionally lively. This fertility has involved not only progress in theory, but also faster numerical algorithms and extensions into unexpected or previously unknown areas such as semidefinite programming. Despite these changes, many of the important principles and much of the intuition can be found in this Classics version of Practical Optimization. This book provides model algorithms and pseudocode, useful tools for users who prefer to write their own code as well as for those who want to understand externally provided code. It presents algorithms in a step-by-step format, revealing the overall structure of the underlying procedures and thereby allowing a high-level perspective on the fundamental differences. And it contains a wealth of techniques and strategies that are well suited for optimization in the twenty-first century, and particularly in the now-flourishing fields of data science, “big data,” and machine learning. Practical Optimization is appropriate for advanced undergraduates, graduate students, and researchers interested in methods for solving optimization problems.

Practical Numerical and Scientific Computing with MATLAB® and Python

Author : Eihab B. M. Bashier
Publisher : CRC Press
Page : 330 pages
File Size : 50,5 Mb
Release : 2020-03-18
Category : Computers
ISBN : 9780429666827

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Practical Numerical and Scientific Computing with MATLAB® and Python by Eihab B. M. Bashier Pdf

Practical Numerical and Scientific Computing with MATLAB® and Python concentrates on the practical aspects of numerical analysis and linear and non-linear programming. It discusses the methods for solving different types of mathematical problems using MATLAB and Python. Although the book focuses on the approximation problem rather than on error analysis of mathematical problems, it provides practical ways to calculate errors. The book is divided into three parts, covering topics in numerical linear algebra, methods of interpolation, numerical differentiation and integration, solutions of differential equations, linear and non-linear programming problems, and optimal control problems. This book has the following advantages: It adopts the programming languages, MATLAB and Python, which are widely used among academics, scientists, and engineers, for ease of use and contain many libraries covering many scientific and engineering fields. It contains topics that are rarely found in other numerical analysis books, such as ill-conditioned linear systems and methods of regularization to stabilize their solutions, nonstandard finite differences methods for solutions of ordinary differential equations, and the computations of the optimal controls. It provides a practical explanation of how to apply these topics using MATLAB and Python. It discusses software libraries to solve mathematical problems, such as software Gekko, pulp, and pyomo. These libraries use Python for solutions to differential equations and static and dynamic optimization problems. Most programs in the book can be applied in versions prior to MATLAB 2017b and Python 3.7.4 without the need to modify these programs. This book is aimed at newcomers and middle-level students, as well as members of the scientific community who are interested in solving math problems using MATLAB or Python.

Design Optimization using MATLAB and SOLIDWORKS

Author : Krishnan Suresh
Publisher : Cambridge University Press
Page : 395 pages
File Size : 52,6 Mb
Release : 2021-04-29
Category : Computers
ISBN : 9781108491600

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Design Optimization using MATLAB and SOLIDWORKS by Krishnan Suresh Pdf

A hands-on text integrating mathematics, numerics and applications of optimization, with MATLAB code illustrating every concept.

Linear Programming with MATLAB

Author : Michael C. Ferris,Olvi L. Mangasarian,Stephen J. Wright
Publisher : SIAM
Page : 270 pages
File Size : 43,5 Mb
Release : 2007-01-01
Category : Mathematics
ISBN : 9780898716436

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Linear Programming with MATLAB by Michael C. Ferris,Olvi L. Mangasarian,Stephen J. Wright Pdf

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.

Applied Dynamic Programming for Optimization of Dynamical Systems

Author : Rush D. Robinett III,David G. Wilson,G. Richard Eisler,John E. Hurtado
Publisher : SIAM
Page : 278 pages
File Size : 45,8 Mb
Release : 2005-01-01
Category : Mathematics
ISBN : 0898718678

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Applied Dynamic Programming for Optimization of Dynamical Systems by Rush D. Robinett III,David G. Wilson,G. Richard Eisler,John E. Hurtado Pdf

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.

Design and Optimization of Thermal Systems

Author : Yogesh Jaluria
Publisher : CRC Press
Page : 753 pages
File Size : 43,5 Mb
Release : 2007-12-13
Category : Science
ISBN : 9781420019483

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Design and Optimization of Thermal Systems by Yogesh Jaluria Pdf

Thermal systems play an increasingly symbiotic role alongside mechanical systems in varied applications spanning materials processing, energy conversion, pollution, aerospace, and automobiles. Responding to the need for a flexible, yet systematic approach to designing thermal systems across such diverse fields, Design and Optimization of Thermal

Computational Finance

Author : Francesco Cesarone
Publisher : Routledge
Page : 284 pages
File Size : 54,9 Mb
Release : 2020-06-11
Category : Business & Economics
ISBN : 9781000169034

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Computational Finance by Francesco Cesarone Pdf

Computational finance is increasingly important in the financial industry, as a necessary instrument for applying theoretical models to real-world challenges. Indeed, many models used in practice involve complex mathematical problems, for which an exact or a closed-form solution is not available. Consequently, we need to rely on computational techniques and specific numerical algorithms. This book combines theoretical concepts with practical implementation. Furthermore, the numerical solution of models is exploited, both to enhance the understanding of some mathematical and statistical notions, and to acquire sound programming skills in MATLAB®, which is useful for several other programming languages also. The material assumes the reader has a relatively limited knowledge of mathematics, probability, and statistics. Hence, the book contains a short description of the fundamental tools needed to address the two main fields of quantitative finance: portfolio selection and derivatives pricing. Both fields are developed here, with a particular emphasis on portfolio selection, where the author includes an overview of recent approaches. The book gradually takes the reader from a basic to medium level of expertise by using examples and exercises to simplify the understanding of complex models in finance, giving them the ability to place financial models in a computational setting. The book is ideal for courses focusing on quantitative finance, asset management, mathematical methods for economics and finance, investment banking, and corporate finance.

Metaheuristics: Outlines, MATLAB Codes and Examples

Author : Ali Kaveh,Taha Bakhshpoori
Publisher : Springer
Page : 190 pages
File Size : 47,5 Mb
Release : 2019-03-29
Category : Technology & Engineering
ISBN : 9783030040673

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Metaheuristics: Outlines, MATLAB Codes and Examples by Ali Kaveh,Taha Bakhshpoori Pdf

The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics. The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics.