Matlab Optimization Techniques

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MATLAB Optimization Techniques

Cesar Lopez
MATLAB Optimization Techniques Book PDF

Author : Cesar Lopez
Publisher : Apress
Page : 284 pages
File Size : 47,7 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.

Applied Optimization with MATLAB Programming

P. Venkataraman
Applied Optimization with MATLAB Programming Book PDF

Author : P. Venkataraman
Publisher : John Wiley & Sons
Page : 546 pages
File Size : 45,6 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.

Practical Optimization with MATLAB

Mircea Ancău
Practical Optimization with MATLAB Book PDF

Author : Mircea Ancău
Publisher : Cambridge Scholars Publishing
Page : 291 pages
File Size : 46,7 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.

Optimization of Power System Problems

Mahmoud Pesaran Hajiabbas,Behnam Mohammadi-Ivatloo
Optimization of Power System Problems Book PDF

Author : Mahmoud Pesaran Hajiabbas,Behnam Mohammadi-Ivatloo
Publisher : Springer Nature
Page : 386 pages
File Size : 44,5 Mb
Release : 2020-01-06
Category : Technology & Engineering
ISBN : 9783030340506

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Optimization of Power System Problems by Mahmoud Pesaran Hajiabbas,Behnam Mohammadi-Ivatloo Pdf

This book presents integrated optimization methods and algorithms for power system problems along with their codes in MATLAB. Providing a reliable and secure power and energy system is one of the main challenges of the new era. Due to the nonlinear multi-objective nature of these problems, the traditional methods are not suitable approaches for solving large-scale power system operation dilemmas. The integration of optimization algorithms into power systems has been discussed in several textbooks, but this is the first to include the integration methods and the developed codes. As such, it is a useful resource for undergraduate and graduate students, researchers and engineers trying to solve power and energy optimization problems using modern technical and intelligent systems based on theory and application case studies. It is expected that readers have a basic mathematical background.

Optimization

Rajesh Kumar Arora
Optimization Book PDF

Author : Rajesh Kumar Arora
Publisher : CRC Press
Page : 454 pages
File Size : 46,7 Mb
Release : 2015-05-06
Category : Business & Economics
ISBN : 9781498721158

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Optimization by Rajesh Kumar Arora Pdf

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

Optimization in Practice with MATLAB

Achille Messac
Optimization in Practice with MATLAB Book PDF

Author : Achille Messac
Publisher : Cambridge University Press
Page : 503 pages
File Size : 51,8 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.

OPTIMIZATION FOR ENGINEERING DESIGN

KALYANMOY DEB
OPTIMIZATION FOR ENGINEERING DESIGN Book PDF

Author : KALYANMOY DEB
Publisher : PHI Learning Pvt. Ltd.
Page : 440 pages
File Size : 44,6 Mb
Release : 2012-11-18
Category : Business & Economics
ISBN : 9788120346789

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OPTIMIZATION FOR ENGINEERING DESIGN by KALYANMOY DEB Pdf

This well-received book, now in its second edition, continues to provide a number of optimization algorithms which are commonly used in computer-aided engineering design. The book begins with simple single-variable optimization techniques, and then goes on to give unconstrained and constrained optimization techniques in a step-by-step format so that they can be coded in any user-specific computer language. In addition to classical optimization methods, the book also discusses Genetic Algorithms and Simulated Annealing, which are widely used in engineering design problems because of their ability to find global optimum solutions. The second edition adds several new topics of optimization such as design and manufacturing, data fitting and regression, inverse problems, scheduling and routing, data mining, intelligent system design, Lagrangian duality theory, and quadratic programming and its extension to sequential quadratic programming. It also extensively revises the linear programming algorithms section in the Appendix. This edition also includes more number of exercise problems. The book is suitable for senior undergraduate/postgraduate students of mechanical, production and chemical engineering. Students in other branches of engineering offering optimization courses as well as designers and decision-makers will also find the book useful. Key Features Algorithms are presented in a step-by-step format to facilitate coding in a computer language. Sample computer programs in FORTRAN are appended for better comprehension. Worked-out examples are illustrated for easy understanding. The same example problems are solved with most algorithms for a comparative evaluation of the algorithms.

Numerical Methods and Optimization in Finance

Manfred Gilli,Dietmar Maringer,Enrico Schumann
Numerical Methods and Optimization in Finance Book PDF

Author : Manfred Gilli,Dietmar Maringer,Enrico Schumann
Publisher : Academic Press
Page : 638 pages
File Size : 44,6 Mb
Release : 2019-08-30
Category : Electronic
ISBN : 9780128150658

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Numerical Methods and Optimization in Finance by Manfred Gilli,Dietmar Maringer,Enrico Schumann Pdf

Computationally-intensive tools play an increasingly important role in financial decisions. Many financial problems-ranging from asset allocation to risk management and from option pricing to model calibration-can be efficiently handled using modern computational techniques. Numerical Methods and Optimization in Finance presents such computational techniques, with an emphasis on simulation and optimization, particularly so-called heuristics. This book treats quantitative analysis as an essentially computational discipline in which applications are put into software form and tested empirically. This revised edition includes two new chapters, a self-contained tutorial on implementing and using heuristics, and an explanation of software used for testing portfolio-selection models. Postgraduate students, researchers in programs on quantitative and computational finance, and practitioners in banks and other financial companies can benefit from this second edition of Numerical Methods and Optimization in Finance. Introduces numerical methods to readers with economics backgrounds Emphasizes core simulation and optimization problems Includes MATLAB and R code for all applications, with sample code in the text and freely available for download

Fundamentals of Optimization Techniques with Algorithms

Sukanta Nayak
Fundamentals of Optimization Techniques with Algorithms Book PDF

Author : Sukanta Nayak
Publisher : Academic Press
Page : 323 pages
File Size : 54,9 Mb
Release : 2020-08-25
Category : Technology & Engineering
ISBN : 9780128224922

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Fundamentals of Optimization Techniques with Algorithms by Sukanta Nayak Pdf

Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB© code optimization techniques, for linear and nonlinear single variable and multivariable models, as well as multi-objective and advanced optimization techniques. It presents both theoretical and numerical perspectives in a clear and approachable way. In order to help the reader apply optimization techniques in practice, the book details program codes and computer-aided designs in relation to real-world problems. Ten chapters cover, an introduction to optimization; linear programming; single variable nonlinear optimization; multivariable unconstrained nonlinear optimization; multivariable constrained nonlinear optimization; geometric programming; dynamic programming; integer programming; multi-objective optimization; and nature-inspired optimization. This book provides accessible coverage of optimization techniques, and helps the reader to apply them in practice. Presents optimization techniques clearly, including worked-out examples, from traditional to advanced Maps out the relations between optimization and other mathematical topics and disciplines Provides systematic coverage of algorithms to facilitate computer coding Gives MATLAB© codes in relation to optimization techniques and their use in computer-aided design Presents nature-inspired optimization techniques including genetic algorithms and artificial neural networks

Advanced Optimization and Decision-Making Techniques in Textile Manufacturing

Anindya Ghosh,Prithwiraj Mal,Abhijit Majumdar
Advanced Optimization and Decision Making Techniques in Textile Manufacturing Book PDF

Author : Anindya Ghosh,Prithwiraj Mal,Abhijit Majumdar
Publisher : CRC Press
Page : 302 pages
File Size : 49,7 Mb
Release : 2019-03-18
Category : Technology & Engineering
ISBN : 9780429996832

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Advanced Optimization and Decision-Making Techniques in Textile Manufacturing by Anindya Ghosh,Prithwiraj Mal,Abhijit Majumdar Pdf

Optimization and decision making are integral parts of any manufacturing process and management system. The objective of this book is to demonstrate the confluence of theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management. Divided into twelve chapters, it discusses various multi-criteria decision-making methods such as AHP, TOPSIS, ELECTRE, and optimization techniques like linear programming, fuzzy linear programming, quadratic programming, in textile domain. Multi-objective optimization problems have been dealt with two approaches, namely desirability function and evolutionary algorithm. Key Features Exclusive title covering textiles and soft computing fields including optimization and decision making Discusses concepts of traditional and non-traditional optimization methods with textile examples Explores pertinent single-objective and multi-objective optimizations Provides MATLAB coding in the Appendix to solve various types of multi-criteria decision making and optimization problems Includes examples and case studies related to textile engineering and management

Optimization in Chemical Engineering

Suman Dutta
Optimization in Chemical Engineering Book PDF

Author : Suman Dutta
Publisher : Cambridge University Press
Page : 384 pages
File Size : 50,9 Mb
Release : 2016-03-11
Category : Technology & Engineering
ISBN : 9781316691793

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Optimization in Chemical Engineering by Suman Dutta Pdf

Optimization is used to determine the most appropriate value of variables under given conditions. The primary focus of using optimisation techniques is to measure the maximum or minimum value of a function depending on the circumstances. This book discusses problem formulation and problem solving with the help of algorithms such as secant method, quasi-Newton method, linear programming and dynamic programming. It also explains important chemical processes such as fluid flow systems, heat exchangers, chemical reactors and distillation systems using solved examples. The book begins by explaining the fundamental concepts followed by an elucidation of various modern techniques including trust-region methods, Levenberg–Marquardt algorithms, stochastic optimization, simulated annealing and statistical optimization. It studies the multi-objective optimization technique and its applications in chemical engineering and also discusses the theory and applications of various optimization software tools including LINGO, MATLAB, MINITAB and GAMS.

Introduction to Linear Optimization and Extensions with MATLAB

Roy H. Kwon
Introduction to Linear Optimization and Extensions with MATLAB Book PDF

Author : Roy H. Kwon
Publisher : CRC Press
Page : 356 pages
File Size : 44,6 Mb
Release : 2013-09-05
Category : Business & Economics
ISBN : 9781482204346

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Introduction to Linear Optimization and Extensions with MATLAB by Roy H. Kwon Pdf

Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics, the book discusses current l

Nonlinear Optimization in Electrical Engineering with Applications in MATLAB®

Mohamed Bakr
Nonlinear Optimization in Electrical Engineering with Applications in MATLAB Book PDF

Author : Mohamed Bakr
Publisher : IET
Page : 325 pages
File Size : 49,6 Mb
Release : 2013-09-09
Category : Computers
ISBN : 9781849195430

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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB® by Mohamed Bakr Pdf

Nonlinear Optimization in Electrical Engineering with Applications in MATLAB® provides an introductory course on nonlinear optimization in electrical engineering, with a focus on applications such as the design of electric, microwave, and photonic circuits, wireless communications, and digital filter design.

Design Optimization using MATLAB and SOLIDWORKS

Krishnan Suresh
Design Optimization using MATLAB and SOLIDWORKS Book PDF

Author : Krishnan Suresh
Publisher : Cambridge University Press
Page : 395 pages
File Size : 47,7 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.

Accelerating MATLAB Performance

Yair M. Altman
Accelerating MATLAB Performance Book PDF

Author : Yair M. Altman
Publisher : CRC Press
Page : 785 pages
File Size : 43,8 Mb
Release : 2014-12-11
Category : Computers
ISBN : 9781482211306

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Accelerating MATLAB Performance by Yair M. Altman Pdf

The MATLAB® programming environment is often perceived as a platform suitable for prototyping and modeling but not for "serious" applications. One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with thousands of helpful tips, it leaves no stone unturned, discussing every aspect of MATLAB. Ideal for novices and professionals alike, the book describes MATLAB performance in a scale and depth never before published. It takes a comprehensive approach to MATLAB performance, illustrating numerous ways to attain the desired speedup. The book covers MATLAB, CPU, and memory profiling and discusses various tradeoffs in performance tuning. It describes both the application of standard industry techniques in MATLAB, as well as methods that are specific to MATLAB such as using different data types or built-in functions. The book covers MATLAB vectorization, parallelization (implicit and explicit), optimization, memory management, chunking, and caching. It explains MATLAB’s memory model and details how it can be leveraged. It describes the use of GPU, MEX, FPGA, and other forms of compiled code, as well as techniques for speeding up deployed applications. It details specific tips for MATLAB GUI, graphics, and I/O. It also reviews a wide variety of utilities, libraries, and toolboxes that can help to improve performance. Sufficient information is provided to allow readers to immediately apply the suggestions to their own MATLAB programs. Extensive references are also included to allow those who wish to expand the treatment of a particular topic to do so easily. Supported by an active website, and numerous code examples, the book will help readers rapidly attain significant reductions in development costs and program run times.