Solving Optimization Problems With Matlabr PDF Download
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Author | : Dingyü Xue |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 268 |
Release | : 2020-04-06 |
Genre | : Computers |
ISBN | : 3110663694 |
Download Solving Optimization Problems with MATLAB® Book 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.
Author | : Dingyü Xue |
Publisher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 342 |
Release | : 2020-04-06 |
Genre | : Computers |
ISBN | : 3110667010 |
Download Solving Optimization Problems with MATLAB® Book 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.
Author | : Dingyu Xue |
Publisher | : de Gruyter |
Total Pages | : 10 |
Release | : 2020-05-30 |
Genre | : |
ISBN | : 9783110663648 |
Download Solving Optimization Problems with MATLAB Book 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.
Author | : Mircea Ancău |
Publisher | : Cambridge Scholars Publishing |
Total Pages | : 291 |
Release | : 2019-10-03 |
Genre | : Mathematics |
ISBN | : 1527540987 |
Download Practical Optimization with MATLAB Book 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.
Author | : P. Venkataraman |
Publisher | : John Wiley & Sons |
Total Pages | : 546 |
Release | : 2009-03-23 |
Genre | : Technology & Engineering |
ISBN | : 047008488X |
Download Applied Optimization with MATLAB Programming Book 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.
Author | : Rajesh Kumar Arora |
Publisher | : CRC Press |
Total Pages | : 454 |
Release | : 2015-05-06 |
Genre | : Business & Economics |
ISBN | : 149872115X |
Download Optimization Book 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
Author | : Cesar Lopez |
Publisher | : Apress |
Total Pages | : 284 |
Release | : 2014-11-12 |
Genre | : Computers |
ISBN | : 1484202929 |
Download MATLAB Optimization Techniques Book in PDF, ePub and Kindle
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.
Author | : E. Clapton |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 292 |
Release | : 2016-11-12 |
Genre | : |
ISBN | : 9781540349972 |
Download Advanced Optimization Techniques and Examples with MATLAB Book in PDF, ePub and Kindle
MATLAB Optimization Toolbox provides widely used algorithms for and large-scale optimization. These algorithms solve constrained and unconstrained continuous and discrete problems. The toolbox, developed in this book, includes functions for linear programming, quadratic programming, binary integer programming, nonlinear optimization, nonlinear least squares, systems of nonlinear equations, and multiobjective optimization. You can use them to find optimal solutions, perform tradeoff analyses, balance multiple design alternatives, and incorporate optimization methods into algorithms and models.The more important features are the next:* Interactive tools for defining and solving optimization problems and monitoring solution progress* Solvers for nonlinear and multiobjective optimization * Solvers for nonlinear least squares, data fitting, and nonlinear equations* Methods for solving quadratic and linear programming problems * Methods for solving binary integer programming problems* Parallel computing support in selected constrained nonlinear solvers
Author | : Mahmoud Pesaran Hajiabbas |
Publisher | : Springer Nature |
Total Pages | : 386 |
Release | : 2020-01-06 |
Genre | : Technology & Engineering |
ISBN | : 3030340503 |
Download Optimization of Power System Problems Book in PDF, ePub and Kindle
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.
Author | : Suman Dutta |
Publisher | : Cambridge University Press |
Total Pages | : 384 |
Release | : 2016-03-11 |
Genre | : Technology & Engineering |
ISBN | : 1316691799 |
Download Optimization in Chemical Engineering Book in PDF, ePub and Kindle
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.