Linear Programming With Matlab
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Author |
: Michael C. Ferris |
Publisher |
: SIAM |
Total Pages |
: 270 |
Release |
: 2007-01-01 |
ISBN-10 |
: 9780898716436 |
ISBN-13 |
: 0898716438 |
Rating |
: 4/5 (36 Downloads) |
Synopsis Linear Programming with MATLAB by : Michael C. Ferris
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.
Author |
: Nikolaos Ploskas |
Publisher |
: Springer |
Total Pages |
: 646 |
Release |
: 2017-10-28 |
ISBN-10 |
: 9783319659190 |
ISBN-13 |
: 3319659197 |
Rating |
: 4/5 (90 Downloads) |
Synopsis Linear Programming Using MATLAB® by : Nikolaos Ploskas
This book offers a theoretical and computational presentation of a variety of linear programming algorithms and methods with an emphasis on the revised simplex method and its components. A theoretical background and mathematical formulation is included for each algorithm as well as comprehensive numerical examples and corresponding MATLAB® code. The MATLAB® implementations presented in this book are sophisticated and allow users to find solutions to large-scale benchmark linear programs. Each algorithm is followed by a computational study on benchmark problems that analyze the computational behavior of the presented algorithms. As a solid companion to existing algorithmic-specific literature, this book will be useful to researchers, scientists, mathematical programmers, and students with a basic knowledge of linear algebra and calculus. The clear presentation enables the reader to understand and utilize all components of simplex-type methods, such as presolve techniques, scaling techniques, pivoting rules, basis update methods, and sensitivity analysis.
Author |
: Shashi Kant Mishra |
Publisher |
: CRC Press |
Total Pages |
: 313 |
Release |
: 2017-09-07 |
ISBN-10 |
: 9781351596800 |
ISBN-13 |
: 1351596802 |
Rating |
: 4/5 (00 Downloads) |
Synopsis Introduction to Linear Programming with MATLAB by : Shashi Kant Mishra
This book is based on the lecture notes of the author delivered to the students at the Institute of Science, Banaras Hindu University, India. It covers simplex, revised simplex, two-phase method, duality, dual simplex, complementary slackness, transportation and assignment problems with good number of examples, clear proofs, MATLAB codes and homework problems. The book will be useful for both students and practitioners.
Author |
: Michael C. Ferris |
Publisher |
: SIAM |
Total Pages |
: 277 |
Release |
: 2007-01-01 |
ISBN-10 |
: 0898718775 |
ISBN-13 |
: 9780898718775 |
Rating |
: 4/5 (75 Downloads) |
Synopsis Linear Programming with MATLAB by : Michael C. Ferris
This textbook provides a self-contained introduction to linear programming using MATLAB software to elucidate the development of algorithms and theory. Early chapters cover linear algebra basics, the simplex method, duality, the solving of large linear problems, sensitivity analysis, and parametric linear programming. In later chapters, the authors discuss quadratic programming, linear complementarity, interior-point methods, and selected applications of linear programming to approximation and classification problems. Exercises are interwoven with the theory presented in each chapter, and two appendices provide additional information on linear algebra, convexity, nonlinear functions, and on available MATLAB commands, respectively. Readers can access MATLAB codes and associated mex files at a Web site maintained by the authors. Only a basic knowledge of linear algebra and calculus is required to understand this textbook, which is geared toward junior and senior-level undergraduate students, first-year graduate students, and researchers unfamiliar with linear programming.
Author |
: Jon Lee |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 687 |
Release |
: 2011-12-02 |
ISBN-10 |
: 9781461419273 |
ISBN-13 |
: 1461419271 |
Rating |
: 4/5 (73 Downloads) |
Synopsis Mixed Integer Nonlinear Programming by : Jon Lee
Many engineering, operations, and scientific applications include a mixture of discrete and continuous decision variables and nonlinear relationships involving the decision variables that have a pronounced effect on the set of feasible and optimal solutions. Mixed-integer nonlinear programming (MINLP) problems combine the numerical difficulties of handling nonlinear functions with the challenge of optimizing in the context of nonconvex functions and discrete variables. MINLP is one of the most flexible modeling paradigms available for optimization; but because its scope is so broad, in the most general cases it is hopelessly intractable. Nonetheless, an expanding body of researchers and practitioners — including chemical engineers, operations researchers, industrial engineers, mechanical engineers, economists, statisticians, computer scientists, operations managers, and mathematical programmers — are interested in solving large-scale MINLP instances.
Author |
: P. Venkataraman |
Publisher |
: John Wiley & Sons |
Total Pages |
: 546 |
Release |
: 2009-03-23 |
ISBN-10 |
: 9780470084885 |
ISBN-13 |
: 047008488X |
Rating |
: 4/5 (85 Downloads) |
Synopsis Applied Optimization with MATLAB Programming by : P. Venkataraman
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 |
ISBN-10 |
: 9781498721158 |
ISBN-13 |
: 149872115X |
Rating |
: 4/5 (58 Downloads) |
Synopsis Optimization by : Rajesh Kumar Arora
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 |
: Roy H. Kwon |
Publisher |
: CRC Press |
Total Pages |
: 356 |
Release |
: 2013-09-05 |
ISBN-10 |
: 9781482204346 |
ISBN-13 |
: 1482204347 |
Rating |
: 4/5 (46 Downloads) |
Synopsis Introduction to Linear Optimization and Extensions with MATLAB by : Roy H. Kwon
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
Author |
: Suman Dutta |
Publisher |
: Cambridge University Press |
Total Pages |
: 384 |
Release |
: 2016-03-11 |
ISBN-10 |
: 9781316691793 |
ISBN-13 |
: 1316691799 |
Rating |
: 4/5 (93 Downloads) |
Synopsis Optimization in Chemical Engineering by : Suman Dutta
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.
Author |
: Lisa A. Oberbroeckling |
Publisher |
: Academic Press |
Total Pages |
: 294 |
Release |
: 2020-05-09 |
ISBN-10 |
: 9780128178003 |
ISBN-13 |
: 0128178000 |
Rating |
: 4/5 (03 Downloads) |
Synopsis Programming Mathematics Using MATLAB by : Lisa A. Oberbroeckling
Providing an alternative to engineering-focused resources in the area, Programming Mathematics Using MATLAB® introduces the basics of programming and of using MATLAB® by highlighting many mathematical examples. Emphasizing mathematical concepts through the visualization of programming throughout the book, this useful resource utilizes examples that may be familiar to math students (such as numerical integration) and others that may be new (such as fractals). Additionally, the text uniquely offers a variety of MATLAB® projects, all of which have been class-tested thoroughly, and which enable students to put MATLAB® programming into practice while expanding their comprehension of concepts such as Taylor polynomials and the Gram–Schmidt process. Programming Mathematics Using MATLAB® is appropriate for readers familiar with sophomore-level mathematics (vectors, matrices, multivariable calculus), and is useful for math courses focused on MATLAB® specifically and those focused on mathematical concepts which seek to utilize MATLAB® in the classroom. - Provides useful visual examples throughout for student comprehension - Includes valuable, class-tested projects to reinforce both familiarity with MATLAB® and a deeper understanding of mathematical principles - Offers downloadable MATLAB® scripts to supplement practice and provide useful example