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Optimization Using Linear Programming -  Mercury Learning and Information,  Veena Jain,  A. J. Metei

Optimization Using Linear Programming (eBook)

A Practical Guide to Mastering Linear Programming Techniques
eBook Download: EPUB
2024 | 1. Auflage
369 Seiten
Packt Publishing (Verlag)
978-1-83664-690-7 (ISBN)
Systemvoraussetzungen
29,99 inkl. MwSt
(CHF 29,30)
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This book is designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game theory to solve applied problems efficiently. It emphasizes solving linear programming problems with software like MS-Excel, Mathematica, MATLAB, WinQSB, and LINDO, while providing the necessary definitions and theorems for mastering theoretical aspects.
The journey begins with basics of linear algebra using MS-Excel, followed by an introduction to linear programming problems and the graphical method. It then delves into the simplex method, duality, and sensitivity analysis. The course covers transportation, transshipment, assignment problems, and concludes with game theory. Each chapter builds on the previous one, ensuring a comprehensive understanding of the topics.
Understanding these concepts is crucial for solving complex applied problems. This book transitions readers from basic to advanced techniques in numerical linear algebra and linear programming, combining theoretical knowledge with practical applications. It is an essential resource for mastering these topics and maximizing efficiency in problem-solving.


Master linear programming with this comprehensive guide, covering fundamentals, advanced methods, and practical applications using Excel, MATLAB, and Lindo.Key FeaturesComprehensive coverage of linear programmingPractical examples using software toolsIn-depth exploration of advanced topicsBook DescriptionThis book is designed for engineers, mathematicians, computer scientists, financial analysts, and anyone interested in using numerical linear algebra, matrix theory, and game theory to solve applied problems efficiently. It emphasizes solving linear programming problems with software like MS-Excel, Mathematica, MATLAB, WinQSB, and LINDO, while providing the necessary definitions and theorems for mastering theoretical aspects. The journey begins with basics of linear algebra using MS-Excel, followed by an introduction to linear programming problems and the graphical method. It then delves into the simplex method, duality, and sensitivity analysis. The course covers transportation, transshipment, assignment problems, and concludes with game theory. Each chapter builds on the previous one, ensuring a comprehensive understanding of the topics. Understanding these concepts is crucial for solving complex applied problems. This book transitions readers from basic to advanced techniques in numerical linear algebra and linear programming, combining theoretical knowledge with practical applications. It is an essential resource for mastering these topics and maximizing efficiency in problem-solving.What you will learnMaster the basics of linear algebraFormulate linear programming modelsSolve problems using the Simplex MethodConduct sensitivity analysisAddress transportation and assignment problemsApply game theory to optimizationWho this book is forThis book is ideal for students, researchers, and professionals in operations research, mathematics, and engineering fields. A basic understanding of linear algebra and optimization concepts is recommended.]]>
Erscheint lt. Verlag 8.8.2024
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Algebra
Mathematik / Informatik Mathematik Angewandte Mathematik
Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
ISBN-10 1-83664-690-9 / 1836646909
ISBN-13 978-1-83664-690-7 / 9781836646907
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