Ivan Stanimirovic
Advances in Optimization and Linear Programming
Advances in Optimization and Linear Programming
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Excellent- More about Advances in Optimization and Linear Programming
This book provides a comprehensive guide to solving linear programming problems, including the simplex method, revised simplex method, dual simplex method, and multi-criteria decision-making methods. It covers mathematical models, classic algorithms, and practical examples, making it an essential resource for professors and students in optimization and linear programming.
Format: Hardback
Length: 194 pages
Publication date: 27 January 2022
Publisher: Apple Academic Press Inc.
This comprehensive new volume offers invaluable insights into the realm of solving linear programming problems using various methods, including the simplex method, revised simplex method, dual simplex method, and more. Presented in a logical and organized manner, the book begins by providing a mathematical framework for linear problem programming, outlining the common assumptions under which these problems are addressed. It then delves into the realm of classic algorithms for linear programming, exploring their theoretical foundations and practical applications.
Furthermore, the book expounds on the definitions and solutions of linear programming problems, elucidating the simplest geometric approaches and demonstrating their implementation. Throughout the text, practical examples are incorporated to reinforce the concepts and facilitate a deeper understanding of the subject matter.
In conclusion, Advances in Optimization and Linear Programming serves as an indispensable guide for professors and students seeking to excel in the field of optimization and linear programming. By comprehensively covering various methods and providing detailed explanations, this book equips readers with the knowledge and tools necessary to tackle complex linear programming challenges effectively.
Weight: 535g
Dimension: 229 x 152 (mm)
ISBN-13: 9781774637401
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