Book Details
Format
Paperback
Pages
473
Language
English
Published
Apr 26, 2013
Publisher
Springer
Edition
Softcover reprint of the original 1st ed. 1997
ISBN-10
1475781121
ISBN-13
9781475781120
Description
This work serves as a foundational introduction to the principles and applications of linear programming, a critical area in operations research and financial engineering. Authored by renowned experts George B. Dantzig and Mukund N. Thapa, it lays out the essential concepts in a clear and accessible manner, making it suitable for both beginners and seasoned practitioners.
Readers will find a comprehensive exploration of linear programming techniques, emphasizing practical applications across various fields. The authors meticulously cover the theory behind optimization, providing insights into the mathematical models that drive decision-making processes in complex scenarios. Their extensive experience in the field enriches the content, offering real-world examples to illustrate the relevance of these methods.
As part of a respected series, this book not only aims to educate but also to inspire readers to delve deeper into the world of linear programming. With its balanced approach of theory and application, it stands as a valuable resource for students and professionals looking to enhance their understanding of operational efficiency and resource allocation.
Readers will find a comprehensive exploration of linear programming techniques, emphasizing practical applications across various fields. The authors meticulously cover the theory behind optimization, providing insights into the mathematical models that drive decision-making processes in complex scenarios. Their extensive experience in the field enriches the content, offering real-world examples to illustrate the relevance of these methods.
As part of a respected series, this book not only aims to educate but also to inspire readers to delve deeper into the world of linear programming. With its balanced approach of theory and application, it stands as a valuable resource for students and professionals looking to enhance their understanding of operational efficiency and resource allocation.
Genres
Action & Adventure
History