Description
Product Overview
This Springer linear programming book, published in 2009, is a detailed academic resource spanning 575 pages in English. It covers advanced topics in linear programming, mathematics research, and combinatorics, presented in a print replica format with a file size of 12.2 MB. Key specifications include ISBN-13 978-3540767961, ASIN B00HWUL6V8, and a focus on providing thorough, research-driven content for educational and professional applications.

Usage
This book is ideal for university students, researchers, and professionals in mathematics, engineering, and computer science who require deep insights into linear programming and related fields. It serves as a reference for coursework, self-study, and academic projects, offering practical applications in optimization and problem-solving scenarios.
Why Choose Us
Springer is renowned for high-quality academic publications, ensuring accuracy, peer-reviewed content, and reliable sourcing. This book stands out with its comprehensive coverage, clear English language presentation, and focus on current methodologies, making it a trusted choice for rigorous mathematical education and research.
Key Features
- Comprehensive 575-page coverage of linear programming and combinatorics
- Published by Springer, a leader in academic and research literature
- Available in English for broad accessibility and understanding
- Print replica format preserves original layout and readability
- Ideal for students and professionals seeking advanced mathematical insights
FAQ
What topics does this book cover?
It focuses on linear programming, mathematics research, and combinatorics, providing in-depth analysis and applications for academic and professional use.
Is this book suitable for beginners?
This edition is geared toward intermediate to advanced learners with a background in mathematics, as it delves into complex concepts and research methodologies.
What format is the book available in?
It is offered in a print replica format, maintaining the original page layout and design for consistent reading experience on compatible devices.
Can I use this for university courses?
Yes, it is well-suited for higher education courses in mathematics, optimization, and related disciplines, serving as a supplementary or primary textbook.
Does the book include practical examples?
It incorporates research-driven examples and case studies to illustrate linear programming principles and their real-world applications.






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