Linear Programming and Algorithms for Communication Networks

Our review of Linear Programming and Algorithms for Communication Networks finds it best suited for graduate students, network engineers and researchers who want a practical bridge between mathematical programming theory and real network problems. The book's single biggest reason to buy is its clear focus on applying linear programming and integer linear programming techniques to familiar network tasks such as shortest path, max flow and minimum-cost flow, making abstract methods immediately useful for network design, control and management.

Key Features

• Practical approach: The text emphasizes how to implement mathematical programming methods so readers can apply them directly to communication network problems.
• Coverage of fundamentals: It provides a solid foundation in linear programming concepts needed to model and solve optimization tasks in networks.
• Common network problems: The book addresses key optimization problems such as the shortest path problem, max flow problem, and minimum-cost flow problem with practical guidance.
• From basics to advanced: Material progresses from introductory topics to more advanced concepts, helping readers build skills in a logical sequence.
• Focus on implementation: Examples and explanations are framed to help translate theory into network design and control decisions.

Who It's For

This book is aimed at graduate students in networking and communications, practicing network engineers who need to use optimization techniques, and researchers looking for a hands-on treatment of mathematical programming applied to networks. It is most valuable for readers who already have some background in networking or basic optimization and want to connect theory to real problems.

Readers seeking a purely theoretical or heavily mathematical textbook without implementation emphasis may want a different reference. Similarly, complete beginners in mathematics with no prior exposure to linear programming may find the pace challenging without supplementary introductory material.

Pros & Cons

Pros

• Clear emphasis on applying mathematical programming to practical network design tasks.
• Direct treatment of core problems like shortest path and max flow that are central to network control.
• Logical progression from fundamentals to advanced topics that supports learning and reference use.

Cons

• Not tailored as a first introduction to linear programming for readers with no prior background.
• The source description is concise, so readers may need supplemental examples for complex implementation details.

Specifications

Our Verdict

Linear Programming and Algorithms for Communication Networks is a practical, well-focused guide for anyone who needs to apply optimization techniques to network problems. It is good value for graduate students, researchers and engineers who want concrete links between mathematical programming and network design; those seeking only elementary introductions should supplement it with a beginner textbook.

Frequently Asked Questions

Does this book cover implementation details?
Yes, the description emphasizes translating theory into practice for network design and control.

Which network problems are emphasized?
The book specifically addresses the shortest path, max flow and minimum-cost flow problems.

Is it suitable for beginners in optimization?
It starts with basics but is best for readers with some background; true beginners may need additional introductory material.