---
product_id: 8209006
title: "Linear Programming and Network Flows"
price: "127686CFA"
currency: XOF
in_stock: true
reviews_count: 11
url: https://www.desertcart.sn/products/8209006-linear-programming-and-network-flows
store_origin: SN
region: Senegal
---

# Linear Programming and Network Flows

**Price:** 127686CFA
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- **What is this?** Linear Programming and Network Flows
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Review: Beautiful book for those with some experience. - **DISCLAIMER: I haven't yet read the portion of the book on network flows.** The authors tie the geometry and algebra of linear programs together in a natural, intuitive way. My background has been mostly in pure mathematics, and I feel like this text is written in my language: it's rigorous and insightful, but not pedantic. At the same time, plenty of concrete examples are provided and worked through, which is helpful. Some maturity is needed, especially comfort with linear algebra and proofs, the latter since the writing is (pleasantly) conversational, and the authors generally rely on the reader to recognize when something is being proved. It is helpful to have some experience with the basics of convex geometry and linear programming beforehand, too: I remember thinking as I read the sections on Carathéodory's representation theorem, basic feasible solutions, and the simplex method - especially the establishment and use of all the equivalent forms of the canonical LP - that I would have struggled a bit if I hadn't seen the material before. Overall, this is a wonderful book for the mathematically-minded who want to really understand linear programming, and I look forward to finishing it.
Review: Learn the why and not just the how of optimization - Very Good as a standalone textbook. Very organized. You will find the the chapter 2 more useful if you look up the linear algebra chapter from Dr.Gilbert Strang's book from MIT(not needed if you still remember your linear algebra). The exercises are challenging- part of them ask for proofs and focus on conceptual understanding, part of them ask for the numerical solutions, and part of them have questions that reflect business problems realistically- especially the sensitivity analysis exercises are very interesting. How it is different from your standard optimization book- This book explains the workings of the algorithms apart from just teaching how to implement them. For example it teaches you how to interpret the entries in a simplex tableau apart from just providing steps on how to implement it The chapter on decomposition algorithm explains the rationale behind the technique . I feel you can get by with an optimization book for solving optimization problems but if you truly want to master optimization conceptually and you like an organized teaching structure , this should be the perfect book.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #763,068 in Books ( See Top 100 in Books ) #30 in Linear Programming (Books) #2,375 in Mathematics (Books) #4,271 in Computer Programming (Books) |
| Customer Reviews | 4.4 4.4 out of 5 stars (24) |
| Dimensions  | 6.5 x 1.7 x 9.4 inches |
| Edition  | 4th |
| ISBN-10  | 0470462728 |
| ISBN-13  | 978-0470462720 |
| Item Weight  | 2.5 pounds |
| Language  | English |
| Print length  | 768 pages |
| Publication date  | December 14, 2009 |
| Publisher  | Wiley |

## Images

![Linear Programming and Network Flows - Image 1](https://m.media-amazon.com/images/I/619+S6KpKGL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Beautiful book for those with some experience.
*by A***R on July 20, 2017*

**DISCLAIMER: I haven't yet read the portion of the book on network flows.** The authors tie the geometry and algebra of linear programs together in a natural, intuitive way. My background has been mostly in pure mathematics, and I feel like this text is written in my language: it's rigorous and insightful, but not pedantic. At the same time, plenty of concrete examples are provided and worked through, which is helpful. Some maturity is needed, especially comfort with linear algebra and proofs, the latter since the writing is (pleasantly) conversational, and the authors generally rely on the reader to recognize when something is being proved. It is helpful to have some experience with the basics of convex geometry and linear programming beforehand, too: I remember thinking as I read the sections on Carathéodory's representation theorem, basic feasible solutions, and the simplex method - especially the establishment and use of all the equivalent forms of the canonical LP - that I would have struggled a bit if I hadn't seen the material before. Overall, this is a wonderful book for the mathematically-minded who want to really understand linear programming, and I look forward to finishing it.

### ⭐⭐⭐⭐⭐ Learn the why and not just the how of optimization
*by A***T on December 11, 2017*

Very Good as a standalone textbook. Very organized. You will find the the chapter 2 more useful if you look up the linear algebra chapter from Dr.Gilbert Strang's book from MIT(not needed if you still remember your linear algebra). The exercises are challenging- part of them ask for proofs and focus on conceptual understanding, part of them ask for the numerical solutions, and part of them have questions that reflect business problems realistically- especially the sensitivity analysis exercises are very interesting. How it is different from your standard optimization book- This book explains the workings of the algorithms apart from just teaching how to implement them. For example it teaches you how to interpret the entries in a simplex tableau apart from just providing steps on how to implement it The chapter on decomposition algorithm explains the rationale behind the technique . I feel you can get by with an optimization book for solving optimization problems but if you truly want to master optimization conceptually and you like an organized teaching structure , this should be the perfect book.

### ⭐⭐⭐⭐⭐ A must have for every operation research student
*by J***M on September 5, 2022*

I received this book in perfect condition. This book contains almost all information needed to understand the linear programming field.

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*Last updated: 2026-02-03*