Introduction to Linear Optimization pdf epub mobi txt 电子书下载 2024

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Dimitris Bertsimas

Athena Scientific

1997-02-01

608

USD 89.00

Hardcover

9781886529199

图书标签: Optimization 数学线性规划运筹学优化最优化算法数学和计算机

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发表于2024-12-23

Introduction to Linear Optimization epub 下载 mobi 下载 pdf 下载 txt 电子书下载 2024

Introduction to Linear Optimization pdf epub mobi txt 电子书下载 2024

图书描述

"The true merit of this book, however, lies in its pedagogical qualities which are so impressive..." "Throughout the book, the authors make serious efforts to give geometric and intuitive explanations of various algebraic concepts, and they are widely successful in this effort." "In conclusion, this is an outstanding textbook that presents linear optimization in a truly modern and up-to-date light. One reading of this book is sufficient to appreciate the tremendous amount of quality effort that the authors have put into the writing, and I strongly recommend it to all teachers, researchers and practitioners of mathematical programming." --Motakuri Ramana in Optima, Issue 54

Bertsimas and Tsitsiklis have written a comprehensive treatise, offering an easy-to-understand presentation of linear programming and related topics, including network-flow programming and discrete optimization. --Jonathan Bard in Interfaces, Issue 30(4), July 2000

Introduction to Linear Optimization 下载 mobi epub pdf txt 电子书

著者简介

The authors are Professors at the Massachusetts Institute of Technology.

图书目录

Introduction to Linear Optimization pdf epub mobi txt 电子书下载

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用户评价

评分☆☆☆☆☆

叙述很清晰，通俗易懂

评分☆☆☆☆☆

The book does a great job in giving motivations in various parts, notably simplex methods and duality. Its approach to interior point method though is more complicated than necessary.

评分☆☆☆☆☆

Classic.

评分☆☆☆☆☆

before: a must-study topic. after: 1. amazingly intuitive, 2. Ellipsoid method go smoothly with CP03, Geometric Algorithm and CO by Lovász.

评分☆☆☆☆☆

The book does a great job in giving motivations in various parts, notably simplex methods and duality. Its approach to interior point method though is more complicated than necessary.