Introduction to Linear Optimization pdf epub mobi txt 電子書下載 2025

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Dimitris Bertsimas

Athena Scientific

1997-02-01

608

USD 89.00

Hardcover

9781886529199

圖書標籤: Optimization 數學綫性規劃運籌學優化最優化算法數學和計算機

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发表于2025-04-14

Introduction to Linear Optimization epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2025

Introduction to Linear Optimization pdf epub mobi txt 電子書下載 2025

圖書描述

"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 下載 mobi epub pdf txt 電子書

著者簡介

The authors are Professors at the Massachusetts Institute of Technology.

圖書目錄

Introduction to Linear Optimization pdf epub mobi txt 電子書下載

想要找書就要到小哈圖書下載中心

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用戶評價

評分☆☆☆☆☆

best textbook in LP

評分☆☆☆☆☆

hard to understand

評分☆☆☆☆☆

This book somehow differs from other books on linear optimization in its approach. This book is not appropriate for those who want to quickly get hands on optimization algorithm. Those who want to get a sound understanding of the subject and deal with very challenging exercises find this book interesting.

評分☆☆☆☆☆

Problem formulation; with inequality; simplex method;

評分☆☆☆☆☆

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