Introduction to Operations Research, 11/e (IE-Paperback)

Description
Introduction to Operations Research is the worldwide gold standard for textbooks in operations research. This famous text, around since the early days of the field, has grown into a contemporary 21st century eleventh edition with the infusion of new state-of-the-art content.

INFORMS recognized Introduction to Operations Research with a prestigious Expository Writing Award.
The award citation described the reasons for the book's award as follows:
"Two features account for this success. First, the editions have been outstanding from students' points of view due to excellent motivation, clear and intuitive explanations, good examples of professional practice, excellent organization of material, very useful supporting software, and appropriate but not excessive mathematics. Second, the editions have been attractive from instructors' points of view because they repeatedly infuse state-of-the-art material with remarkable lucidity and plain language."

New to the Eleventh Edition

• Four new sections on analytics as a complement to operations research
• A new section highlighting exciting current trends in the field
• A new section on multiple criteria analysis, including goal programming
• A new section on behavioral queueing theory
• A new section on Markov decision processes in practice
• A new section on the theory of simulation optimization
• Significant reorganization and streamlining, including moving more technical material to the website
• Many smaller updates, including a considerable number of up-to-date application vignettes and selected references (while deleting outdated ones)

Additional Features
The text website (www.mhhe.com/hillier11e) contains a wealth of software options and supplementary material

• OR Tutor for illustrating various algorithms in action and IOR Tutorial for learning and executing algorithms interactively
• Student version of LINDO and LINGO with tutorials and many formulation examples from the text
• Student versions of MPL and its elite solvers, plus a tutorial and many formulation examples
• Many Excel spreadsheet formulations and solutions, using the standard Excel Solver
• Many Excel templates for automatically solving a variety of models
• A wealth of supplementary material on the book's website, including chapter supplements, eight additional web chapters, additional examples, and realistic cases

描述

《營運研究導論》是全球營運研究教科書的黃金標準。這本著名的教材自從該領域的早期以來就存在，隨著新的最新內容的注入，已經成為一本現代的21世紀第11版。



INFORMS以傑出的寫作獎項表彰了《營運研究導論》。獎項引文如下所述：

“這一成功有兩個特點。首先，從學生的角度來看，這些版本因出色的動機、清晰直觀的解釋、良好的專業實踐示例、優秀的材料組織、非常有用的支援軟件和適度但不過度的數學而出色。其次，從教師的角度來看，這些版本因反復注入最新的材料並以非凡的清晰度和平實的語言呈現而具有吸引力。”

第11版的新增內容

• 四個新的章節，介紹分析作為營運研究的補充

• 一個新的章節突出了該領域令人興奮的當前趨勢

• 一個新的章節介紹多準則分析，包括目標規劃

• 一個新的章節介紹行為排隊理論

• 一個新的章節介紹馬爾可夫決策過程的實踐

• 一個新的章節介紹模擬優化理論

• 重組和精簡，包括將更多技術材料移至網站

• 許多小的更新，包括大量最新的應用實例和選定的參考文獻（刪除過時的內容）

其他特點

該教材網站（www.mhhe.com/hillier11e）提供了豐富的軟件選項和補充材料

• OR Tutor用於展示各種演算法的實際應用，IOR Tutorial用於互動學習和執行演算法

• LINDO和LINGO的學生版本，附有教程和來自教材的許多公式示例

• MPL及其精英求解器的學生版本，附有教程和許多公式示例

• 使用標準Excel Solver的許多Excel電子表格公式和解決方案

• 自動解決各種模型的許多Excel模板

• 該書網站上豐富的補充材料，包括章節補充、八個額外的網絡章節、額外的示例和真實案例

1) Introduction
2) Overview of How Operations Research and Analytics Professionals Analyze Problems
3) Introduction to Linear Programming
4) Solving Linear Programming Problems: The Simplex Method
5) The Theory of the Simplex Method
6) Duality Theory
7) Linear Programming under Uncertainty
8) Other Algorithms for Linear Programming
9) The Transportation and Assignment Problems
10) Network Optimization Models
11) Dynamic Programming
12) Integer Programming
13) Nonlinear Programming
14) Metaheuristics
15) Game Theory
16) Decision Analysis
17) Queueing Theory
18) Inventory Theory
19) Markov Decision Processes
20) Simulation

Appendix 1 - Documentation for the OR Courseware
Appendix 2 - Convexity
Appendix 3 - Classical Optimization Methods
Appendix 4 - Matrices and Matrix Operations
Appendix 5 - Table for a Normal Distribution

1) 簡介
2) 運籌學和分析專業人員分析問題的概述
3) 線性規劃介紹
4) 解決線性規劃問題：單纯形法
5) 單纯形法理論
6) 對偶理論
7) 不確定情況下的線性規劃
8) 其他線性規劃算法
9) 運輸和分配問題
10) 網絡優化模型
11) 動態規劃
12) 整數規劃
13) 非線性規劃
14) 元啟發式算法
15) 博弈論
16) 決策分析
17) 排隊理論
18) 存貨理論
19) 馬可夫決策過程
20) 模擬

附錄1 - 運籌學課程軟體文檔
附錄2 - 凸性
附錄3 - 經典優化方法
附錄4 - 矩陣和矩陣運算
附錄5 - 正態分佈表格