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【書籍資訊】
Introduction to Operations Research 11/e
作者：Frederick Hillier, Gerald J. Lieberman
原價：NT$ 1,780
ISBN：9781260575873
版次：11
年份：2021
出版商：McGraw-Hill
頁數/規格：992頁/平裝單色

【內容】
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updates, including a considerable number of up-to-date application vignettes and selected references (while deleting outdated ones)


【目錄】
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