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Total Size:
47.3 MB
Info Hash:
D3AC67249F054F7011BA0224FA445D3E71E2C0CA
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Added:
April 20, 2026, 8:29 a.m.
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(Last updated: April 20, 2026, 8:34 a.m.)
| File | Size |
|---|---|
| Readme.txt | 1.3 KB |
| Hillier F., Lieberman G. Introduction to Operations Research 10ed 2015.pdf | 19.1 MB |
| Hillier F., Lieberman G. Introduction to Operations Research 2024 Release.pdf | 28.3 MB |
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575.1 MB
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2023-07-02
| Uploaded by indexFroggy | Size 575.1 MB | Health [ 35 /14 ] | Added 2023-07-02 |
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181.4 MB
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| Uploaded by indexFroggy | Size 181.4 MB | Health [ 15 /4 ] | Added 2024-07-07 |
NOTE
SOURCE: Hillier F., Lieberman G. Introduction to Operations Research 2024 Release
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COVER
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MEDIAINFO
Textbook in PDF format
Introduction to Operations Research is the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the art, user-friendly software and more coverage of business applications than ever before. When the first co-author received the prestigious Expository Writing Award from INFORMS for a recent edition, the award citation described the reasons for the book’s great success 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.”
Introduction
Overview of How Operations Research and Analytics Professionals Analyze Problems
Introduction to Linear Programming
Solving Linear Programming Problems: The Simplex Method
The Theory of the Simplex Method
Duality Theory
Linear Programming under Uncertainty
Other Algorithms for Linear Programming
The Transportation and Assignment Problems
Network Optimization Models
Dynamic Programming
Integer Programming
Nonlinear Programming
Metaheuristics
Game Theory
Decision Analysis
Queueing Theory
Markov Decision Processes
Simulation
APPENDIXES
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