Schaum's outline of operations research
Material type:
TextPublication details: New Delhi McGraw Hill Education (India) Pvt. Ltd. 2019 Edition: 2ndDescription: vii, 272 pISBN: 9780070584006Subject(s): Operations researchDDC classification: 003 Summary: Tackling the broad range of allocation problems that actually confront engineers, programmers and analysts in today's business and industrial worlds, this book takes readers step-by-step through all the mathematical programming techniques--including the trailblazing Karmarkar algorithm--needed to excel in any operations research course. It's easy to see why the first edition of this invaluable study guide sole more than 35,000 copies! It cuts down study time while it builds essential skills.
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
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Book
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Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 003 BRO (Browse shelf(Opens below)) | 1 | Available | 000885 | |
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Book
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Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 003 BRO (Browse shelf(Opens below)) | 2 | Available | 000886 |
Chapter 1. Mathematical Programming
Chapter 2. Linear Programming: Basic Concepts
Chapter 3. Linear Programming: The Simplex and the Dual Simple Methods
Chapter 4. Linear Programming: Duality and Sensitivity Analysis
Chapter 5. Linear Programming: Extensions
Chapter 6. Integer Programming: Branch-and-Bound Algorithm
Chapter 7. Integer Programming: Cut Algorithms
Chapter 8. Integer Programming: the Transportation Algorithm
Chapter 9. Integer Programming: Scheduling Models
Chapter 10. Non-linear Programming: Single-Variable
Chapter 11. Non-linear Programming: Multivariable Optimization Without Constraints
Chapter 12. Non-linear Programming: Multivariable Optimization Without Constraints
Chapter 13. Network Analysis
Chapter 14. Project Planning Using Pert/cpm
Chapter 15. Inventory Models
Chapter 16. Forecasting
Chapter 17. Game Theory
Chapter 18. Decision Theory
Chapter 19. Dynamic Programming
Chapter 20. Finite Markov Chains
Chapter 21. Markovian Birth-Death Processes
Chapter 22. Queuing Systems
Chapter 23. M/m/1 Systems
Chapter 24. Other Systems with Poisson-type Input and Exponential-Type Service Times
Answers to Supplementary Problems
Index
Tackling the broad range of allocation problems that actually confront engineers, programmers and analysts in today's business and industrial worlds, this book takes readers step-by-step through all the mathematical programming techniques--including the trailblazing Karmarkar algorithm--needed to excel in any operations research course. It's easy to see why the first edition of this invaluable study guide sole more than 35,000 copies! It cuts down study time while it builds essential skills.
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