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Operations Research uses a balanced combination of theory, applications and computations to help you learn the basics of operating research (OR). It focuses on algorithmic and practical implementation of OR techniques. Easy-to-understand numerical examples explain often difficult math concepts, helping you grasp the foundational idea without getting stuck on complex theorems or notations. Full case studies and math-free anecdotes show how algorithms are used in real-life applications.
The 11th Edition introduces analytics, artificial intelligence, and machine learning topics that strengthen and streamline the decision-making processes involved in OR. New stories, 3 new chapters, new case studies and sections provide an up-to-date introduction to the field of OR.
Operations Research uses a balanced combination of theory, applications and computations to help you learn the basics of operating research (OR). It focuses on algorithmic and practical implementation of OR techniques. Easy-to-understand numerical examples explain often difficult math concepts, helping you grasp the foundational idea without getting stuck on complex theorems or notations. Full case studies and math-free anecdotes show how algorithms are used in real-life applications.
The 11th Edition introduces analytics, artificial intelligence, and machine learning topics that strengthen and streamline the decision-making processes involved in OR. New stories, 3 new chapters, new case studies and sections provide an up-to-date introduction to the field of OR.
- Overview of Operations Research, Analytics, and AI in Decision Making
- Modeling with Linear Programming
- The Simplex Method and Sensitivity Analysis
- Duality and Post-Optimal Analysis
- Transportation Model and Its Variants
- Network Models
- Advanced Linear Programming
- Stochastic Linear Programming
- Integer Linear Programming
- Heuristic and Constraint Programming
- Traveling Salesperson Problem (TSP)
- Dynamic Programming (DP)
- Inventory Modeling
- Yield Management (YM)
- Decision Analysis and Games
- Markov Chains
- Markovian Decision Process
- Queuing Systems
- Discrete Event and Monte Carlo Simulations
- Classical Optimization Theory
- Nonlinear Programming Algorithms
- Case Analysis
| Erscheinungsjahr: | 2024 |
|---|---|
| Fachbereich: | Fertigungstechnik |
| Genre: | Importe, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| ISBN-13: | 9781292736099 |
| ISBN-10: | 1292736097 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Taha, Hamdy
Taha, Hamdy A. |
| Auflage: | 11. Auflage |
| Hersteller: |
Pearson
Pearson Education Limited |
| Verantwortliche Person für die EU: | Pearson Education, St.-Martin-Str. 82, D-81541 München, info@pearson.de |
| Maße: | 235 x 178 x 62 mm |
| Von/Mit: | Hamdy Taha (u. a.) |
| Erscheinungsdatum: | 03.05.2024 |
| Gewicht: | 1,694 kg |
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