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Systems Science
Operations Research
1. Introduction to Operations Research
2. Mathematical Preliminaries
3. Linear Programming
4. Transportation and Assignment Problems
5. Network Optimization Models
6. Integer Programming
7. Nonlinear Programming
8. Dynamic Programming
9. Stochastic Processes and Markov Chains
10. Queueing Theory
11. Inventory Theory
12. Simulation
13. Decision Analysis
14. Heuristics and Metaheuristics
Network Optimization Models
Graph Theory Fundamentals
Basic Definitions
Nodes and Arcs
Directed and Undirected Graphs
Paths and Cycles
Network Representation
Graph Properties
Network Flow Concepts
Shortest Path Problems
Single-Source Shortest Path
Dijkstra's Algorithm
Bellman-Ford Algorithm
All-Pairs Shortest Path
Floyd-Warshall Algorithm
Applications in Routing and Navigation
Minimum Spanning Tree Problems
Problem Definition and Applications
Prim's Algorithm
Kruskal's Algorithm
Properties of Minimum Spanning Trees
Maximum Flow Problems
Problem Definition and Formulation
Flow Conservation Constraints
Capacity Constraints
Max-Flow Min-Cut Theorem
Ford-Fulkerson Algorithm
Edmonds-Karp Algorithm
Applications in Network Capacity
Minimum Cost Flow Problems
Problem Formulation
Network Simplex Method
Applications in Supply Chain Optimization
Relationship to Other Network Problems
Project Scheduling Networks
Project Network Representation
Activity-on-Node Networks
Activity-on-Arrow Networks
Critical Path Method
Forward Pass Calculations
Backward Pass Calculations
Slack Calculations
Critical Path Identification
Program Evaluation and Review Technique
Probabilistic Time Estimates
Expected Project Duration
Project Variance Calculations
Project Crashing
Resource Allocation and Leveling
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6. Integer Programming