Courses:

Network Optimization >> Content Detail



Lecture Notes



Lecture Notes





SES #TOPICS
1Introduction to Network Models (PDF)
2Computational Complexity and Data Structures (PDF)
3Graph Search Algorithms (PDF)
4Transformations and Flow Decomposition (PDF)
5Shortest Paths: Label Setting Algorithms (PDF)
6The Radix Heap Algorithm (PDF)
7Shortest Paths: Label Correcting Algorithms (PDF)
8Basic Algorithms for The Maximum Flow Problem (PDF)
9Combinatorial Applications of Maximum Flows (PDF)
10Preflow Push Algorithms (PDF)
11More on Preflow Push Algorithms (PDF)
12Midterm
13The Global Min Cut Algorithm (PDF)
14Minimum Cost Flows: Basic Algorithms (PDF)
15The Successive Shortest Path Algorithm (PDF)
16The Network Simplex Algorithm (PDF)
17Minimum Cost Spanning Trees (PDF)
18Review of Linear Programming (PDF)
Linear Programming Recitation (PDF)
19Generalized Flows (PDF)
20Lagrangian Relaxation 1 (PDF)
21Lagrangian Relaxation 2 (PDF)
22Multicommodity Flows (PDF)
23Multicommodity Flows (PDF)
24Very Large Scale Neighborhood Search (PDF)
 


 



 








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