Network flows are part of information technology systems to keep it running smoothly. Resolving network flow issues and problems is part of linear programming problems in the sectors of transportation, logistics, manufacturing, etc.
You will be introduced to theories and concepts in network flows through this [course_title]. This course is designed to help you address network flow problems such as shortest path problem, maximum flow problem, minimum cost flow, and many more.
This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.
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Course Credit: MIT
|Introduction to network models||01:00:00|
|Computational complexity and data structures||01:00:00|
|Graph search algorithms||00:45:00|
|Transformations and flow decomposition||00:45:00|
|Shortest paths: label setting algorithms||00:45:00|
|The radix heap algorithm||00:30:00|
|Shortest paths: label correcting algorithms||00:45:00|
|Basic algorithms for the maximum flow problem||00:45:00|
|Combinatorial applications of maximum flows||00:45:00|
|Preflow push algorithms||00:45:00|
|More on preflow push algorithms||00:45:00|
|Minimum cost flow: basic algorithms||01:00:00|
|Minimum cost flow: polynomial time algorithms||00:45:00|
|Applications of network flows; Linear programming review||00:45:00|
|The network simplex algorithm||01:00:00|
|Lagrangian relaxation 1||01:00:00|
|Lagrangian relaxation 2||01:15:00|
|Multicommodity flows 1||00:45:00|
|Multicommodity flows 2||00:45:00|
|Submit Your Assignment||00:00:00|
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