The aim of this course is to describe the comprehensive introduction to the theory and algorithms. This course also covers applications of integer optimization and is organized in four parts: formulations and relaxations, algebra and geometry of integer optimization, algorithms for integer optimization, and extensions of integer optimization. If you are interested about Integer Programming and Combinatorial Optimization, then this is the right one.
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 need 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
|Methods to enhance formulations I||00:14:00|
|Methods to enhance formulations II||00:13:00|
|Ideal formulations I||00:14:00|
|Ideal formulations II||00:13:00|
|Ideal formulations III||00:15:00|
|Duality theory I||00:14:00|
|Duality theory II||00:13:00|
|Algorithms for solving relaxations||00:12:00|
|Robust discrete optimization||00:13:00|
|Algebraic geometry I||00:14:00|
|Algebraic geometry II||00:12:00|
|Cutting plane methods I||00:14:00|
|Cutting plane methods II||00:13:00|
|Approximation algorithsm I||00:13:00|
|Approximation algorithms II||00:15:00|
|Approximation algorithms III||00:12:00|
|Mixed integer optimization I||00:15:00|
|Mixed integer optimization II||00:14:00|
|Submit Your Assignment||00:00:00|
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