Lecture
Optimality Conditions in Linear Optimization
Description
This lecture covers optimality conditions in linear optimization, including strong duality and complementarity slackness. It explains the primal and dual optimal solutions, assumptions, strong duality theorem, and complementarity slackness conditions.
In MOOCs (6)
Optimization: principles and algorithms - Linear optimization
Introduction to linear optimization, duality and the simplex algorithm.
Optimization: principles and algorithms - Linear optimization
Introduction to linear optimization, duality and the simplex algorithm.
Optimization: principles and algorithms - Network and discrete optimization
Introduction to network optimization and discrete optimization
Optimization: principles and algorithms - Network and discrete optimization
Introduction to network optimization and discrete optimization
Optimization: principles and algorithms - Unconstrained nonlinear optimization
Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.
Instructor
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Official source
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