Duality: constraint relaxation
Bierlaire (2015) Optimization: principles and algorithms, EPFL Press. Section 4.1
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Duality: Lagrangian and dual problem
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Expectation Maximization: how it works
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Duality: duality in linear optimization
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Convexity and The Principle of Duality
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Descent methods and line search: preconditioned steepest descent
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9. Lagrangian Duality and Convex Optimization
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Graphical Illustration of KKT Conditions
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The Strange Math That Predicts (Almost) Anything
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Exact methods: branch and bound for integer optimization
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Constrained Optimization: Intuition behind the Lagrangian
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Descent methods and line search: first Wolfe condition
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Operations Research 05C: Weak Duality & Strong Duality
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Convex Optimization Basics
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The Karush–Kuhn–Tucker (KKT) Conditions and the Interior Point Method for Convex Optimization
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