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Simple explanation of lagrange multipliers with multiple constraints
calculus
multivariable-calculus
lagrange-multiplier
karush-kuhn-tucker
How to minimize $\sum_{i=1}^p (y_i-x_i)^2$ with constraints $\sum_{i=1}^p y_i - 1 =0$ and $\forall i=\overline{1,p}:-y_i \le 0$?
optimization
convex-optimization
karush-kuhn-tucker
Help me organize these concepts -- KKT conditions and dual problem
convex-optimization
duality-theorems
karush-kuhn-tucker
Is KKT conditions necessary and sufficient for any convex problems?
convex-analysis
convex-optimization
duality-theorems
karush-kuhn-tucker
Please explain the intuition behind the dual problem in optimization.
optimization
convex-optimization
intuition
lagrange-multiplier
karush-kuhn-tucker
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