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ADMM (Alternating Direction Method of Multipliers)

ADMM splits a hard optimization problem into two easier subproblems that communicate through simple averaging-like steps.

#admm#alternating direction method of multipliers#augmented lagrangian+11
∑MathAdvanced

KKT Conditions

KKT conditions generalize Lagrange multipliers to handle inequality constraints in constrained optimization problems.

#kkt conditions
Advanced
Filtering by:
#convex optimization
#lagrangian
#complementary slackness
+12
📚TheoryAdvanced

Maximum Entropy Principle

The Maximum Entropy Principle picks the probability distribution with the greatest uncertainty (entropy) that still satisfies the facts you know (constraints).

#maximum entropy principle#jaynes#exponential family+12