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In a book I'm reading (Convex Optimization by Boyd and Vandenberghe) it says I'm struggling to understand the last sentence. Why can one conclude concavity from having a pointwise infimum of a fam
Total Internal Reflection : Musings on Machine Learning
Total Internal Reflection : Musings on Machine Learning
Total Internal Reflection : Musings on Machine Learning
Chapter 3 Geometry of convex functions - Meboo Publishing
convex optimization - Pointwise infimum of affine functions is
Evenly Quasiconvex Functions
real analysis - The dual function g is concave, even when the
SVM - Understanding the math: duality and Lagrange multipliers
Convex Relaxations of Integral Variational Problems: Pointwise
Please explain the intuition behind the dual problem in
2. The infimum and supremum in I for C = R 2 + .
Ridge regression as a constrained optimization - JLD STATS
Total Internal Reflection : Musings on Machine Learning
Convex functions Lecture 7 - ppt download