List questions from convex-optimization

Published on 14 Apr 2026 - 8:07

185

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A matrix norm optimization problem involving matrix inversion

Published on 08 Apr 2026 - 22:23

104

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Can the dual of a concave problem be an LP/QP

Published on 11 Apr 2026 - 23:25

1.2k

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Norm cone is a proper cone

Published on 11 Apr 2026 - 12:18

512

Views

Using Farkas' Lemma to Prove Strong Duality

Published on 10 Apr 2026 - 16:49

264

Views

Solve Linear Least Squares with $ {L}_{1} $ Norm Regularization with Linear Equality and Non Negativity Constraints

Published on 15 Apr 2026 - 22:17

101

Views

Operations that preserve non-convexity

Published on 13 Apr 2026 - 0:10

36

Views

Name for $K' = \{y \in \mathbb R^m: y^T A \ge 0\}$ when $K = \{x \in \mathbb R^n: Ax \le 0\}$?

Published on 14 Apr 2026 - 5:55

17

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Convexity of partial variables of a convexfunction

Published on 14 May 2026 - 18:13

350

Views

How can I show that the arguments that minimize a function are not affected by a constant (or not affected much by a constant)?

Published on 22 Apr 2026 - 20:05

279

Views

Compare two $a$ and $b$ LPP, and show that if $a$ has non empty feasible region the optimal value of $a$ is either equal to zero or $a$ is unbounded

Published on 14 Apr 2026 - 3:07

160

Views

Projection onto the convex hull of a sequence

Published on 12 Apr 2026 - 5:18

36

Views

Non-uniqueness of optimization problem to estimate sample statistics

Published on 11 May 2026 - 8:49

264

Views

Confusion about minimizer(s) of convex functions

Published on 09 Apr 2026 - 8:46

26

Views

Prove minimum for constrained convex optimization.

Published on 14 Apr 2026 - 20:16

List Question

Visualizing / Interpreting Hessian Manifold in Mirror Descent

A matrix norm optimization problem involving matrix inversion

Can the dual of a concave problem be an LP/QP

Norm cone is a proper cone

Using Farkas' Lemma to Prove Strong Duality

Solve Linear Least Squares with $ {L}_{1} $ Norm Regularization with Linear Equality and Non Negativity Constraints

Operations that preserve non-convexity

Name for $K' = \{y \in \mathbb R^m: y^T A \ge 0\}$ when $K = \{x \in \mathbb R^n: Ax \le 0\}$?

Convexity of partial variables of a convexfunction

How can I show that the arguments that minimize a function are not affected by a constant (or not affected much by a constant)?

Compare two $a$ and $b$ LPP, and show that if $a$ has non empty feasible region the optimal value of $a$ is either equal to zero or $a$ is unbounded

Projection onto the convex hull of a sequence

Non-uniqueness of optimization problem to estimate sample statistics

Confusion about minimizer(s) of convex functions

Prove minimum for constrained convex optimization.

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