List questions from convex-optimization

Published on 02 Mar 2018 - 5:44

70

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Sufficient conditions for optimization

Published on 02 Mar 2018 - 10:57

385

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Bound on the solution of a constrained least squares problem

Published on 22 Mar 2026 - 15:23

74

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Transformation of probability distribution under optimization

Published on 25 Mar 2026 - 9:23

268

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Radius of largest sphere about a point in a convex hull

Published on 02 Mar 2018 - 16:01

353

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Gradient descent proof: show that $f(x^k) - f(x^) \leq \|x^0 - x^\|_2^2/2\alpha k$

Published on 25 Mar 2026 - 4:41

252

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Low-rank matrix satisfying linear constraints linear mapping

Published on 20 Mar 2026 - 7:11

52

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Prove that $f^{*}(y) =\frac{\|y\|^q}{q}$; $\frac{1}{p}+\frac{1}{q}=1$?

Published on 04 Mar 2018 - 0:22

128

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Proving $f(x,y) = |xy| + a(x^2 + y^2)$ is convex for $a \ge 1/2$

Published on 04 Mar 2018 - 5:09

230

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How to get the following concave surrogate function for this function of a vector?

Published on 04 Mar 2018 - 23:58

452

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Kullback–Leibler divergence as Exponential cone

Published on 05 Mar 2018 - 12:23

349

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How to tell a function is convex but not strictly convex?

Published on 06 Mar 2018 - 4:52

205

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How to handle equality constraints in this problem?

Published on 22 Mar 2026 - 8:32

56

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Linear program with $10$ variables

Published on 24 Mar 2026 - 19:01

138

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Is this convexification of non-convex constraint correct?

Published on 24 Mar 2026 - 19:01

List Question

How to obtain a concave surrogate function for $\|\textbf{x}\|^2$ for a given $\|\textbf{x}_0\|$

Sufficient conditions for optimization

Bound on the solution of a constrained least squares problem

Transformation of probability distribution under optimization

Radius of largest sphere about a point in a convex hull

Gradient descent proof: show that $f(x^k) - f(x^) \leq \|x^0 - x^\|_2^2/2\alpha k$

Low-rank matrix satisfying linear constraints linear mapping

Prove that $f^{*}(y) =\frac{\|y\|^q}{q}$; $\frac{1}{p}+\frac{1}{q}=1$?

Proving $f(x,y) = |xy| + a(x^2 + y^2)$ is convex for $a \ge 1/2$

How to get the following concave surrogate function for this function of a vector?

Kullback–Leibler divergence as Exponential cone

How to tell a function is convex but not strictly convex?

How to handle equality constraints in this problem?

Linear program with $10$ variables

Is this convexification of non-convex constraint correct?

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