List questions from convex-optimization

Published on 11 Apr 2026 - 5:25

108

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Can Polyak-Lojasiewicz (PL) condition imply local strong convexity?

Published on 12 Apr 2026 - 21:25

47

Views

Simplifying large scale nonlinear numerical optimization problem

Published on 11 Apr 2026 - 20:14

26

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Convert non-convex optimization problems into convex optimization problems

Published on 07 Apr 2026 - 5:52

26

Views

How to avoid a solution of zeros in a quadratic program?

Published on 09 Apr 2026 - 22:49

73

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Closed form solution for least squares with linear constraints problem

Published on 12 Apr 2026 - 20:18

67

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Is this multivariate function convex? And is a Hessian matrix of this form always convex?

Published on 12 Apr 2026 - 17:58

54

Views

Taylor approximation of exponential constraints

Published on 09 Apr 2026 - 8:37

35

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Try to analyze the given function is convex , non-convex, concave or non-concave?

Published on 07 Apr 2026 - 15:05

24

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Given $f$ a convex function, $x_0 \in int(dom(f))$, then the subdifferential $\partial f(x_0)$ has only one point iff $f$ is differentiable in $x_0$.

Published on 28 Mar 2026 - 22:29

54

Views

max-cut from Graph Laplacian

Published on 25 Mar 2026 - 12:52

64

Views

Maximum of $\ell^2$-Norm

Published on 12 Apr 2026 - 8:08

21

Views

Orthogonal Projection onto the Set of Square Matrices with a Unit Trace

Published on 28 Mar 2026 - 14:05

45

Views

Is minimizing the degree of an approximating polynomial convex?

Published on 25 Mar 2026 - 14:24

74

Views

Convexity and uniqueness in trend filtering with spikes

Published on 13 Apr 2026 - 1:35

List Question

Is there a closed form to this quadratic program?

Can Polyak-Lojasiewicz (PL) condition imply local strong convexity?

Simplifying large scale nonlinear numerical optimization problem

Convert non-convex optimization problems into convex optimization problems

How to avoid a solution of zeros in a quadratic program?

Closed form solution for least squares with linear constraints problem

Is this multivariate function convex? And is a Hessian matrix of this form always convex?

Taylor approximation of exponential constraints

Try to analyze the given function is convex , non-convex, concave or non-concave?

Given $f$ a convex function, $x_0 \in int(dom(f))$, then the subdifferential $\partial f(x_0)$ has only one point iff $f$ is differentiable in $x_0$.

max-cut from Graph Laplacian

Maximum of $\ell^2$-Norm

Orthogonal Projection onto the Set of Square Matrices with a Unit Trace

Is minimizing the degree of an approximating polynomial convex?

Convexity and uniqueness in trend filtering with spikes

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