List questions from convex-optimization

Published on 25 Mar 2026 - 8:31

76

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Minimizing $\ell_p$ norm on a flat - what type of convex programming subproblem is this?

Published on 27 Mar 2026 - 2:59

107

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Write $\log(\cdot) \le -\exp(\cdot)$ in the DCP form

Published on 22 Mar 2026 - 23:57

632

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Why isn't this function affine?

Published on 11 Jun 2019 - 3:40

126

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convexity of negative log likelihood under constraints

Published on 11 Jun 2019 - 4:07

1.2k

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Steepest descent for the quadratic norm?

Published on 12 Jun 2019 - 17:05

182

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How is $x = -\text{sign}(c_i)e_i$ the solution to minimize $c^T x$ subject to $\|x\|_1 \le 1$?

Published on 13 Jun 2019 - 14:59

324

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Why is the constraint $\mbox{rank} (X) \leq r$ non-convex?

Published on 26 Mar 2026 - 5:43

207

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Function whose graph is a cone

Published on 26 Mar 2026 - 9:45

123

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Convexity in single variable

Published on 27 Mar 2026 - 3:48

227

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Does it make sense to talk about minimization of an objective function over function spaces?

Published on 28 Mar 2026 - 10:03

270

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Maximize an unweighted sum given a weighted sum

Published on 25 Mar 2026 - 8:07

381

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Minimizing a Linear Function Over a Halfspace

Published on 30 Mar 2026 - 18:12

41

Views

Formalizing an algorithm that approaches to the point that is the closest to all minimizers of a several strictly convex functions?

Published on 15 Jun 2019 - 6:03

78

Views

Online Optimization with long-term cost

Published on 28 Mar 2026 - 10:03

List Question

Demostration involving second order (lorentz) cone and semi-definite matrix

Minimizing $\ell_p$ norm on a flat - what type of convex programming subproblem is this?

Write $\log(\cdot) \le -\exp(\cdot)$ in the DCP form

Why isn't this function affine?

convexity of negative log likelihood under constraints

Steepest descent for the quadratic norm?

How is $x = -\text{sign}(c_i)e_i$ the solution to minimize $c^T x$ subject to $\|x\|_1 \le 1$?

Why is the constraint $\mbox{rank} (X) \leq r$ non-convex?

Function whose graph is a cone

Convexity in single variable

Does it make sense to talk about minimization of an objective function over function spaces?

Maximize an unweighted sum given a weighted sum

Minimizing a Linear Function Over a Halfspace

Formalizing an algorithm that approaches to the point that is the closest to all minimizers of a several strictly convex functions?

Online Optimization with long-term cost

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