Question

Norm constrained least square minimization with an additional single linear equality constraint: A quadratically constrained quadratic program (QCQP)

score 1k · Answer 1 · 2026-03-25 01:22:19

1k

Views

Norm constrained least square minimization with an additional single linear equality constraint: A quadratically constrained quadratic program (QCQP)

Published on 25 Mar 2026 - 1:22

score 83 · Answer 2 · 2018-12-07 12:43:32

83

Views

Prove that the dual of the norm approximation problem has the given form.

Published on 07 Dec 2018 - 12:43

score 373 · Answer 3 · 2026-03-25 21:22:18

373

Views

Mirror descent on a 1-ball

Published on 25 Mar 2026 - 21:22

score 145 · Answer 4 · 2018-12-08 06:52:50

145

Views

Determining the dual problem for the primal $\min_{x,t} t$ subject to $x_i\ge1$, $\|x\|_2\le t$, and $x_1+x_2=5$

Published on 08 Dec 2018 - 6:52

score 102 · Answer 5 · 2018-12-08 15:20:18

102

Views

Maximizing $x f(x)$ when $f$ is decreasing but not concave

Published on 08 Dec 2018 - 15:20

score 294 · Answer 6 · 2026-03-25 21:30:57

294

Views

minimize a function using SGD

Published on 25 Mar 2026 - 21:30

score 35 · Answer 7 · 2018-12-09 17:42:23

35

Views

Use simplex method to solve linear programming problem

Published on 09 Dec 2018 - 17:42

score 141 · Answer 8 · 2026-03-25 21:48:12

141

Views

How to imply the vanishing gradient condition in KKT?

Published on 25 Mar 2026 - 21:48

score 198 · Answer 9 · 2026-03-28 06:23:00

198

Views

maximizing concave function with parameter

Published on 28 Mar 2026 - 6:23

score 132 · Answer 10 · 2018-12-11 15:59:54

132

Views

Find subgradient of $f(x)=\max\{f_1(x), f_2(x)\}$

Published on 11 Dec 2018 - 15:59

score 4.6k · Answer 11 · 2026-03-25 21:47:50

4.6k

Views

When is LICQ useful in KKT conditions?

Published on 25 Mar 2026 - 21:47

score 33 · Answer 12 · 2026-03-25 06:05:49

33

Views

McCormick envelope of two variables which are also defined in terms of an envelope

Published on 25 Mar 2026 - 6:05

score 936 · Answer 13 · 2018-12-14 02:28:42

936

Views

How to show directly $\min \frac{1}{2}\|x-z\|_2^2$ has a unique global minimizer over $Ax=b$?

Published on 14 Dec 2018 - 2:28

score 234 · Answer 14 · 2026-03-25 14:46:54

234

Views

How to show $x_* \in R(A^T) +z $ is the global minimizer of $\min \frac{1}{2}\|x-z\|_2^2$ over $Ax=b$?

Published on 25 Mar 2026 - 14:46

score 96 · Answer 15 · 2018-12-15 02:26:16

96

Views

Show that $C \subseteq D$ only if $\sigma_C(x) \leq \sigma_D(x)$ $\forall x \in \mathbb{R}^n$

Published on 15 Dec 2018 - 2:26

List Question

Norm constrained least square minimization with an additional single linear equality constraint: A quadratically constrained quadratic program (QCQP)

Prove that the dual of the norm approximation problem has the given form.

Mirror descent on a 1-ball

Determining the dual problem for the primal $\min_{x,t} t$ subject to $x_i\ge1$, $\|x\|_2\le t$, and $x_1+x_2=5$

Maximizing $x f(x)$ when $f$ is decreasing but not concave

minimize a function using SGD

Use simplex method to solve linear programming problem

How to imply the vanishing gradient condition in KKT?

maximizing concave function with parameter

Find subgradient of $f(x)=\max\{f_1(x), f_2(x)\}$

When is LICQ useful in KKT conditions?

McCormick envelope of two variables which are also defined in terms of an envelope

How to show directly $\min \frac{1}{2}\|x-z\|_2^2$ has a unique global minimizer over $Ax=b$?

How to show $x_* \in R(A^T) +z $ is the global minimizer of $\min \frac{1}{2}\|x-z\|_2^2$ over $Ax=b$?

Show that $C \subseteq D$ only if $\sigma_C(x) \leq \sigma_D(x)$ $\forall x \in \mathbb{R}^n$

Trending Questions

Popular # Hahtags

Popular Questions