List questions from convex-optimization

Published on 15 Apr 2026 - 21:47

85

Views

min max optimization over compact sets

Published on 13 Apr 2026 - 11:59

101

Views

Quadratic optimization problem with positive semidefiniteness constraint

Published on 08 Apr 2026 - 19:03

40

Views

Control Design Problem with continue and discrete signals;

Published on 08 Apr 2026 - 22:41

221

Views

Does $\partial_{\varepsilon_k} f(x^k)$ approximate $ \partial f (\bar{x})$ for $ x^k \to \bar{x} $ and $\varepsilon_{k} \to 0 $?

Published on 15 Apr 2026 - 17:41

1.3k

Views

Bound gradient norm during gradient descent for smooth convex optimization.

Published on 15 Apr 2026 - 0:31

173

Views

Optimization with a linear and a max function

Published on 11 Apr 2026 - 19:55

179

Views

Is Lagrangian relaxation convexity optimization problem or not?

Published on 10 May 2026 - 21:19

202

Views

Converting a LP problem to standard form

Published on 12 Apr 2026 - 12:08

27

Views

Complexity bound for a quadratic convergence method

Published on 10 Apr 2026 - 9:51

246

Views

An extension of subgradients method for nonsmooth convex optimization

Published on 11 Apr 2026 - 9:29

153

Views

Proving inequality using absolute value

Published on 11 Apr 2026 - 16:08

63

Views

proving extreme points of closed convex sets don't have nontrivial convex combinaton

Published on 16 Apr 2026 - 15:14

196

Views

Explanation needed for coupling constraints

Published on 09 Apr 2026 - 13:34

1.3k

Views

maximum of a linear function on a convex set

Published on 10 Apr 2026 - 23:30

List Question

Optimize quadratic form weighted Gram matrix

min max optimization over compact sets

Quadratic optimization problem with positive semidefiniteness constraint

Control Design Problem with continue and discrete signals;

Does $\partial_{\varepsilon_k} f(x^k)$ approximate $ \partial f (\bar{x})$ for $ x^k \to \bar{x} $ and $\varepsilon_{k} \to 0 $?

Bound gradient norm during gradient descent for smooth convex optimization.

Optimization with a linear and a max function

Is Lagrangian relaxation convexity optimization problem or not?

Converting a LP problem to standard form

Complexity bound for a quadratic convergence method

An extension of subgradients method for nonsmooth convex optimization

Proving inequality using absolute value

proving extreme points of closed convex sets don't have nontrivial convex combinaton

Explanation needed for coupling constraints

maximum of a linear function on a convex set

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