Question

How to prove the convexity of this set by the definition of convex set？

score 481 · Answer 1 · 2020-02-27 16:42:47

481

Views

How to prove the convexity of this set by the definition of convex set？

Published on 27 Feb 2020 - 16:42

score 145 · Answer 2 · 2020-02-27 22:09:01

145

Views

Whether the following function is convex or not？

Published on 27 Feb 2020 - 22:09

score 167 · Answer 3 · 2026-03-28 15:19:01

167

Views

Lagrange multiplier optimality condition

Published on 28 Mar 2026 - 15:19

score 349 · Answer 4 · 2026-03-26 11:08:42

349

Views

How to minimize $\sum_{i=1}^p (y_i-x_i)^2$ with constraints $\sum_{i=1}^p y_i - 1 =0$ and $\forall i=\overline{1,p}:-y_i \le 0$?

Published on 26 Mar 2026 - 11:08

score 215 · Answer 5 · 2020-02-28 05:51:19

215

Views

Is $xx^T$ the Hessian of anything?

Published on 28 Feb 2020 - 5:51

score 60 · Answer 6 · 2020-02-28 06:55:04

60

Views

Function on interval

Published on 28 Feb 2020 - 6:55

score 1.5k · Answer 7 · 2020-02-28 12:56:16

1.5k

Views

Calculating the Fenchel Conjugate

Published on 28 Feb 2020 - 12:56

score 620 · Answer 8 · 2026-03-30 06:15:53

620

Views

Is the product of positive real numbers convex?

Published on 30 Mar 2026 - 6:15

score 61 · Answer 9 · 2026-03-26 11:08:42

61

Views

Minimize $\frac{1}{2}\sum_{i=1}^p (y_i-x_i)^2$ such that $\sum_{i=1}^p y_i - 1=0$ and $\forall i \in [\![ p ]\!]: -y_i \le 0$ by KKT method

Published on 26 Mar 2026 - 11:08

score 51 · Answer 10 · 2026-03-26 11:08:42

51

Views

Minimize $\sum_{i=1}^p (y_i-x_i)^2 $ such that $\sum_{i=1}^{p'} y_i^2 - R^{2} \le 0$

Published on 26 Mar 2026 - 11:08

score 115 · Answer 11 · 2026-03-28 05:22:01

115

Views

On modifying the gradient in gradient descent when the objective function is not convex nor does it have Lipschitz gradient.

Published on 28 Mar 2026 - 5:22

score 313 · Answer 12 · 2026-03-25 14:00:36

313

Views

Need help solving a min-max fixed point equation

Published on 25 Mar 2026 - 14:00

score 316 · Answer 13 · 2026-03-29 08:14:46

316

Views

Is the sequence $(x_n)$ in Gradient Descent algorithm always convergent?

Published on 29 Mar 2026 - 8:14

score 253 · Answer 14 · 2026-03-29 08:14:51

253

Views

How to get this inequality in Gradient Descent algorithm?

Published on 29 Mar 2026 - 8:14

score 85 · Answer 15 · 2020-03-01 00:13:50

85

Views

On a reference request for a converge theorem regarding gradient descent.

Published on 01 Mar 2020 - 0:13

List Question

How to prove the convexity of this set by the definition of convex set？

Whether the following function is convex or not？

Lagrange multiplier optimality condition

How to minimize $\sum_{i=1}^p (y_i-x_i)^2$ with constraints $\sum_{i=1}^p y_i - 1 =0$ and $\forall i=\overline{1,p}:-y_i \le 0$?

Is $xx^T$ the Hessian of anything?

Function on interval

Calculating the Fenchel Conjugate

Is the product of positive real numbers convex?

Minimize $\frac{1}{2}\sum_{i=1}^p (y_i-x_i)^2$ such that $\sum_{i=1}^p y_i - 1=0$ and $\forall i \in [\![ p ]\!]: -y_i \le 0$ by KKT method

Minimize $\sum_{i=1}^p (y_i-x_i)^2 $ such that $\sum_{i=1}^{p'} y_i^2 - R^{2} \le 0$

On modifying the gradient in gradient descent when the objective function is not convex nor does it have Lipschitz gradient.

Need help solving a min-max fixed point equation

Is the sequence $(x_n)$ in Gradient Descent algorithm always convergent?

How to get this inequality in Gradient Descent algorithm?

On a reference request for a converge theorem regarding gradient descent.

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