Question

What happens if you apply "gradient descent" to the complex derivative?

score 88 · Answer 1 · 2026-03-30 00:19:53

88

Views

What happens if you apply "gradient descent" to the complex derivative?

Published on 30 Mar 2026 - 0:19

score 260 · Answer 2 · 2026-02-24 13:41:07

260

Views

Why is conjugate gradient descent a better option than gradient descent?

Published on 24 Feb 2026 - 13:41

score 115 · Answer 3 · 2026-03-26 03:12:37

115

Views

Comparing the rate of convergence of steepest descent method

Published on 26 Mar 2026 - 3:12

score 70 · Answer 4 · 2026-03-28 10:40:29

70

Views

Projection onto unit $\ell_2$ ball in explicit form not projection form

Published on 28 Mar 2026 - 10:40

score 36 · Answer 5 · 2026-03-26 06:03:09

36

Views

About minimizing dynamic of a convex function

Published on 26 Mar 2026 - 6:03

score 74 · Answer 6 · 2026-02-23 20:18:52

74

Views

gradient's norm is greater than epsilon, implies the function unbounded?

Published on 23 Feb 2026 - 20:18

score 121 · Answer 7 · 2026-03-25 18:47:04

121

Views

The steepest descent direction constrained to non-negative variables

Published on 25 Mar 2026 - 18:47

score 132 · Answer 8 · 2023-08-08 08:09:02

132

Views

Gradient descent minimum step size

Published on 08 Aug 2023 - 8:09

score 48 · Answer 9 · 2023-08-08 19:50:30

48

Views

What is the form of the gradient with respect to a complex matrix?

Published on 08 Aug 2023 - 19:50

score 33 · Answer 10 · 2026-03-22 11:04:35

33

Views

Help understanding convergence proof (Momentum algorithm)

Published on 22 Mar 2026 - 11:04

score 25 · Answer 11 · 2026-03-29 22:28:35

25

Views

Is it possible to change a weight matrix $W$ so it minimize a vector $J$?

Published on 29 Mar 2026 - 22:28

score 47 · Answer 12 · 2026-03-26 22:13:50

47

Views

Coefficient for the gradient term in stochastic gradient descent (SGD) with momentum

Published on 26 Mar 2026 - 22:13

score 13 · Answer 13 · 2026-02-28 22:16:51

13

Views

Convergence of stochastic approximation with markov chain input and some nontrivial dependence on input?

Published on 28 Feb 2026 - 22:16

score 63 · Answer 14 · 2023-09-06 19:03:54

63

Views

Seeking Proof for Geometric Optimality Condition in Constrained Optimization

Published on 06 Sep 2023 - 19:03

score 100 · Answer 15 · 2023-09-22 10:11:44

100

Views

How to use co-coercity property to prove $\|x_k - x^* \|\leq (\frac{L-m}{L+m})^k \|x_0 - x^*\|$ for steepest descent with $\alpha = \frac{2}{L+m}$?

Published on 22 Sep 2023 - 10:11

List Question

What happens if you apply "gradient descent" to the complex derivative?

Why is conjugate gradient descent a better option than gradient descent?

Comparing the rate of convergence of steepest descent method

Projection onto unit $\ell_2$ ball in explicit form not projection form

About minimizing dynamic of a convex function

gradient's norm is greater than epsilon, implies the function unbounded?

The steepest descent direction constrained to non-negative variables

Gradient descent minimum step size

What is the form of the gradient with respect to a complex matrix?

Help understanding convergence proof (Momentum algorithm)

Is it possible to change a weight matrix $W$ so it minimize a vector $J$?

Coefficient for the gradient term in stochastic gradient descent (SGD) with momentum

Convergence of stochastic approximation with markov chain input and some nontrivial dependence on input?

Seeking Proof for Geometric Optimality Condition in Constrained Optimization

How to use co-coercity property to prove $\|x_k - x^* \|\leq (\frac{L-m}{L+m})^k \|x_0 - x^*\|$ for steepest descent with $\alpha = \frac{2}{L+m}$?

Trending Questions

Popular # Hahtags

Popular Questions