Question

How to be sure that Newtons method converge to find the optimal solution for a strictly convex one-variable function?

score 190 · Answer 1 · 2026-04-12 11:24:36

190

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How to be sure that Newtons method converge to find the optimal solution for a strictly convex one-variable function?

Published on 12 Apr 2026 - 11:24

score 62 · Answer 2 · 2026-04-13 20:23:50

62

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Let $f : U \to \mathbb{R}$ a convex function on $U$ (an open convex set of $\mathbb{R}^d$) which is

Published on 13 Apr 2026 - 20:23

score 126 · Answer 3 · 2026-04-16 15:18:48

126

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Convergence of gradient descent without bounded level set

Published on 16 Apr 2026 - 15:18

score 172 · Answer 4 · 2026-04-10 19:54:44

172

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Why does any dual optimal point provide a separating hyperplane between a point and its projection on a convex set?

Published on 10 Apr 2026 - 19:54

score 909 · Answer 5 · 2026-04-09 02:53:58

909

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L1 Norm Optimization Solution

Published on 09 Apr 2026 - 2:53

score 107 · Answer 6 · 2026-04-10 15:37:45

107

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Is this problem convex?

Published on 10 Apr 2026 - 15:37

score 241 · Answer 7 · 2026-04-11 08:38:51

241

Views

Is the following optimization problem convex? something like a cosine similarity measure.

Published on 11 Apr 2026 - 8:38

score 155 · Answer 8 · 2026-05-10 15:43:23

155

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Why is the matrix completion objective non-convex?

Published on 10 May 2026 - 15:43

score 44 · Answer 9 · 2026-04-15 11:28:52

44

Views

Proof that every global minima is also a bistable point

Published on 15 Apr 2026 - 11:28

score 77 · Answer 10 · 2026-04-12 18:49:54

77

Views

Analyzing the convergence/iteration complexity of an algorithm with geometric convergence

Published on 12 Apr 2026 - 18:49

score 1k · Answer 11 · 2026-04-09 08:03:46

1k

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Solving the multi-dimensional scaling problem in CVXPY

Published on 09 Apr 2026 - 8:03

score 83 · Answer 12 · 2026-04-09 20:38:15

83

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linear, affine and convex subsets: which is more restricted?

Published on 09 Apr 2026 - 20:38

score 46 · Answer 13 · 2026-04-14 00:21:09

46

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The convexity of the smoothed version of a convex function

Published on 14 Apr 2026 - 0:21

score 54 · Answer 14 · 2026-04-13 13:04:55

54

Views

Proof that $x(\mu)$ and $\lambda(\mu)$ are global minimizers to barrier function if functions are convex

Published on 13 Apr 2026 - 13:04

score 27 · Answer 15 · 2026-04-14 21:40:39

27

Views

Solving sequences of related convex optimisation problems

Published on 14 Apr 2026 - 21:40

List Question

How to be sure that Newtons method converge to find the optimal solution for a strictly convex one-variable function?

Let $f : U \to \mathbb{R}$ a convex function on $U$ (an open convex set of $\mathbb{R}^d$) which is

Convergence of gradient descent without bounded level set

Why does any dual optimal point provide a separating hyperplane between a point and its projection on a convex set?

L1 Norm Optimization Solution

Is this problem convex?

Is the following optimization problem convex? something like a cosine similarity measure.

Why is the matrix completion objective non-convex?

Proof that every global minima is also a bistable point

Analyzing the convergence/iteration complexity of an algorithm with geometric convergence

Solving the multi-dimensional scaling problem in CVXPY

linear, affine and convex subsets: which is more restricted?

The convexity of the smoothed version of a convex function

Proof that $x(\mu)$ and $\lambda(\mu)$ are global minimizers to barrier function if functions are convex

Solving sequences of related convex optimisation problems

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