Sufficient conditions for $ \frac{\sum_{k=1}^N {p_k}G(x+e_k)}{G(x)} $ increases/decreases where $\sum_{k=1}^N p_k e_k = 0 $ and $\sum_{k=1}^N p_k = 1$

score 140 · Answer 8 · 2026-03-25 19:03:43

140

Views

How can I prove that $\mathbb{S}_{+}^n$ is a closed and convex set?

Published on 25 Mar 2026 - 19:03

score 179 · Answer 9 · 2019-01-16 20:11:27

179

Views

Show that the function $|t|^p$ is convex on $\Bbb{R}$

Published on 16 Jan 2019 - 20:11

score 1k · Answer 10 · 2026-03-28 20:07:41

1k

Views

What is the advantage of adding $\log$ Barrier to solve a Linear program?

Published on 28 Mar 2026 - 20:07

score 282 · Answer 11 · 2019-01-17 00:42:19

282

Views

How can I prove that a differentiable pseudoconvex function is also quasiconvex?

Published on 17 Jan 2019 - 0:42

score 439 · Answer 12 · 2026-03-25 08:50:28

439

Views

Proximal Gradient Method Justification - Why Does It Work?

Published on 25 Mar 2026 - 8:50

score 831 · Answer 13 · 2026-03-29 20:38:38

831

Views

How is the dual cone of a subspace its orthogonal complement?

Published on 29 Mar 2026 - 20:38

score 4.2k · Answer 14 · 2019-01-17 17:52:43

4.2k

Views

How to show negative entropy function $f(x)=x\log(x)$ is strongly convex?

Published on 17 Jan 2019 - 17:52

score 141 · Answer 15 · 2026-03-26 22:57:58

141

Views

Subgradient of Entropy

Published on 26 Mar 2026 - 22:57

List Question

Determine $\sup \{xy−x^2/2\mid x\in [-1,1]\}$

Relations between convex objective function and norm between optima.

Proving that $|x|^p$ is convex for $p\in (1,2)$ using second derivative

Show that $A^o$ is convex, balanced, closed in $A'$

When is subadditivity preserved under differentiation?

Find $f$ on $[1,a]$ such that $f \ge x\log x$, $f$ is strictly convex, analytic, and touches $x \log x$ only $n$ times.

Sufficient conditions for $ \frac{\sum_{k=1}^N {p_k}G(x+e_k)}{G(x)} $ increases/decreases where $\sum_{k=1}^N p_k e_k = 0 $ and $\sum_{k=1}^N p_k = 1$

How can I prove that $\mathbb{S}_{+}^n$ is a closed and convex set?

Show that the function $|t|^p$ is convex on $\Bbb{R}$

What is the advantage of adding $\log$ Barrier to solve a Linear program?

How can I prove that a differentiable pseudoconvex function is also quasiconvex?

Proximal Gradient Method Justification - Why Does It Work?

How is the dual cone of a subspace its orthogonal complement?

How to show negative entropy function $f(x)=x\log(x)$ is strongly convex?

Subgradient of Entropy

Trending Questions

Popular # Hahtags

Popular Questions