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Questions tagged [global-optimization]

0 votes
0 answers
72 views

I'm solving an inverse PDE problem by fitting a signed distance function (SDF) to a 2D shape using polynomial approximation (Chebyshev basis). The loss consists of: a boundary loss: $ u = 0 $ on the ...
Roua Rouatbi's user avatar
5 votes
1 answer
481 views

Let $A$ be a non-singular matrix in $\mathbb{R}^{n \times n}$. Let $S^{n-1}$ denote the surface of the unit $n$-sphere in $\mathbb{R}^{n}$. Suppose we know that there exists an $x \in S^{n-1}$ such ...
Kacsa's user avatar
  • 51
2 votes
1 answer
167 views

Let $f: \mathbb{R}^{n} \rightarrow \mathbb{R}_{+}$ be a non-negative and differentiable convex function which vanishes in a non-empty convex set $\Omega$ - possibly unbounded. Usually, when one ...
R. W. Prado's user avatar
2 votes
0 answers
74 views

Given a dataset $X,$ having $p$ features, organize the units $x_i \in X $ into fixed number of clusters $g,$ with fixed cluster size $B.$ Clustering policy: minimize the sum of a linear combination of ...
BiasedBayes's user avatar
3 votes
1 answer
234 views

Suppose we have difficult peak fitting problems where the the users wish to fit asymmetric peaks to their experimental data by the least squares method. One such function is illustrated below: Here $...
ACR's user avatar
  • 943
0 votes
1 answer
115 views

We know there is a necessary condition for the non-negativity of multivariate polynomials in the paper "Sum of Squares Decompositions of Polynomials over their Gradient Ideals with Rational ...
Werther's user avatar
  • 69
1 vote
1 answer
132 views

Let $A, B$ be Banach spaces, and for any $a\in A$, $B_a\in B$ is a measurable subset. Consider the following optimization problem: $$L(a)=\inf_{b\in B_a}\ell(b),$$ where $\ell(b)$ is a infinite-times ...
Jeff 's user avatar
  • 87
3 votes
1 answer
289 views

Let $n$ be any integer greater than $2^{10^6}$. Given any $s\le (\log_2 n)/1000$ integers $1=q_1\le q_2\le \cdots q_{s-1}\le q_s=n$. Prove that $$\min_\ell\left(\sum_{i=1}^\ell q_i\right)\left(\sum_{i=...
Nader Bshouty's user avatar
0 votes
0 answers
75 views

This is an unconstrained convex optimization problem. Let $\mathcal{N}=\left\{1,\ldots,n\right\}$, $2\leq n<\infty$. Suppose there are many strongly convex functions $f_i(x)$, where $x\in\mathbb{R}^...
lzzz's user avatar
  • 1
0 votes
0 answers
125 views

Let $f$ be some given well-behaved function. Consider the following optimization problem overall probability distribution on $[0,1]$ \begin{align} \max_{P_X : X\in [0,1] } \left| \frac{\mathbb{E} [ ...
Boby's user avatar
  • 671
1 vote
1 answer
195 views

Let $\Omega$ be an open bounded subset of $\mathbb{R}^2$ and $f\in L^2(\Omega)$ be a given function. Consider the optimization problem $$\mathrm{min} \int_\Omega u(x) f(x) \,dx\,,$$ where a minimum is ...
mlogm's user avatar
  • 11
0 votes
2 answers
739 views

I have the following optimization problem with cubic constraints, which is hard to solve. Are there any ideas, or related references, of solving such a problem? $$ \begin{array}{ll} \underset {y, z} {\...
Erik's user avatar
  • 21
1 vote
1 answer
292 views

Let $\{\Omega_{j}\}_{j\in\mathbb{N}}$ be a sequence of smooth bounded domains in $\mathbb{C}^{n}$ such that $\Omega_{j}$ converges to a smooth bounded domain $\Omega$ in the sense that the defining ...
Naruto's user avatar
  • 63
1 vote
2 answers
242 views

I am looking for an algorithm to solve the following optimization problem $$\max_{\mathbf{w}}\sum_i\text{sign}(\mathbf{w}^T \mathbf{x}_i)$$ where $\mathbf{w}$ and each $\mathbf{x}_i\in\mathbb{R}^d$. ...
user3750444's user avatar
2 votes
0 answers
165 views

I have asked this question on math.stackexchange.com but even though I gave a bounty, I was not able to receive any answers at all, so I'm posting it here again, hoping that the question is not too ...
alhal's user avatar
  • 429

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