Skip to main content

All Questions

Filter by
Sorted by
Tagged with
9 votes
2 answers
603 views

Book for matroid polytopes

I have made a study of polytopes with the books of Ziegler and "Integer Programming" of Conforti, my main goal is to study matroid polytopes; to study matroids I have thought about the book &...
Wrloord's user avatar
  • 251
3 votes
1 answer
255 views

Is this constraint convex?

I have an optimization problem where the following constraint causes DCP Rule Error. $$e^{x_n} \leq B \log _2\left(1+\frac{e^{\rho_n} g_n^2}{\sum_{i=1}^{n-1} e^{\...
Mojtaba's user avatar
  • 31
0 votes
0 answers
129 views

Primal optimal attained implies dual optimal attained

Given some optimization problem $$\min_{x \in S \subset \mathbb{R}^n} f_0(x) \quad \text{s.t.} \quad f_i(x) \leq 0, \quad 1\leq i\leq m$$ we can find the dual problem $$\max_{\lambda\in\mathbb{R}^m} g(...
patchouli's user avatar
  • 275
0 votes
1 answer
169 views

How to integrate an indicator function/constraint into the cost function of a linear program?

I have a mathematical model $P$ for which I optimize two cost functions say $F_1$ and $F_2$ subject to a set of constraints $C1$–$C10$. In $F_2$, I want it to be included only when its expression ...
LyLa's user avatar
  • 3
3 votes
1 answer
370 views

Convex optimization without Slater's condition

In nearly all convex optimization methods that I read about, it is assumed that the problem satisfies Slater's condition, that is, there is a point that strictly satisfies all constraints (the ...
Erel Segal-Halevi's user avatar
0 votes
0 answers
164 views

Inf-convolution of norm 1 and norm 2 square

The inf-convolution of the functions $f$ and $g$ defined on $\mathbb{R}^n$ is $$ h(x)=\inf _{y \in \mathbb{R}^n} f(y)+g(x-y) . $$ We can prove that if $f,g$ are convex functions, then $h$ is convex. ...
Pipnap's user avatar
  • 129
2 votes
1 answer
131 views

Estimating $\max_{\|u\|=1} \frac{ E\left[\langle u\cdot x\rangle ^4\right]}{E\left[\langle u\cdot x\rangle ^2\right]}$

Suppose we have access to samples of $x$ distributed according to unknown multivariate Gaussian in $\mathbb{R}^d$. Estimate the following quantity: $$\max_{\|u\|=1} \frac{ E\left[\langle u\cdot x\...
Yaroslav Bulatov's user avatar
4 votes
2 answers
485 views

How to get this inequality in Santambrogio's book about optimal transport?

Let $\hat{\varrho}, \tilde{\varrho}$ be probability density functions on $\mathbb R^d$ where $\tilde{\varrho} \in L^{\infty} (\mathbb R^d)$. For $\varepsilon \in [0, 1]$, we define $\varrho_{\...
Akira's user avatar
  • 835
0 votes
0 answers
73 views

Computationally efficient solution for the measure of central tendency minimizing Lp loss for p > 1

We know that the measure of central tendency that minimizes the Lp loss is $\min_c \sum_{i=1}^n |x_i - c|^p$ For $p=1$ (L1 loss), this is the median. For $p=2$ (L2 loss), this is the mean. Both of ...
olivarb's user avatar
  • 109
2 votes
1 answer
159 views

Conic hull of a rectangle

I have a simple question that appeared in research: For a rectangle $S :=[a_1,b_1] \times[a_2,b_2] \times \dots \times [a_n,b_n] \subset \mathbb{R}^n$. Let $p_0 = (a_1,a_2,\dots,a_n)$, and define $p_i ...
patchouli's user avatar
  • 275
2 votes
0 answers
178 views

Regularity of linear Bellman equation

Let $f(x,t):B_1 \times [0,1] \to \mathbb{R}$ be Lipschitz function on both $x$ and $t$, $\varphi$ be Lipschitz function on both $x$ and $t$ on the parabolic boundary of $B_1 \times [0,1]$. Let $A$ be ...
mnmn1993's user avatar
0 votes
1 answer
134 views

Existence of cyclic subspace decompositions for pairs of commuting matrices

Let $\mathbb{K}$ be an arbitrary field (possibly finite). Let $V$ be a finite-dimensional vector space over $\mathbb{K}$, and let $A,B$ be two linear endomorphisms of $V$ which commute. For $v\in V$, ...
Abdelmalek Abdesselam's user avatar
0 votes
1 answer
28 views

Calculating vertex potentials from optimal matchings

Question: can the solution to the dual of a Linear Program be calculated directly from the solution of the primal Linear Program? If yes, what are known algorithms and their bounds on complexity. As ...
Manfred Weis's user avatar
  • 13.2k
2 votes
0 answers
147 views

Graph Laplacians, Riemannian manifolds, and object collisions

To preface this question, I am a part-time game developer and full-time optimization fiend. I am working on object collisions at the moment and many resources I have found online are more-or-less just ...
HeyoItsMateo's user avatar
1 vote
0 answers
168 views

Optimal transport-like problem where the objective depends on conditional probability distribution

$\DeclareMathOperator\marg{marg}$I would like to know if the following problem can be studied as an optimal transport problem, possibly imposing additional assumptions on the data. Consider two sets $\...
Francesco Bilotta's user avatar
13 votes
2 answers
1k views

Optimal search puzzle

Consider the following puzzle: On the integer line from 1 to $t$ (top, let's say 1000 for this example), you have two operators: uniform random on 1 to $t$, and subtract 1. What is the optimal ...
jackisquizzical's user avatar
1 vote
1 answer
84 views

optimization over moving domains

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
0 votes
1 answer
140 views

nonlinear equation problem

Can you please help me solve the following nonlinear equation to determine the value of the vector $z$ : $$ \boldsymbol{a}=\boldsymbol{z}^{2} \odot \boldsymbol{K}*\boldsymbol{z}^{-1}$$ Where: $\...
Iman Nodozi's user avatar
1 vote
0 answers
94 views

Linear Program Optimal Value

If $f(A,b,c)$ is the optimal value of a linear program $\min c.x$ subject to $A.x \leq b ; x \geq 0.$ Does $f(A,b,c)$ have a piecewise polynomial/rational upper bound in $(A,b,c)$ on the domain of ...
Pathikrit Basu's user avatar
1 vote
0 answers
70 views

LICQ vs MFCQ who is stronger [closed]

I want to ask you which constraint is stronger: MFCQ or LICQ.
zak.Ryd's user avatar
  • 11
0 votes
1 answer
114 views

Mixed integer program and continuous Diophantine approximation

Let $n\in\mathbb{N}$ such that $n\geq 2$ and let $0<r<1$ be a real number. We wish to solve the following problem. $$\min_{(t,(z_j)_{j=2}^n) \in \mathbb{R}\times \mathbb{Z}^{n-1}} t$$ subject to ...
Pathikrit Basu's user avatar
0 votes
0 answers
68 views

Optimal top-k column subset

Let $V$ be a set of vectors over $\mathbb{R}^l$, $l\ge 1$, $\pi_i(V)$ be the permutation of vectors in $V$ such that they are ordered by their $i$th component (descending) in order for $\pi_i(V)(\...
Eli Bixby's user avatar
  • 101
2 votes
1 answer
274 views

Can we say this nonlinear integer programming problem is NP-hard?

I was wondering if the following nonlinear integer programming problem is NP-hard or not. $$\max_{x_i \in \{0,1\}} \frac{\sum_{i=1}^{n}a_i x_i}{\sqrt{\sum_{i=1}^{n}b_i x_i}}$$ such that $\sum_{i=1}^{n}...
Anson's user avatar
  • 21
0 votes
0 answers
201 views

How expensive is a proximal operation?

In optimization, a proximal step is usually considered as cheap as a gradient step. I'm quite confused by this. Why are people taking this convention at all? A typical proximal step indeed incurs a ...
T. W.'s user avatar
  • 31
2 votes
1 answer
241 views

Is the problem of vertex enumeration from an H-representation of a polytope NP-hard?

According to the Wikipedia page on the issue, the vertex enumeration problem is NP-hard. However, double description and reverse linear search are algorithms listed to solve the problem. Moreover, ...
Makogan's user avatar
  • 123
5 votes
0 answers
202 views

Difficulty of solving $Ax=b$ in terms of limiting spectral density of $A$?

Suppose $A$ is a random real-valued $n\times n$ matrix and we want to know the difficulty of solving $Ax=b$ when entries of $b$ are sampled IID from Normal$(0,1)$. Can we say anything about the ...
Yaroslav Bulatov's user avatar
1 vote
1 answer
521 views

Optimal transport between two matrices

I'm investigating the use of optimal transport to define a distance between non-negative matrices that satisfy the condition $\mathbf e^\top\mathbf M\mathbf e = 1$ (i.e., the sum of all elements in ...
Peyman's user avatar
  • 243
0 votes
0 answers
55 views

Relationship of optimal solutions between the total function and the sub function

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
85 views

Show that $\max_{P_X : X\in (0,1) } \left| \frac{\mathbb{E} [ f'(X) ]}{ \mathbb{E} [ f(X) ] } \right|$ is maximized by at most two mass points

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
69 views

$A^*$ algorithm to find shortest path when weights in my graph are the inverse of distance

Given a graph G=(V,E) where the weights on my edges are inverse of Euclidian distance between nodes, I want to know if I can use A* algorithm to find the shortest path. How I need to modify the ...
user2512443's user avatar
1 vote
1 answer
119 views

Optimization on non-convex set

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
0 answers
88 views

How to solve mckp (multiple-choice knapsack problem) problem with non-linear constraint

How to solve the below optimization problem? $P$ is a probability matrix, $0\le P_{ij}\le 1$. Are there any developed tools to solve this? Thanks a lot. \begin{equation*} \begin{aligned} &\...
Yi-Yu Peng's user avatar
3 votes
1 answer
149 views

How to turn $\{-1, 0, 1\}$-valued optimization problem into integer program?

For an $n \times n$ matrix $M$, the $\infty\to 1$ and cut norms are given by $$\|M\|_{\infty \to 1} := \max\limits_{x, y \in \{\pm 1\}^n} \sum\limits_{i, j} m_{i, j} x_i y_j, \qquad \|M\|_{\square} :=...
Display name's user avatar
2 votes
1 answer
183 views

Exponential optimization problem

\begin{eqnarray} \arg\max_{k}\sum_{i=1}^{p}\sum_{j=1}^{p}\exp\left(-{\frac{\left(X(i,j)-{U_k}(i,j)\right)^2}{2}}\right),\:\: k=0,\dots,p \end{eqnarray} where $X$ and $U_k$ are the $p\times p$ matrices,...
Ham's user avatar
  • 21
1 vote
0 answers
36 views

Minimizing a ratio related to scalar subset sums

Let $a = (a_1, a_2, \cdots, a_n)$ be non-zero real numbers. Let $[n] = \{1,2,\cdots,n\}$ be a set of indices. Define the maximum absolute subset sum of the array $a$ as: $$\mathrm{MASS}(a) = \max_{T \...
Nango's user avatar
  • 11
2 votes
1 answer
263 views

The best probability distribution for the game of Number Master

In the game of Number Master, the player controls a number starting with $1$ and hits the other numbers one by one on the road. If the player hits a number smaller or equal to the current controlling ...
Y. Yang's user avatar
  • 53
3 votes
1 answer
249 views

Interesting question about the Thomson problem for arbitrary number of electrons

This question is crossposted from here I believe this is a pretty hard question and so I decided to repost the question in the Math Overflow forum. If there is something wrong with doing this, I am ...
Rodrigo's user avatar
  • 51
5 votes
1 answer
265 views

Equivalence of bounded gradient flow solutions and uniformly bounded gradient descent trajectories for definable functions

I am reading paper [1] by C. Josz regarding the global convergence of the gradient method. The main result is the following: $\textbf{Theorem}$: For a definable differentiable function $f : \mathbb{R}^...
A.M.'s user avatar
  • 171
3 votes
0 answers
182 views

Asymptotics for optimal survival time in a stochastic control problem

An individual, henceforth called the runner starts at the center of an open ball $\Omega_r \subset \mathbb R^2$ of radius $r > 1$. At each turn, a vector $x \in S^1$ is chosen uniformly at random, ...
Nate River's user avatar
  • 6,155
0 votes
2 answers
531 views

Any idea of solving an optimization problem with cubic constraints?

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
3 votes
3 answers
279 views

How to convexify or reformulate this non-convex MIP?

I am interested in this non-convex mixed-integer program: \begin{array}{cl} \displaystyle\min_{(x_{i},y_{i})\in\mathbb{Z}^{+}\times\mathbb{Z}^{+}}&\displaystyle\sum_{i=1}^{K}y_{i}\left(\...
SPARSE's user avatar
  • 35
1 vote
0 answers
70 views

Expressing a double Riemann Sum as a definite integral

I am reading a paper where the authors rewrite the following expression (for a continious function $\alpha$) into an integral: $$\lim_{n\to \infty} \left(\min_{1\leq j \leq n}\left(\sum_{k=1}^{j-1} \...
AspiringMat's user avatar
4 votes
0 answers
243 views

Schrödinger Bridge for other costs

Stochastic control formulations of the Schrödinger bridge problem between $\mu,\nu$ are well known (e.g Chen et al Eq. 4.23) $$\inf \limits_{p_t, v_t} \int_0^T \int \frac{1}{2}\lvert v_t\rvert^2 p_t ...
nico's user avatar
  • 101
0 votes
1 answer
199 views

Leech lattice shortest vector vs other 23 cases and E8 cases

In this paper by Viazovska, she said that: "The E8-lattice sphere packing 𝒫E8 is the union of open Euclidean balls with centers at the lattice points and radius $1/\sqrt{2}$." So I think ...
zeta's user avatar
  • 447
2 votes
0 answers
93 views

Curve fitting with "rough" loss functions

Many real-valued classification and regression problems can be framed as minimization in the following way. Setup: Let $\Theta \in \mathbb{R}^p$ be the parameter space that we are searching over. For ...
Simon Kuang's user avatar
5 votes
1 answer
212 views

Upper bound for an inverse Laplace transform

Can anyone see how to get a tight upper bound for the function defined in terms of the inverse Laplace transform below? $$g_\text{sgd}(t)=\mathcal{L}^{-1}\left[\left(\frac{s}{2}+\frac{5 \sqrt{\frac{2}{...
Yaroslav Bulatov's user avatar
1 vote
0 answers
52 views

On Designing Some Optimal Control Problems

In the context of a dynamical systems, some states may not be attainable with scalar controls from $L^1(0,T)$, but they may be reachable with feedback controls. If we know that the system is null ...
elmas's user avatar
  • 55
1 vote
0 answers
43 views

The existence of an optimal distributed control problem

Consider $\Omega$ as a bounded interval of $\mathbb{R}$, and let $y\in L^{\infty}(\Omega \times (0,T))$ be a mild solution of the following parabolic partial differential equation: \begin{equation}\...
elmas's user avatar
  • 55
1 vote
0 answers
113 views

Maximisation of a convex (quadratic) function

This post is a continuation of A variant of (discrete) optimal transport problem For $\alpha=(\alpha_1,\ldots,\alpha_m)\subset\mathbb R^m_+$, $\beta=(\beta_1,\ldots,\beta_n)\subset\mathbb R^n_+$ and $...
Fawen90's user avatar
  • 1,389
3 votes
1 answer
168 views

Condition for 3×3 block matrix to be stable

Given a square symmetric matrix $H\in\mathbb{R}^{n\times n}$, design a symmetric positive definite matrix $M\in\mathbb{R}^{n\times n}$ and positive scalar $\alpha$ such that the following ${3n\times ...
Zishuo's user avatar
  • 33

1 2
3
4 5
32