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total unimodularity of a matrix

Let G be the node-arc incidence matrix of a given directed network (rows of $G$ correspond to nodes and its columns correspond to arcs). Let $B_1,\dots, B_K$ denote a partition of the nodes of the ...
Ozzy's user avatar
  • 393
6 votes
1 answer
609 views

Attempt at applying linear programming to the partial sums of the Möbius inverse of the Harmonic numbers

Let $a(n)$ be the Dirichlet inverse of the Euler totient function: $$a(n) = \sum\limits_{d|n} d \cdot \mu(d) \tag{1}$$ and let the matrix $T(n,k)$ be: $$T(n,k)=a(\gcd(n,k)) \tag{2}$$ It has been ...
Mats Granvik's user avatar
  • 1,183
1 vote
1 answer
130 views

find a PSD matrix that that verify matrices sum of equality

$A $, $ C$ $(n,n)$ are symmetric PSD matrices, $B$ is PD symmetric matrix, and $H_i$ $\; $ $(i=[1,m])$ represent $ m $ complex matrices. $H_i$ are all one rank matrix Our objectif is to find ...
hichem hb's user avatar
  • 377
2 votes
2 answers
422 views

Algorithm to determine if a union of half-spaces is all of $\mathbb{R}^d$

I have a collection of closed half-spaces $H_1, \dots, H_n \subseteq \mathbb{R}^d$, each given as $H_i = \{x \in \mathbb{R}^d : a_i \cdot x \geq c_i\}$ for some $a_i \in \mathbb{R}^d$ and $c_i \in \...
diracdeltafunk's user avatar
0 votes
1 answer
405 views

Computing discrete optimal transport

I am trying to find a combinatorial approach to solve the following optimization problem. \begin{align} &\max_{x_{ij}} C_{ij} x_{ij}, \\ &\text{such that},\\ &\sum_{j} x_{ij} \leq r_i~\...
Soumya Basu's user avatar
4 votes
1 answer
204 views

Reference: Packing under translation is in NP

I am looking for a reference for a result that I am aware of. Let me describe the result. Given a polygon $C$ and polygons $p_1,\ldots,p_n$, it can be decided in NP time, if $p_1,\ldots,p_n$ can be ...
Till's user avatar
  • 479
6 votes
1 answer
779 views

If $\ell_0$ regularization can be done via the proximal operator, why are people still using LASSO?

I have just learned that a general framework in constrained optimization is called "proximal gradient optimization". It is interesting that the $\ell_0$ "norm" is also associated with a proximal ...
ArtificiallyIntelligent's user avatar
1 vote
0 answers
163 views

Can we reduce the maximization of this integral to the maximization of the integrand?

I would like to know whether we are able to reduce the following optimization problem to the pointwise optimization of the integrand (or how we can solve it otherwise): Maximize $$\sum_{i\in I}\sum_{j\...
0xbadf00d's user avatar
  • 167
0 votes
1 answer
99 views

Finding dual of a scheduling LP formulation

Suppose I have an LP formulation as such: $\min\ \ \sum\limits_{i,j,t}\ w_{ij}x_{ijt} (\frac{t-r_j}{p_{ij}}+0.5)$ $\sum\limits_{i,t}\frac{x_{ijt}}{p_{ij}}=1\,\forall\ j$ $\sum\limits_{j}x_{ijt}\leq ...
user_1_1_1's user avatar
0 votes
1 answer
113 views

How do I solve this integer programming problem with non convex constraints?

I am not sure if this is the right place to post this question, please point me to the correct forum if I posted in a wrong place. I have an optimization problem like this ...
Aaron_Geng's user avatar
0 votes
0 answers
101 views

How can we analytically solve this max-sum-min problem?

Let $I$ be a finite set, and $A_{ij},B_{ij},x_i,y_j\ge0$. I want to find the choice of $x_i,y_j$ maximizing $$\sum_{i\in I}\sum_{j\in J}A_{ij}\min\left(x_i,B_{ij}y_j\right)\tag1$$ subject to $$\sum_{i\...
0xbadf00d's user avatar
  • 167
0 votes
1 answer
61 views

Variant of the linear programming problem

Good afternoon, my experience in mathematical programming is low. I would like to know if there is any general method to address the following problem: $$\text{Minimize }\sum_{i=1}^n d_i(x_j)$$ $$s.a....
Rusbert's user avatar
  • 193
2 votes
0 answers
148 views

Generalization of Farkas' Lemma to Hermitian Matrices

I recently stumbled upon a well-known version of Farkas' Lemma which, roughly speaking, I would like to generalize from real vectors to hermitian matrices, as it seems promising for something else I ...
Frederik vom Ende's user avatar
0 votes
0 answers
35 views

Converting a vector in a cone statement to inequality constraints

I would like to convert the following condition for $x$ \begin{align} x = N \lambda, \lambda \geq 0 \end{align} to a pure linear inequality form, i.e. find an $L$ and eliminate $\lambda$ \begin{...
Jacob Di's user avatar
1 vote
0 answers
25 views

Weird subspace/equality-constrained LP problem/variant of change-making problem

Assume that we have a set, $\mathscr{R}$ containing $m$-dimensional vectors. Solve $$\sum_{i=1}^n c_i\leq\delta$$ $$\text{subject to } \sum_{i=1}^n r_i c_i=x^\prime \text{ for all }x^\prime$$ where $0\...
Jonathan Lee's user avatar
6 votes
1 answer
861 views

Is Binary Integer Linear Programming solvable in polynomial time?

The paper Solving the Binary Linear Programming Model in Polynomial Time claims that Binary Integer Linear Programming is in P. However, it seems that no subsequent literature in the mainstream has ...
aroyc's user avatar
  • 221
3 votes
1 answer
1k views

Finding the closest special orthogonal matrix in Frobenius norm sense

Given a $3\times3$ matrix $M$, if we would like to get the closest $\mathrm{SO}(3)$ matrix $R$ that minimizes \begin{equation} \|R-M\|_F \end{equation} then $R$ = $UV^{T}$ where $U$ and $V^{T}$ are ...
Karnik Ram's user avatar
1 vote
1 answer
475 views

Sufficient conditions for a system of linear inequalities to admit a solution

I am looking for sufficient conditions such that a system of linear inequalities of the type $A x >0$ admits a non-negative solution $x \in \mathbb{R}^n_+$. I know a few properties of the $m \times ...
Peter's user avatar
  • 355
3 votes
1 answer
275 views

Uniqueness of l1 minimization

Let $A \in \mathbb{R}^{m \times n}$. Is it true that $$\min \limits_{Q \in \mathbb{R}^{n \times m}}|I - QA|_{\infty} < \frac{1}{2}$$ is criteria for the uniqueness of the 1-sparse solution to $\...
love_backups's user avatar
1 vote
0 answers
177 views

Prove that these linear programming problems are bounded by $O(k^{1/2})$ [closed]

The expanded partial sums of the Möbius inverse of the Harmonic numbers have two out of three properties in common with this set of linear programming problems: $$\begin{array}{ll} \text{minimize} &...
Mats Granvik's user avatar
  • 1,183
0 votes
0 answers
232 views

What do square roots as minimums have to do with Harmonic numbers?

In an earlier question where I conjectured (and GH from MO confirmed) that the von Mangoldt function is the limit at s=1 of a certain Dirichlet series: $$\Lambda(m)=\lim_{s\to 1+}\zeta(s)\sum_{d\mid ...
Mats Granvik's user avatar
  • 1,183
3 votes
0 answers
178 views

Uniqueness of projection under spectral norm

I am considering $$ \min_{M\in \mathcal{M}} \|X - M\|:=x \neq 0, $$ where $X$, $M$ are $m\times n$ matrices, $\|\cdot\|$ is spectral norm and $\mathcal{M}$ is a matrix subspace. I wonder to what ...
Doris's user avatar
  • 131
5 votes
1 answer
315 views

On optimal dual solutions for the minimum weight perfect matching problems in the case of metric weights

Following Lovasz-Plummer (Matching theory, North-Holland 1986, Theorem 9.2.1), the minimum weight perfect matching problem on a complete graph $G$ with even number of vertices and weight $w:E(G)\to \...
Mikhail Ostrovskii's user avatar
3 votes
1 answer
244 views

What importance does the Hirsch conjecture have to Simplex Complexity?

The Hirsch conjecture asserts that the graph (i.e. $1$-skeleton) of a $d$-dimensional convex polytope with $n$ facets has diameter at most $n - d$. After being open for decades, Francisco Santos has ...
VS.'s user avatar
  • 1,826
1 vote
0 answers
36 views

Linear programming with a convergent coefficient

The following linear programming problem $x_n = \arg\min c_n'x \mbox{ subject to } Ax<b$ has a changing coefficient $c_n$. We have that $c_n\rightarrow c_*$. What happens to the solution $x_n$? ...
Basca's user avatar
  • 19
2 votes
1 answer
243 views

Does quantifier elimination help here?

Suppose we have a quantified linear program $$\exists z_1,\dots,z_{poly(n)}\in\mathbb R$$ $$\exists u_1,\dots,u_n\in\mathcal P\cap\mathbb R^m$$ $$\forall v_1,\dots,v_n\in\mathcal P\cap\mathbb R^m$$ $$...
VS.'s user avatar
  • 1,826
3 votes
1 answer
152 views

A question about polytopes related to linear programming

Given linear functions $f_1({\bf x}),\dots,f_n({\bf x})$ on ${\bf R}^m$, let $K = \{(a_1,\dots,a_n) \in {\bf R}^n:$ the $n$ halfspaces $\{{\bf x}: f_i({\bf x}) \leq a_i\} $ have nonempty intersection$\...
James Propp's user avatar
  • 19.7k
11 votes
1 answer
404 views

Traveling Salesman Problem on finite group

Given a finite group $H$, define a norm on $H$ to be a function $f : H \rightarrow \mathbb{R}_{\geq 0}$ satisfying: $f(x) = 0 \iff x = e$ is the identity; $\forall x \in H$, we have $f(x) = f(x^{-1})$...
Adam P. Goucher's user avatar
1 vote
0 answers
126 views

Mixed integer formulation of union of polytopes?

Given $t$ different unbounded polyhedra $P_1:A^{(1)}x^{(1)}\leq b^{(1)},\dots,P_t:A^{(t)}x^{(t)}\leq b^{(t)}$ we are looking for the representation of $\bigcup_{i=1}^tP_i$ (not their convex hull) with ...
VS.'s user avatar
  • 1,826
3 votes
1 answer
262 views

What is known about this TSP variant?

Euclidian (planar) TSP asks for a tour with the minimum total length. The problem is known to be NP-hard. I am interested in the variant of finding a closed tour with the minimum enclosed area (...
Mohammad Al-Turkistany's user avatar
0 votes
1 answer
39 views

Gluing simplices through a common point/ realisation of a convex simplicial polytope

Given $m≥d+1$ a positive integer, is it always possible to find m d-dimensional simplices $\Delta_i=\mathrm{Conv}(M,V_{i,1},…,V_{i,d})$ such that 1) they all share the common vertex M 2) the ...
giulio bullsaver's user avatar
1 vote
1 answer
126 views

Quantifier elimination and where is this quantified convex program in the polynomial hierarchy?

I have a quantified convex program of the form that I need to solve $$\exists(x_{1,1},\dots,x_{1,n})\in\mathbb R^n\quad\forall(x_{2,1},\dots,x_{2,n})\in\mathbb R^n$$ $$\vdots$$ $$\exists(x_{2t-1,1},\...
VS.'s user avatar
  • 1,826
7 votes
2 answers
909 views

Formula for volume of a convex polytope

So I've been searching around the internet for some answers to this, but I currently have a set of linear constraints: $Ax = b, Cx \le d$ for matrices $A \in \mathbb{R}^{n \times m}$, $b\in \mathbb{R}^...
Erik's user avatar
  • 81
1 vote
0 answers
24 views

Simple monotonicity property for coordinate descent and linear objective functions

Let $S \subset \mathbb{R}^n$ satisfy $0\leq x_1\leq\dots\leq x_n$ for all $\mathbf{x}\in S$, among other (possibly nonconvex) constraints, and suppose in addition that $\sum_{i=1}^n x_i \geq 1$ for ...
Tom Solberg's user avatar
  • 4,049
0 votes
0 answers
89 views

Why there isn't lexicographically smallest solution to a bounded linear program?

I am learning computational geometry when I run into this confusion. "A bounded 2D linear program may not have a lexicographically smallest solution", as the book says. I wonder why? I think we can ...
Yifu Luo's user avatar
1 vote
0 answers
37 views

Fast certficate of negativity for objective value of mixed-integer linear program

Let $c \in \mathbb R^n$, $A \in \mathbb R^{m \times n}$, $b \in \mathbb R^m$, and $I \subseteq \{1,2,\ldots,n\}$. Consider the Mixed integer linear program (MILP) $$ \begin{split} f^* = &\max \; ...
dohmatob's user avatar
  • 6,853
2 votes
1 answer
270 views

What optimization problems have solutions with few nonzeros?

Consider the following optimization problem, with $n$ variables and $m$ linear constraints: \begin{align} \text{maximize} && c_1 x_1 + \cdots + c_n x_n & \\ \text{subject to} && a_{...
Erel Segal-Halevi's user avatar
3 votes
2 answers
331 views

Program to solve Optimization Problem

I have an optimization problem, this problem has linear constraints and nonlinear constraints. I solved the linear part by MATLAB but the nonlinear constraints I could not solve it. I downloaded ...
alhannaki's user avatar
13 votes
3 answers
834 views

Famous theorems that are special cases of linear programming (or convex) duality

The max flow-min cut theorem is one of the most famous theorems of discrete optimization, although it is very straightforward to prove using duality theory from linear programming. Are there any ...
7 votes
1 answer
374 views

Sampling uniformly from the vertices of a polytope

I'm looking for a reference on how to sample uniformly (and preferably efficiently, elegantly, etc.) from the vertices of a polytope. I gather that enumerating vertices is hard. I also note the MO ...
Steve Huntsman's user avatar
9 votes
2 answers
843 views

How did they come up with the MRRW bound?

Among the good asymptotic bounds in coding theory in the MRRW bound. It is obtained by using the linear programming problem of Delsarte's and providing a solution. The LP problem is Suppose $C \...
Breakfastisready's user avatar
1 vote
1 answer
330 views

How good is the LP relaxation?

Consider the optimization problem \begin{align} \max_{x\in\mathbb{R}^n}~c^Tx~, \text{ s.t. } Ax=b,~x_i\in\{0,1\}~\forall i \end{align}where $c,b\in\mathbb{R}_{+}^n$ and $A\in\mathbb{R}_{+}^{n\times n}$...
dineshdileep's user avatar
  • 1,421
0 votes
2 answers
102 views

Does Max Flow produce uniform results? [closed]

I am interested in using Max Flow algorithm. I want to simulate transfer of quantity. Anyway, I am unsure of some thing. Does Max Flow algorithm produce uniformly distributed max flow? I have ...
Vili Volcini's user avatar
1 vote
3 answers
138 views

Literature request: Function that depends on a linear optimization problem [closed]

my question is about functions of the following form: $$ f(t) = \max_{\mathbf{x}}~ \mathbf{c^T x} ~ {\rm s.t. \mathbf{Ax} +t \cdot \mathbf{a} \leq \mathbf{b}}, $$ where $\mathbf{x},\mathbf{b}, $ ...
The Pheromone Kid's user avatar
0 votes
1 answer
145 views

How to solve this optimization problem efficiently? [closed]

Let, $D\in\mathbb{C}^{1\times M}$ is a row vector with $M$ elements $V\in\mathbb{C}^{3^M\times M}$ is a given matrix $T$ is a scalar (real and $>1$) $\textbf{The problem at hand is as follows:}$ ...
dipak narayanan's user avatar
1 vote
1 answer
123 views

LASSO problem but with a maximization instead of minimization

I have the following optimization problem (like the LASSO problem but with maximization instead of minimization): $\mathbf{maximize}_{\boldsymbol{\alpha}} \|\mathbf{x} -\mathbf{A}\boldsymbol{\alpha}\|...
Christina's user avatar
  • 111
-1 votes
1 answer
88 views

sparse data fitting problem [closed]

I am a new learner of optimization, and I am confused by the question below, (how to change a 0-norm constrain into binary and linear constrain ?) Given a sparse data fitting problem: $ minimize \...
Yu Lin's user avatar
  • 1
7 votes
1 answer
386 views

Which zero-diagonal matrices contain the all-one vector in their columns' conic hull?

Let $A$ be a non-negative zero-diagonal invertible matrix. Which $A$ make the following assertions true, which are all equivalent: The all-one vector $j$ is contained in the conic hull of $col(A)$. ...
bodhisat's user avatar
9 votes
4 answers
692 views

What would $\mathcal{P} \neq \mathcal{NP}$ tell us about some non-constructive proofs?

Let me sum up my - hopefully correct - understanding of the travelling salesman problem and complexity classes. It's about decision problems: "[...] a decision problem is a problem that can be ...
Hans-Peter Stricker's user avatar
1 vote
0 answers
74 views

How to minimize n-polytope's bounding box with linear transformation?

I am working on an exact algorithm for integer linear programming for my master's thesis: $Ax\leq b, x \in \mathbb{Z}^n$ $cx\rightarrow min$ For my idea to work out, I need a guarantee that n-...
Иван Шумилов's user avatar

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