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Integral hull of a polyhedron Q is polyhedron

Let $Q \subseteq R^n$ be a rational polyhedron and let $Q_I=Convexhull(Q \cap Z^n)$. By finite basis theorem, we have $Q=P+C$ for some rational polytope $P$ and finitely generated cone $C$ where $C=R_+...
Sowbarnika R's user avatar
-1 votes
0 answers
41 views

Is it possible to backtrack an optimization solver? [closed]

I have an optimization problem and was using a linear programming optimizer to find solutions. However, I find that past a certain size, the problem becomes "infeasible" and has no solutions....
Bamboozle's user avatar
2 votes
1 answer
91 views

Does approximately null gradient imply approximately global minimum for convex functions?

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
0 votes
0 answers
21 views

Easy instance of set cover

I am trying to prove that a natural greedy algorithm solves the following instance of the set cover problem: for a set of elements $e\in U$ with a set of weights $w_e$, we define the cost of a subset ...
Tom Solberg's user avatar
  • 4,049
7 votes
2 answers
242 views

Prove that $ n \leq d+1 $ under ordering constraints in $\mathbb{R}^d$

Let $x_1, \dotsc, x_n \in \mathbb{R}^d$ and $\theta_1, \dotsc, \theta_n \in \mathbb{R}^d$ be vectors such that for every $k \in [n]$, the following inequality holds: $$ \langle x_k, \theta_k \rangle &...
Alireza Bakhtiari's user avatar
2 votes
4 answers
212 views

Efficient algorithm for graph problem

Let $D=(V,E)$ be a directed graph, $S,T\subset V$ and $f:V\rightarrow \{1,\ldots, k\}$ a positive, bounded weight-function and $l\in \mathbb{N}$, find a path $v_1,\ldots, v_l\in V$ with $v_1\in S$ and ...
Martin Clever's user avatar
1 vote
1 answer
106 views

Iterated optimal transport

Suppose we are interested in two consecutive transport plans (in the Kantorovich formulation). That is, we are given finite sets $X$, $Y$ and $Z$, endowed with probability measures $\mu_X$, $\mu_Y$ ...
tex.support's user avatar
2 votes
0 answers
38 views

Cluster minimizing sum of cost of clusters

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
138 views

Handling absolute value and other discontinuities in numerical optimization methods that use gradients

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
  • 879
0 votes
0 answers
48 views

A question on a quantitative form of Farkas' lemma

Suppose A is an $m \times n$ matrix whose entries are non-negative integers and $\mathbf{b}$ is a vector with rational entries. A version of Farkas lemma implies that if the equation $$A\mathbf{x}=\...
Keivan Karai's user avatar
  • 6,214
1 vote
0 answers
99 views

Minimum of the maximum element frequency given the family size and the universe size

[Crossposted at math.stackexchange]. Consider families of sets $\mathcal{F}$ with size $n = |\mathcal{F}|$ and universe $U(\mathcal{F})$ with size $q = |U(\mathcal{F})|$. I have written and solved ...
Fabius Wiesner's user avatar
0 votes
0 answers
115 views

Software for computing polytopes

As can be inferred from the title, I want to do some computation on the facets representation of the polytopes given the vertices. My advisor recommended me Polymake, which is indeed useful even with ...
AlexiosF's user avatar
5 votes
1 answer
176 views

Efficient counting of integer solutions to linear system

In my research, I have a particular 18x18 matrix $\mathbf{A}$ which defines the linear system $\mathbf{A}\cdot \mathbf{x} \leq \mathbf{-1}$ over the nonnegative integers. And I'm interested in ...
user326210's user avatar
0 votes
0 answers
36 views

How to prove the convergence of Gechberg-Saxton algorithm?

I just have a problem that Gerchberg-Saxton algortihm is no worse than the previous iteration but not sure whether it is convergent.
Jianqing Li's user avatar
4 votes
0 answers
46 views

Implementation of Friedman's algorithm of reconstructing simple polytopes

In Finding a Simple Polytope from Its Graph in Polynomial Time, Friedman gave a polynomial time algorithm on reconstructing a simple polytope from its graph. Has this algorithm been actually ...
mashedcarrots's user avatar
0 votes
0 answers
39 views

Max-flow modeling with unified vehicle and commodity variables

I am working on a network flow problem that involves routing through a time-space network. The network consists of: A single source node and a single demand node. A fleet of vehicles with specified ...
graphtheory123's user avatar
0 votes
0 answers
30 views

Application of greedy approach for optimization

I want to maximize an objective given by $$\max_{\{q_n,p_n\}} \sum_{n=0}^\infty (\alpha_1 - \beta_1 n) p_n + (\alpha_2 - \beta_2 n) q_n$$ where $\alpha_1 > \beta_1 >0$ and $\alpha_2 > \beta_2 ...
Prakirt Raj's user avatar
0 votes
1 answer
73 views

Relations between non-negativity of multivariate polynomials and SOS over gradient ideal

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
  • 59
2 votes
1 answer
213 views

Is matrix B obtained from matrix A?

Assuming a matrix $\mathbf{A} \in \mathbb{R}^{4096 \times 4096}$ sampled from a standard normal distribution $N(0, 1)$, and another matrix $\mathbf{B} \in \mathbb{R}^{4096 \times 4096}$ either sampled ...
eternity's user avatar
0 votes
0 answers
36 views

ILPs with square constraint matrix

Given the Integer Linear Programming ($\text{ILP}$) problem \begin{array}{ll} \text{minimize} & c^T x \\ \text{subject to}& \mathbf{A}^T x \ge b \\ \text{where}&c,x,b\in\mathbb{N}_0^n,\\ &...
Manfred Weis's user avatar
  • 13.2k
0 votes
0 answers
26 views

Monotony of enforced subtour merging

Is it true that for a symmetric TSP instance in the sequence of edges generated by successively: calculating the optimal 2-factor adding cardinality constraints on the edgesets of the 2-factor's ...
Manfred Weis's user avatar
  • 13.2k
0 votes
0 answers
171 views

Solve NP-hard type problems with linear programming

I would like to know if there is any way to solve an NP-hard type problem, for example, the TSP, sum of subsets or knapsack problem, by using linear programming and not by brute force. I ask this ...
Juan Carlos's user avatar
0 votes
0 answers
64 views

Alternatives to McCormick Envelope

I have an optimization problem for which I have the optimal solution obtained by the ILP. However, when I introduced the McCormick Envelope to replace the product of a bi-linear term in its LP ...
LyLa's user avatar
  • 3
2 votes
0 answers
119 views

Seeking insights on bounded set positive solutions for a set of linear systems in $\mathbb{R}^n$

Before delving into my query, I'd like to provide some context. Consider a continuous function $f:\mathbb{R}^{k}\rightarrow\mathbb{R}^{m}$ and a compact set $\mathcal{B}\subset \mathbb{R}^{k}$ (...
Diego Fonseca's user avatar
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
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
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
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
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
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
2 votes
1 answer
240 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
3 votes
1 answer
233 views

Min problem on integers

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
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
2 answers
529 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
1 vote
1 answer
66 views

Estimate of minimum of the Poisson integrals corresponding to a convergent Hausdorff sequence of smooth bounded domains from below

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
121 views

How to solve the optimization problem $\max_{\mathbf{w}}\sum_i\text{sign}(\mathbf{w}^T \mathbf{x}_i)$?

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
3 votes
0 answers
105 views

Techniques for solving linear inequalities

For $n$ real variables $x_1, \ldots, x_n$, I have a bunch of inequalities of form $2 x_i > x_j + x_k$ or $2 x_i < x_j + x_k$, where $i,j,k$ are distinct. My goal is to determine whether this set ...
Dmitry's user avatar
  • 231
0 votes
1 answer
103 views

Constrained linear optimization problem on $C^1$

I am dealing with a problem of the form ($a<b$) $$ \displaystyle \max_{v \in C^1([a, b])} \int_a^b v(x)~\mathrm{d}x, \quad \mathrm{s.t.} \int^b_a \big(-o'(x)v(x)-v'(x)o(x)\big)f(x)~\mathrm{d}x \...
Hyperbolic PDE friend's user avatar
1 vote
0 answers
36 views

Does Hoffman constant keep the same after a very tiny perturbation on the polyhedron such that the bases are even unchanegd?

Suppose that $P$ is a polyhedron represented by $$P:=\{x \in \mathbb{R}^n: A x \le b \} \text{ for }A \in \mathbb{R}^{m\times n},\ b \in \mathbb{R}^m,$$ and $P$ contains interior points. Moreover, the ...
ZZZZZZ's user avatar
  • 33
0 votes
0 answers
145 views

Bound on solutions of $Ax \ge b$

Let $A \in \mathbb{Z}^{m \times n}, b \in \mathbb{Z}^{m \times 1}$. One can show that if there is a solution of $Ax \ge b, x \in \mathbb{R}^n$ then there is one such that $\|x\|_{\infty} \le c (\|A\|_{...
user1868607's user avatar
0 votes
0 answers
84 views

1-degree SOS proof refutes Linear Programming

I am trying to understand Sums-of-Squares proof systems. A degree $d$ Sums-of-Squares refutation for a set of polynomial equations $P = \{p_1(x) = 0, ..., p_m(x) = 0\}$ is defined as $\sum_{i=1}^m g_i(...
Tom Keaton's user avatar
1 vote
1 answer
119 views

Adding linear constraint to the domain

I don't know if it is a well-known problem, but I have been struggling to come up with an algorithm. I have a set of linear constraints $Ax\le b$, $b\ge 0$ ($b$ and $A$ are given, $x$ is a variable). ...
Ryszard Eggink's user avatar
1 vote
0 answers
96 views

On optimizing a multivariate quadratic function subject to certain conditions

The problem is to maximize $f(x_1,x_2,\cdots,x_n)=\sum\limits_{i=1}^{n}\Big(x_i-k_i\Big)^2$ for $n\ge 3$ subject to the conditions (1) $\sum\limits_{i=1}^{n}x_i=\sum\limits_{i=1}^{n}k_i\le n(n-1)$ ...
shahulhameed's user avatar
1 vote
0 answers
334 views

Closed-form solution of a particular linear program

(Note: I asked a similar question at math.stackexchange but the present one is more precise.) I have a linear program of the form: $$\text{minimize} \space\space x_1 \space\space \text{subject to:}$$ $...
Fabius Wiesner's user avatar
1 vote
1 answer
169 views

Best projection on non-convex discrete set with two constraints

I want to compute the projection of a vector $\left( x\right) _{1\leq i,j\leq n}\in \lbrack 0,1]^{n\times n}$ on the following discrete set $$ S=\left\{ x\in \{0,1\}^{n\times n}:x_{i,j}+x_{j,i}\leq 1;\...
Goga's user avatar
  • 47
2 votes
1 answer
61 views

Counting the number of pair of d-uplets with upper bounded distance

Consider two d-uplets $u = (u_1,...,u_d)$ and $v = (v_1, ..., v_d)$ both living in $\mathbb{N}^d$ with $d$ a positive integer. They both verify $$(*) \sum_{i=1}^d u_i = \sum_{i=1}^d v_i = k$$ with $k$ ...
Ludwich's user avatar
  • 55
0 votes
1 answer
147 views

Is there a redundant constraint in linear programming? [closed]

From wikipedia: But... Why do we need the $x\ge 0$ part? We can instead do $-x\le 0$, and thus saving a line in the definition (which is not a big deal but nevertheless nice). (In order to do that, ...
Bipolo's user avatar
  • 3

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