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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
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1 answer
133 views

Reference request on Borsuk conjecture [closed]

I just heard of Borsuk conjecture. I want to ask if there are any references preferably looking at the problem from the point of view of Mathematical analysis I can study it from? Thanks
Dreamer123's user avatar
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1 answer
57 views

Extremality of Triangles with Corners from Planar Convex Hulls

I am looking for proofs of or counterexamples to the following assumptions: if the corners of a triangle are chosen from a compact subset $\mathcal{S}$ of the Euclidean plane then all three corners ...
Manfred Weis's user avatar
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1 answer
127 views

Maximum number of points in convex position on a grid

Guys this problem really bothers me (I don`t know how to prove it) please help: What is the maximum number of points in convex position on a $n\times m$ grid? (My guess would be $2*(m+n)-4$.)
Khandan's user avatar
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2 answers
120 views

Reference request: dependence on linear constraints

Excuse me if my question is stupid. I'm seeking the references on the dependence of the (linear) optimization problem on (linear) constraints. Namely, consdier the following optimization problem: $$P(...
CodeGolf's user avatar
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1 answer
71 views

A bound on the Haussdorff distance

Let $X, Y \subset \mathbb{Z}^2$ be two discrete and bounded sets. Let $f_X$ be the Euclidean signed distance function of $X$ (similarly for $Y$) and $d_H(X,Y)$ the Euclidean Haussdorff distance ...
teide4's user avatar
  • 59
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1 answer
2k views

When to use non-negative-least square and least-square [closed]

What are the typical case we need to use Non-negative least squares NNLS $$ ||Ax - B||^2 $$ instead of least-square $$ Ax-B$$ (or vice versa)? And is there any drawback in applying them on large $A$...
neversaint's user avatar
0 votes
2 answers
244 views

Rewrite optimization objective

Hi, I wanted to ask, under which conditions can one rewrite the optimization objective $\min_x f(x)\;\;\;s.t.\;\;\;g(x) \leq s$ as $\min_x g(x)\;\;\;s.t.\;\;\;f(x) \leq t$ I have particular ...
rodms's user avatar
  • 409
0 votes
2 answers
340 views

positive semidefiniteness: a psd matrix substracted by another rank 1 psd matrix

Given that $A$ is a positive semidefinite matrix, $x$ is a vector, $\lambda_0 \in [0, +\infty) $ is a real non-negative number. I want to know the answer to the following optimization problem. $$ \...
Shaohua's user avatar
  • 101
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1 answer
407 views

Counting integer points in a Minkowski sum

We have known from Ehrhart theory that if $P$ is a $d$-dimensional polytope of $\mathbb R^n$ which has integer vertices then the number of integer points in $nP$ is a polynomial of degree $d$. We also ...
Amafessor's user avatar
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2k views

Find edge weights that fit given node weights

Let $G = (V,E)$ be a connected simple graph (unweighted, undirected, no selfloops) on $n$ nodes. Let $\mathbf{d} := (d_1, d_2, ..., d_n) \in \mathbb{R}_{>0}^n$ be a vector of arbitrary given node ...
cubic lettuce's user avatar
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1 answer
456 views

Is the Simplex Method still polynomial when all inequalities are through the origin?

Hello, I want to solve a linear program using the simplex method, and I know that all my inequalities will pass through the origin (therefore, either my initial solution of (0, ... , 0) is optimal, ...
user21816's user avatar
  • 693
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2 answers
1k views

Degenerate case of linear programming duality?

Let's say we have a maximization linear program that looks like this: maximize $\vec{c}\vec{x}$, subject to $\matrix{A}\vec{x} \leq 0$, $\vec{x} \geq 0$. If we take the dual, we have "minimize $0\vec{...
Henry Yuen's user avatar
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2 answers
530 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
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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
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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
0 votes
1 answer
99 views

When a polygonal line become a loop in hyperbolic plane?

Suppose we have a 5 tuple of positive real numbers $(l_1,l_2,m_1,m_2,m_3)$, with $m_i \in (0,\pi)$ for all $i$. Now fix a point $v_1$ in the hyperbolic plane. Then consider a geodesic of length $l_1$ ...
KAK's user avatar
  • 613
0 votes
1 answer
143 views

$\mathrm{ILP}$-formulation for Minimum Maximal Matching (MMM) Problem

Despite some online searching I couldn't find examples of dedicated Integer Linear Programs ($\mathrm{ILP}$s) for determining smallest matchings, that are not contained in a larger one. It seems that ...
Manfred Weis's user avatar
  • 13.2k
0 votes
1 answer
126 views

An otherwise linear matrix equation with the presence of a signum function : reference request

Consider the equation $$\pmb{c}+\text{sign}(G\pmb{c}) = L$$ $\pmb{c}$ is a $n\times1$ matrix. $G$ is a $n\times n$ matrix which is also positive definite. matrices $G$ and $c$ are real. $L$ is a $n\...
Rajesh D's user avatar
  • 698
0 votes
1 answer
249 views

Oriented path in a graph

Let $G=(\mathcal{V}_G,\mathcal{A}_G)$ be an oriented acyclic graph. Assume that $G$ has a unique source $s\in \mathcal{V}_G$ and a unique sink $t\in \mathcal{V}_G$. Now, fix $u,v\in \mathcal{V}_G$ ...
cl4y70n____'s user avatar
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1 answer
150 views

What are all the possibilities of $A$ s.t. $\det(A)=k$?

Suppose we have $A \in M_3(\Bbb N\cup\{0\})$ s.t. sum of the elements of each row is $k $ for some fixed $k\in \Bbb N\cup\{0\}$. What are all the possibilities of $A$ s.t. $\det(A)=k$? We can start ...
Ri-Li's user avatar
  • 103
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
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
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
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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
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1 answer
212 views

Is an exact violated inequality constraint met as equal constraint in optimal solution?

We have a solution which does not satisfied exactly one inequality constraint in linear program. The corresponding dual solution is also feasible. Is it correct this constraint is in equal form in the ...
A.R.S's user avatar
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0 votes
1 answer
67 views

Calculating a Measure of the Geometric Complexity of Planar Closed Polylines

Let $\lbrace p_1,\ \dots,\ p_n\rbrace$ be a set of points in the Euclidean plane and let $T_0 :=\left(p_1,\ \dots,\ p_n,p_1\right)$ be a Hamilton cycle through the set of points. Question: ...
Manfred Weis's user avatar
  • 13.2k
0 votes
1 answer
129 views

Fundamental Surfaces in 3-manifolds

Given a 3-manifold $M$ with a triangulation $T$, will every essential surface in $M$ be a fundamental one? If not, then what are the conditions on $T$ so that these essential surfaces become ...
Adwait's user avatar
  • 1
0 votes
1 answer
79 views

algorithms and tools available for a particular polytope computation

Let me define each half space i as: $${H_i}:{c_i}{\bf{x}} \le {b_i}$$ The intersection of all such ${H_i}$ gives a polyhedron (bounded or not). Suppose I am interested in if ${H_i}$ is active (...
user40780's user avatar
  • 867
0 votes
1 answer
201 views

Recursive linear programming on a linear subset of a simplex

The problem I am working on is: Given an $n$ dimensional vector $r \in \mathcal{R}^n$, and a convex set $G=\{\mu \in \mathcal{R}^n | \mu_i \ge 0, ~ \mu^T \mathbf{1}=1, ~ A\mu =0 \}$ where $\mathbf{1}...
Sungjoon Choi Samuel's user avatar
0 votes
1 answer
204 views

Is the linear production game a convex game?

In cooperative game theory, the linear production game (LPG) is defined by letting the characteristic function have the form of a linear programming problem. Does anyone know if the LPG is a convex ...
philipvn's user avatar
0 votes
1 answer
543 views

Convert general optimization problem to LP problem

I am trying to convert the following problem into a linear programming problem: There are $M\times N$ matrix $T$ of real numbers between 0 and 1 and $N\times 1$ vector $w$ of real numbers between 0 ...
Math_manul's user avatar
0 votes
1 answer
82 views

Introducton books for ‎$\frak{E}_p(I)$

Are there any good books different from abstract harmonic analysis by hewitt to study ‎$\frak{E}_p(I)$. where ‎$\frak{E}_p(I)$ is: ‎Let $I$ be an arbitrary index set‎. ‎For each $i\in I$ let $H_i$ ...
R.N's user avatar
  • 209
0 votes
2 answers
118 views

Inner Product of Given Sum Positive Sequence

Let $$A = \Big\{(a_1,a_2,\dots)\ \Big|\ a_i\ge 0, \sum_{i=1}^\infty a_i=1\Big\},$$ $$v(x)=\sup\left(\bigg\{\sum_{i=1}^\infty a_ib_i\ \bigg|\ (a_i)_{i=1}^\infty,\, (b_i)_{i=1}^\infty \in A,\,\sup\...
Hans's user avatar
  • 2,239
0 votes
1 answer
546 views

Solution of infinite dimension linear system

Suppose that ${a_n}$ and $b_n$ is decreasing sequence such that $a_0=A$, $lim_{n->\infty}a_n=0$ and $b_0=B$, $lim_{n->\infty}b_n=0$. For fix n, we can construct n dimension linear equation ...
user155214's user avatar
0 votes
2 answers
708 views

Approximate solution to large mixed integer programming problem

What are the available approaches to find an approximate solution to a large mixed integer programming problem? I ran my problem in the Gurobi MIP solver. It can find a feasible solution in ...
user avatar
0 votes
1 answer
451 views

Large scale least squares of non symmetric and non square problems

Given a system like $b=Ax$ with an non symmetric and non square $A$ I would like to solve it having many elements in $x$ (lets say $10^7$). There is a large amount of algorithms for symmetric ...
mojovski's user avatar
  • 125
0 votes
1 answer
99 views

generalization from linear programming solution [closed]

I have a series of similar linear programs that depend on an input vector $a\in A$ and whose solution is an output vector $b\in B$. I can solve them individually, but this is wasteful. I suspect that ...
Gecko's user avatar
  • 109
0 votes
1 answer
85 views

About the suboptimality of linear estimators

Let $X$ be a random variable and $N$ a Gaussian noise independent from $X$. We observe $Y=X+N$ and want to estimate $X$ based on $Y$ to minimize the mean square error $mmse(X|Y):=E(\hat X(Y)-X)^2$. ...
EEStudent's user avatar
0 votes
1 answer
73 views

Optimal radiating $(d{-}1)$-flats within a sphere

Permit me to revisit an earlier unresolved MO question, "Chord arrangement that avoids confining small or large disks" with a (very!) specific version, inspired by radiation therapy. The main idea is ...
Joseph O'Rourke's user avatar
0 votes
1 answer
2k views

eigen-decomposition solution? is it unique?

Assume an N*N covariance matrix (Q) which is a positive definite matrix. The decoder X is assumed to be N*s, where s<=N. X is calculated to be s eigenvectors corresponding to s minimum eigenvalues. ...
asd2014's user avatar
0 votes
1 answer
205 views

SDP Algorithms/ maximally complementary solutions

Hello, I was wondering if there are algorithms for (linear) Semidefinite Programs (SDP) out there, that converge towards a maximally complementary solution, even if strict complementary does not hold. ...
Charles's user avatar
0 votes
1 answer
504 views

$\ell_o$ Minimization (Minimizing the support of a vector)

I have been looking into the problem $\min: \|x \|_0$ subject to$: Ax=b$. $\|x \|_0$ is not a linear function and can't be solved as a linear (or integer) program in its current form. Most of my time ...
Clark's user avatar
  • 11
0 votes
1 answer
226 views

Continuity of Lexicographic Minimum Solution of a parametrized LP problem

Given a parametrized LP problem find x, that minimizes F*x such that Ax <=Bt+D where t is a parameter. And suppose C(t) is a set of all optimal solutions of LP with parameter t. Let x_L(t) be ...
user23812's user avatar
0 votes
1 answer
367 views

On the number of lines of given points

Hi all, I have a question Concerning Beck's theorem. I have read it from http://en.wikipedia.org/wiki/Beck%27s_theorem and I have two questions : I suppose Beck's theorem doesn't hold when instead ...
rose's user avatar
  • 1
0 votes
1 answer
695 views

Minimum distance between two data sets

Suppose we have two sets of data, $X$ and $Y$, each of which contains $10$ positive numbers. Now let us order the data sets $X=\left\{ x_{1},\cdots,x_{10}\right\}$, $x_{1}\ge\cdots\ge x_{10}>0$ and ...
user20276's user avatar
0 votes
1 answer
409 views

Need help to find an efficient algorithm for the following problem!

Consider $x$ an n-dimensional vector with $x_i$ is integer in the range $[0 \dots k], k\in N$. Given $A_{n\times n}$ is the covariance matrix of $x$. $u$ is a given n-dimensional vector of real ...
chepukha's user avatar
  • 131
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
0 votes
0 answers
128 views

The smallest dihedral angle of convex polyhedrons

Given a set of points $\{x_{k}\}_{k=0}^{m} \subset \mathbb{R}^n$, is it always possible to find a constant $c=c(m,n)>0$, depending only on the dimension $n$ and the number $m$, such that, after ...
sorrymaker's user avatar
0 votes
0 answers
98 views

Number of tetrahedra inside a sphere with boundary A

I understand, that there are some combinatorial problems which are not yet solved regarding gluing triangulations in 3D. At least last time I checked, it was not yet known exactly how many ...
Kregnach's user avatar
  • 183