Skip to main content

All Questions

Filter by
Sorted by
Tagged with
1 vote
1 answer
115 views

$\mathrm{LP}$ formulation for $\mathrm{k}$-$\operatorname{opt}$ moves

$\mathrm{k}$-$\operatorname{opt}$ moves are an idea to improve non-optimal Hamilton cycles in weighted symmetric graphs by exchanging $\mathrm{k}$ tour-edges with $\mathrm{k}$ edges that do not belong ...
Manfred Weis's user avatar
  • 13.2k
1 vote
0 answers
172 views

continuity of linear programming

I have the following conjecture: Given a closed convex set $S \subseteq \mathbb{R}^n$ and one of its exposed face $F=\{x \in S \mid \pi x = \pi_0\}$, where $\pi x =\pi_0$ is the supporting hyperplane ...
HAORAN ZHU's user avatar
1 vote
0 answers
79 views

Is there an efficient way to do semidefinite programming with a Lyapunov equation constraint?

I am trying to numerically solve semidefinite programs of the form $$\begin{array}{ll} \underset{X,Y}{\text{minimize}} & \operatorname{tr}(AX)\\ \text{subject to} & BY + YB = X\\ & X, Y \...
henrikr's user avatar
  • 31
1 vote
0 answers
81 views

Algorithm for deciding feasibility of linear programs [closed]

Suppose I have the simple linear program $$Ax \geq 0, \quad x \geq 0$$ We know that this system has a solution (for example, $x=0$). But, what if we made this rule for this system? $$Ax \geq 0, \quad ...
John Johnovich's user avatar
1 vote
0 answers
192 views

What is the solution of the matrix equation $A X + X A' + B X B' + C = 0$ for $X$?

I know that the matrix equation $A X + X A' + C = 0$ is in the form of the time-continuous Lyapunov equation, so solving for $X$ is pretty trivial since the solution already and numeric solvers ...
Elias Frantz's user avatar
1 vote
0 answers
920 views

Maximizing a piecewise-linear convex function

Crossposted on Operations Research SE. I am working on an optimization problem where some of the terms of the objective function to maximize are expressed as a piecewise linear function of variables: ...
lovasoa's user avatar
  • 111
1 vote
0 answers
323 views

Decomposition of Polyhedral - An example

There is no doubt that clear examples consolidate the understanding of concepts being learnt. I am new to finding the structure and decomposition of a polyhedra. Suppose that we have the system $$ \...
holala's user avatar
  • 111
1 vote
0 answers
92 views

Approximating matrix multiplication with integer arithmetic

The following question is inspired with approximation of matrix multiplication computations occurring in numerical simulations and machine learning algorithms with a use of efficient integer ...
Łukasz Lew's user avatar
1 vote
0 answers
121 views

Algorithm for the nilpotence of matrix polynomials

Let $P$ be a multivariate polynomial of real-valued $N \times N$ matrices. Given $X_1, X_2, ..., X_M \in \mathcal{M}_N\{\mathbb{R}\}$, is there any optimal algorithm to determine whether the result of ...
Andrei Coman's user avatar
1 vote
0 answers
68 views

Fundamental regions in convex programming

In linear programming, the fundamental regions are polyhedra, since those are the intersection of half-spaces defined by linear inequalities. In semidefinite programming, the fundamental regions are ...
Turbo's user avatar
  • 13.9k
1 vote
0 answers
147 views

Convergence of infinite linear programming

Suppose we have the following linear program (LP1), $$\min_{f \in \mathcal{C}} \int_{\mathbb{R}} f(t) \cos(2 \pi x_0 t) dt \\ \text{subject to } \int_{\mathbb{R}}f(t)dt = 1 \\\forall x\in [0,1]: \int_{...
Ernie's user avatar
  • 53
1 vote
0 answers
82 views

What is the relation between different generalizations of linear programming?

Linear programming subsumed by each of Semidefinite programming (SDP) Convex programming (CXP) SOS programming (SSP) Is there any relation between each pair in the three? Are all three equivalent in ...
VS.'s user avatar
  • 1,826
1 vote
0 answers
78 views

Fast computation of linear equation with row and column removed

Given $A, x, b$ and a linear system $Ax=b$, where $A\in\mathbb{R}^{n\times n}$ is full rank. Denote $A_{\backslash i}$ as a $(n-1)\times(n-1)$ matrix where $A$ removes its $i^{th}$ column and row, ...
user3799934's user avatar
1 vote
0 answers
78 views

Reference for the algorithm to find the intersection between a subspace and positive orthant

I came across this algorithm, in this question Algorithm for the intersection of a vector subspace with a cone of non-negative vectors ; Is there any reference for the algorithm described in the ...
Marcelo Pedro's user avatar
1 vote
0 answers
67 views

What are the corners of this polytope?

Let $f$ be a non-negative function on the positive integers such that $f(s+t)\geq f(s) + f(t)$ for all $s,t\in\mathbb{Z}^+$. Consider the polytope consisting of all $x\in \mathbb{R}^n$ such that $$\...
Bob Mullins's user avatar
1 vote
0 answers
175 views

Compute Frobenius inner product of two tensor-trains in terms of tensor contractions

Let $p\in\mathbb N$, $n\in\mathbb N^p$ and identify the Hilbert space tensor $\bigotimes_{k=1}^p\mathbb R^{n_k}$ with $\mathbb R^{n_1\times\cdots\times n_p}$ (equipped with the Euclidean inner product)...
0xbadf00d's user avatar
  • 167
1 vote
0 answers
27 views

Show that a tensor-train is contained in a recursive sequence of subspaces

Let $p\in\mathbb N$; $n_k\in\mathbb N$ and $\left(e^{(k)}_1,\ldots,e^{(k)}_{n_k}\right)$ denote the standard basis of $\mathbb R^{n_k}$ for $k\in\{1,\ldots,p\}$; $u\in\bigotimes_{k=1}^p\mathbb R^{n_k}...
0xbadf00d's user avatar
  • 167
1 vote
0 answers
34 views

One-sided Jacobi SVD and Divide&Conquer SVD stability and cost [closed]

I'm studying SVD, in particularly the Jacobi SVD and Divide&Conquer SVD algorithms. I can't find anything on the stability and error analysis on these methods. Also can someone show show me what's ...
dxdydz's user avatar
  • 139
1 vote
0 answers
283 views

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
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
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
1 vote
0 answers
214 views

Effective Jordan normal form

Given $A \in \mathrm{GL}_m(\mathbb{C})$, I can conjugate it by some $B \in \mathrm{GL}_m(\mathbb{C})$ into its Jordan normal form. That is, for some $n\le m$, there exists a $J \in \mathrm{GL}_n(\...
Sven's user avatar
  • 73
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
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
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
1 vote
0 answers
98 views

L1 Norm regression [closed]

First time poster...apologies for formatting. I am trying to devise a solution to a familiar linear algebra equation, Ax=b, where all elements in A are non-negative and all the elements in b are ...
Jason's user avatar
  • 11
1 vote
0 answers
166 views

How to compress variables in a linear regression

I have a large linear regression where all the independent variables are logical (ie TRUE/FALSE) and sparse. The data has roughly 10,000 variables and 10 million observations, on average around 20 ...
quarague's user avatar
  • 687
1 vote
0 answers
225 views

Why de-blurring a blurred image is an ill-conditioned problem? [closed]

Why de-blurring a blurred image is an ill-conditioned problem? What's the intuitive explanation? How to show it using the condition number?
dxdydz's user avatar
  • 139
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
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
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
1 vote
0 answers
85 views

"Barrier functions" in function spaces [closed]

In general the idea of a "barrier function" (as in the context of "interior point methods") can possibly be thought of as defining a function corresponding to an open subset of $\mathbb{R}^n$ such ...
gradstudent's user avatar
  • 2,246
1 vote
0 answers
66 views

On number of solutions by simplex and number of solutions in total in a linear optimization problem?

This is more of a clarification query. Mizuno http://www2.ims.nus.edu.sg/Programs/012opti/files/talk_mizuno1.pdf says if we give a linear optimization problem $$\max c'x$$ $$Ax\leq b$$ where $A\in\...
Turbo's user avatar
  • 13.9k
1 vote
0 answers
62 views

LP Constraints for Bridgeless Cactus Graphs

When trying to determine the optimal bridgeless spanning cactus graph of a weighted, symmetric graph, I got stuck. What I do not know how to capture, is the variable number and sizes of the cycles ...
Manfred Weis's user avatar
  • 13.2k
1 vote
0 answers
60 views

On the defect of a flow network

This problem in graph theory was actually motivated by some problems in Theory of Fractals. To formulate the problem I need to recall some definitions related to flow network. A flow network is a ...
Taras Banakh's user avatar
  • 41.8k
1 vote
0 answers
86 views

Infinite system of equations with finitely many constraints

During my research I have stumbled upon the following issue concerning infinite systems of linear equations. I do not have much practice in such settings, so I am asking you whether the following ...
Damian Sobota's user avatar
1 vote
0 answers
246 views

How to solve a large linear programming problem? [closed]

I have the linear programming problem in $\mathbf x \in\mathbb R^n$ $$\begin{array}{ll} \text{minimize} & \mathbf c^T\mathbf x\\ \text{subject to} & \mathbf A\mathbf x \leq \mathbf b\end{...
Chan's user avatar
  • 149
1 vote
0 answers
44 views

In convex optimization we know that the optimum solution is on which hyper plane

We have a standard linear program, I mean a set of inequalities $c_i^Tx\leq b_i$ where $i\in \{1,\ldots ,k\}$ and we want to find $max\{c^Ty| y\in \{\cap \{x|c_i^Tx\leq b_i\}\}$. I put some condition ...
Nothing's user avatar
  • 19
1 vote
0 answers
19 views

Empirical approaches to validate observational bounds on minimum gap between least eigenvalues of $n \times n$ correlation matrix and its submatrices

Let $\Sigma$ be an $n \times n$ correlation matrix whose least eigenvalue is denoted by $\lambda$. $\Sigma_i'$ be an $(n-1) \times (n-1)$ submatrix of $\Sigma$ obtained by eliminating the $i$-th row ...
Saurabh Agrawal's user avatar
1 vote
0 answers
261 views

Prove that the following set of triples forms a convex polytope

Take $a,\,b,\,c,\,d \in \mathbb R_+$ such that $a+b+c+d=1$. Define: \begin{equation} x_1 = \min(a+b,\,c+d)\,,\qquad x_2 = \min(a+c,\,b+d)\,,\qquad x_3 = \min(a+d,\,b+c)\;. \end{equation} I would like ...
jvn99's user avatar
  • 31
1 vote
0 answers
125 views

smallest singular value over invertible sub-matrices

Consider the matrix $M = \begin{bmatrix} A & A B \end{bmatrix} \in R^{n \times (n+m)}$, with $A \in R^{n\times n}$, $B \in R^{n \times m}$, $m < n$, $m > 1$, $A$ symmetric positive definite. ...
yon's user avatar
  • 303
1 vote
0 answers
42 views

Computation of sub-gradient for a concave envelope

Let $x_1<\cdots<x_n$ be $n$ points on real line and $g=(g_1,\cdots, g_n)\in\mathbb R^n$ be the scattered data. Let $u_g: [x_1,x_n]\to\mathbb R$ be the linear interpolation of $g_1,\cdots, g_n$, ...
user111097's user avatar
1 vote
0 answers
81 views

Maximizing sum of homogeneous functions of order one over a polytope

Let $f_i: \mathbb{R}^n\rightarrow \mathbb{R}$ be concave, increasing (i.e., if $x\geq y$ where the inequality is entry wise, we have $f_i(x)\geq f_i(y)$), and a homogeneous function of order one for ...
Ozzy's user avatar
  • 393
1 vote
0 answers
20 views

Calculating Cost-Optimal 1-Factors in Digraphs

I need to find a cost-optimal 1-factor in a positively weighted, directed, regular graph $G(V,A)$ without antiparallel arcs, i.e. given $$\text{deg}_{\text{in}}(u)=\text{deg}_{\text{in}}(v)=\text{deg}...
Manfred Weis's user avatar
  • 13.2k
1 vote
0 answers
78 views

Family of functions which satisfies $f(\boldsymbol{x}) = 0$ if $\nabla f(\boldsymbol{x})=0$? [closed]

I have a Lagrangian of which I want to find the supremum in the primal variable $\boldsymbol{x}$: $\mathscr{L}(\boldsymbol{x},\boldsymbol{\lambda})=f(\boldsymbol{x})^T\boldsymbol{a} + \boldsymbol{\...
Danilo Socovan's user avatar
1 vote
0 answers
47 views

Linear programs [closed]

Can the optimal value of the primal problem of a linear program ever be less then zero? An example is: minimize $C=2x_1 +3x_2$ Subject to: $3x_1+4x_2 \leq 5$. Obviously, $x_1$ and $x_2$ are free ...
josh's user avatar
  • 11
1 vote
0 answers
93 views

quick hull algorithm detail

When using quick hull algorithm to find the polytope for half space intersection, we are required to provide an interior point to the solver qhalf. In other words, providing $$Ax \le b$$ is not ...
user40780's user avatar
  • 867
1 vote
0 answers
43 views

a question about probabilities on spaces of digraphs

Let $G$ be a directed graph with fixed nodes $s$ and $t$. Assume that each edge $e$ in the graph comes with a number $n(e)\in[0,1]$. We consider probability spaces $S$ whose points are directed ...
Larry Moss's user avatar
1 vote
1 answer
73 views

minimize number of unique elements in a vector

I was wondering if there is a simple or known way to minimize the number of unique elements in a decision variable (vector). Note that I'm not asking for minimization of nonzero elements (rank ...
Lorenzo's user avatar
  • 13
1 vote
0 answers
1k views

Number of different combinations in a 0-1 knapsack problem with integer weights [closed]

My question is actually very similar to this other one: Given a vector of positive integers, count the number of combinations which have a sum that produces a different value. But, since this previous ...
Vicent's user avatar
  • 153

1
10 11
12
13 14
16