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How do you call a linear programming problem when the solution should be "constrained" to a norm?

(apologies for the n00b question) Let's say we have a vector of length $n$, with to-be-determined values: $a_1, a_2, ...,a_n$. And we have information that partial sums of these elements are equal to ...
Tal Galili's user avatar
1 vote
0 answers
162 views

Optimization problem on trace of complex matrix product

Given a complex rectangular matrix $A$ $(k \times n)$, I am interested in solving the following optimization problem over $(k\times n)$ complex matrices $x$: $$ \mathrm{arg}\max_X \,\mathrm{trace}(X^...
hichem hb's user avatar
  • 377
2 votes
0 answers
76 views

Polyhedron coordinate bound

Given a polyhedron $$Ax\leq b$$ where we assume $A\in\mathbb Q^{m\times n}$ and $b\in\mathbb Q^{m}$ and it takes $L$ bits to represent the inequalities what is a good bound on the quantity $\|y\|_\...
Turbo's user avatar
  • 13.9k
1 vote
0 answers
43 views

Detecting non-negativity of a single constraint by polyhedral constraints - $II$

Let $$\langle a,x\rangle=b$$ be a linear constraint where $x\in\mathbb R^n$ and every entry in $a=(a_1,\dots,a_n)$ is in $\mathbb Z_{\geq0}^{n}$ (non-negative) and the entry $b$ is in $\mathbb Z_{\...
Turbo's user avatar
  • 13.9k
0 votes
1 answer
110 views

Detecting non-negativity of a single constraint by polyhedral constraints - $I$

We consider $$\langle a,x\rangle=b$$ (linear constraints) where $x\in\mathbb R_{\geq0}^n$ and every entry in $a=(a_1,\dots,a_n)$ is in $\mathbb Z_{\geq0}^{n}$ (non-negative) and the entry $b$ is in $\...
Turbo's user avatar
  • 13.9k
0 votes
1 answer
116 views

Iterations of Dantzig-Wolfe Decomposition for a Simple Linear Programming problem

This arises from an engineering problem I am working on. Let $\mathbf{c}_i,\mathbf{a}_i,\mathbf{b}_i\in \mathbb{R}^{d}$ be a given set (collection) of vectors where $i\in\{1,\dots,n\}$. Define the ...
dineshdileep's user avatar
  • 1,421
3 votes
1 answer
439 views

Derivative of eigenvalues of a symmetric tridiagonal matrix built via the Lanczos-Arnoldi scheme

Suppose $\mathbf{A}(\mu)$ being a symmetric positive definite matrix of dimension $n$ where its elements depend parametrically on the real parameter $\mu$. Suppose now to build the orthonormal basis ...
wolfram's user avatar
  • 131
2 votes
1 answer
164 views

The "best way" to order unknowns in linear systems

Start with a linear system of the form \begin{equation*} Ax + Bt + C = 0, \end{equation*} where $x = (x_1, \dots, x_n) \in \mathbb R^n$ is the vector of unknowns, $t \in \mathbb R^m$ is a vector of ...
avril_14th's user avatar
0 votes
0 answers
93 views

Number of vertices in a polyhedron

Consider polytopes $$A_1[x_{1,1},\dots,x_{1,m_1},z_{1}]'\leq b_1$$ $$A_2[x_{2,1},\dots,x_{2,m_2},z_{2}]'\leq b_2$$ $$B[z_{1},z_{2},z]'\leq c$$ having vertex count $v_1,v_2$ and $v$ respectively. We ...
Turbo's user avatar
  • 13.9k
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
0 votes
1 answer
112 views

Is there a specific name for this optimization problem?

Let $A$ be an $n\times n$ symmetric positive definite matrix with eigenvalues and eigenvectors $\lambda_1\ge\lambda_2\ge\cdots\ge\lambda_n>0$ and $v_1,v_2,\cdots,v_n$ respectively. We know that the ...
bernard's user avatar
  • 205
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
2 votes
0 answers
47 views

Transforming a symmetric matrix into pentadiagonal form

Given a symmetric matrix $A$, which has complex values in the diagonal, but whose all other entries are real, I am interested in finding an orthonormal transformation $Q$ such that $Q^tAQ$ is a ...
Qwertuy's user avatar
  • 251
1 vote
1 answer
98 views

Optimality gap between a joint linear program and decoupled sub programs

Let $\mathbf{c}_i,\mathbf{s}_i$ be given entry-wise positive $n\times 1$ vectors for $i\in[1,\dots,d]$. Let $\tau, \alpha_1,\dots, \alpha_d$ be given positive constants. Consider the linear ...
dineshdileep's user avatar
  • 1,421
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
3 votes
2 answers
246 views

A problem about determinant and matrix

Suppose $a_{0},a_{1},a_{2}\in\mathbb{Q}$, such that the following determinant is zero, i.e. $ \left |\begin{array}{cccc}\\ a_{0} &a_{1} & a_{2} \\ \\ a_{2} &a_{0}+a_{1} & a_{1}+a_{...
HilbertHunnterrrD's user avatar
0 votes
1 answer
535 views

Conditions to solve linear system with matrix blocks

How to verify if a linear system of symmetrical matrix blocks has solution? I have the matrix: $\left[M\right]_{p \times p}$, symmetrical $\left[G\right]_{p \times q}$ and then, I would like to ...
Carlos Adir's user avatar
0 votes
0 answers
57 views

Numerically finding matrix approximation by lower-dimensional "pseudo-similar" matrix

Consider an $N\times N$ (real or complex) matrix $A$, and some $n<N$. Is there a good numerical algorithm that finds the set consisting of an $n\times n$ matrix $B$, an $n\times N$ matrix $I$, and ...
Andi Bauer's user avatar
  • 3,001
1 vote
0 answers
322 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
0 votes
1 answer
76 views

A question on graph partitioning

Given a connected un-directed simple graph $G=(V,E)$, is there a polynomial time algorithm to find the smallest subset $S$ of $V$ such that each node in $V \setminus S$ has at least 50% of its ...
DSM's user avatar
  • 1,216
4 votes
1 answer
746 views

Condition number for matrix of eigenvectors of a diagonalizable matrix

Let $A$ be a diagonalizable matrix, i.e., $A=SDS^{−1}$. For any matrix $A$, condition number is defined as $\kappa(A)=\|A\| \|A\|^{-1}$. For $A$ being a diagonalizable matrix, define $G_A=\{{S: S^{-1} ...
Das Dipayan's user avatar
1 vote
1 answer
1k views

Check if a point is in the interior of the convex hull of some other points in high dimensions, and lower-bounding the largest enclosed ball [closed]

Given $m$ points $P=\{p_0, p_1, ..., p_m\}$ in high dimensions (e.g. 100), it is known that computing (or even representing) their convex hull $\text{conv}(P)$ is generally intractable due to the ...
Dazheng's user avatar
  • 11
3 votes
0 answers
87 views

Additional symmetries of the Traveling Salesman Polytope

Given the complete graph $K_n=(V,E)$, the Traveling Salesman Polytope is a convex polytope in $\Bbb R^E$ obtained as the convex hull of the indicator vectors of (edge-sets of) Hamiltonian cycles in $...
M. Winter's user avatar
  • 13.6k
1 vote
1 answer
157 views

Constructing representations of probability revision functions

Let $P$ be a probability distribution over a finite Boolean algebra $\mathfrak{B}$, and fix a parameter $t_{P} \in (\frac{2}{3}, 1)$. Define the `revision function of $P$', $R_{P}: \mathfrak{B}\...
King Kong's user avatar
  • 631
0 votes
1 answer
230 views

Solution of complex linear system

In Brubeck, Nakatsukasa, and Trefethen - Vandermonde with Arnoldi (example 3) they solve the following linear system: $$\operatorname{Re}\left(\begin{array}{ccc}1 & \cdots & z_{1}^{n} \\ 1 &...
Gaussian's user avatar
6 votes
1 answer
763 views

What is the big-O complexity of solving the sparse Laplace equation in the plane?

In MATLAB, you can get a 2d Laplacian via A = delsq(numgrid('S',N)); yielding a matrix $A$ that is $n \times n$ with $n = O(N^2)$, for a square domain discretized ...
Sébastien Loisel's user avatar
1 vote
1 answer
628 views

Allowing an "OR" option between equations in a linear program

I am looking for a way to express an "or" option in a system of linear inequalities for a linear program I am working on. I will explain what I mean precisely: Lets say I have a set of ...
Eric_'s user avatar
  • 141
2 votes
1 answer
241 views

How to solve this set of equations as efficiently as possible (with "efficiently" measured in FLOPS)?

The system of equations is the following: $$ \Gamma_i^{\ -1} = \sum_{i=1}^nA_{ij}\Gamma_j, $$ where $\Gamma = (\Gamma_i)$ is a vector of size $n$ and $A$ is a matrix of size $n\times n$, with $n \gt ...
Simon's user avatar
  • 21
1 vote
1 answer
146 views

Norm of a matrix with clustered eigenvalues

On page 271 of Trefethen and Bau's Numerical Linear Algebra, it is constructed a matrix $$A=2I_{m\times m}+0.5\cdot\frac{\text{rand}(m)}{\sqrt{m}}$$ for $m=200$, where rand(m) is an array with $m\...
Leibniz's user avatar
  • 13
7 votes
0 answers
116 views

Are there attempts to numerically finding algebraic structures over finite-dimensional vector spaces?

By "algebraic structure" I mean a finite set of linear operators between tensor products of copies of one (or more) finite-dimensional (complex or real) vector spaces, fulfilling a set of ...
Andi Bauer's user avatar
  • 3,001
3 votes
1 answer
202 views

Does there exist an O(n^3) algorithm for deciding whether PAP^T = LDU is solvable given some square matrix A?

Let $A$ be an arbitrary real square matrix. Does there exist an $\mathcal O(n^3)$ algorithm for deciding whether there exists a permutation matrix $P$, lower unit triangular matrix $L$, upper unit ...
wlad's user avatar
  • 4,943
1 vote
1 answer
326 views

For the purposes of solving linear equations, is there a fast decomposition that works for all Hermitian matrices?

Let $A$ be an arbitrary Hermitian matrix. Is there a way of efficiently factorizing $A$ for the purposes of solving $Ax = b$ for arbitrary $b$? There are two decompositions I'm aware of that nearly ...
wlad's user avatar
  • 4,943
2 votes
2 answers
107 views

Solution to a matrix optimisation problem with a particular structure

Does a matrix of the form $A_{ij} = v_i + v_j$ for some arbitrary vector $v$ have a particular name? I am attempting to find the closed form solution (if it exists, although it looks like it might) ...
Nick555's user avatar
  • 31
8 votes
2 answers
1k views

Minesweeper as a linear algebra problem

I've written a computer program to generate and solve minesweeper games. Once I've eliminated the obvious mines and safe squares I look at each remaining connected setsin turn and formulate a linear ...
Alan Swindells's user avatar
0 votes
0 answers
68 views

Convex optimization under asymmetric loss in infinite dimensional space

The following problem is common in financial economics $$ \min_{m \in L^2} \mathbb{E}[ \phi(y(\theta)-m)] \quad \text{s.t. } \mathbb{E}[ mx ]= q $$ That is, given a random variable $y(\theta)$ ($\...
Dejan Evisal's user avatar
1 vote
1 answer
144 views

Complexity of solving $\sum_i A_i X B_i = C$

Is anything known about computational complexity of finding $X$ which satisfies the following matrix equation? $$\sum_i^n A_i X B_i = C$$ With $A_i,B_i,C$ dense $d\times d$ matrices. Any literature ...
Yaroslav Bulatov's user avatar
2 votes
1 answer
139 views

linear programming with $n$ choose $r$ variables

Given parameters $r < n$, define $m = {n \choose r}$ and let $A$ be the $n\times m$ matrix whose columns are all the vectors with $r$ $1$'s and $n-r$ $0$'s. Let $b$ be a positive $n$-vector. Is ...
David T.'s user avatar
9 votes
1 answer
472 views

$M = AA^t$ where $A$ has unit norm columns

Let $M \in \mathbb{R}^{k\times k}$ positive definite with $\operatorname{tr} M = m$, where $m$ is an integer such that $m \geq k$. I have found a way (using this answer) to decompose $M = AA^t$ with $...
Yair Daon's user avatar
  • 185
6 votes
1 answer
222 views

Computing $(AA\otimes BB + AB \otimes BA)^{-1}$

Can anyone suggest a way to numerically compute the following matrix vector product? $$u=A^{-1}b=(AA\otimes BB + AB \otimes BA)^{-1}\operatorname{vec}(C)$$ Here $AA,BB,AB,BA$ and $C$ are $d\times d$ ...
Yaroslav Bulatov's user avatar
2 votes
1 answer
763 views

Integer solution of optimal transport

Let us consider two vectors $\mathbf{a}=(a_1,...,a_n)$ and $\mathbf{b}=(b_1,...,b_m)$ so that each quantity is an integer $a_i,b_j \in \mathbb{N}$. It represents for example supply and demand. Let $\...
Titouan Vayer's user avatar
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
1 answer
3k views

How to minimize l1-norm constrained by "infinity norm"

Let $A \in \mathbb{R}^{m \times n}$ and $b \in \mathbb{R}^m $. I have the following two problems: P.1. \begin{equation} \underset{x\in\mathbb{R}^n}{\text{minimize}} \| Ax-b \|_1 \\ \text{s.t. } \| x \...
Paul Goyes's user avatar
11 votes
2 answers
1k views

Existence of sparse LU decomposition of sparse matrix

Let $A$ be a sparse matrix over some field. I would like to know about the existence of LU decompositions so that $L,U$ are both sparse. More precisely, let $A$ be an $N$-by-$N$ matrix. Suppose each ...
Matt Hastings's user avatar
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
9 votes
1 answer
559 views

What is the Lipschitz constant of the differential of the matrix exponential $\mathfrak{so}(3)\to \mathrm{SO}(3)$

I'm interested in numerical methods on $\mathrm{SO}(3)$ manifold, and working on a particular problem using the exponential coordinates: $$ R(u) := \exp(u_\times) $$ with $u\in \mathbb{R}^3$ and where ...
Maciej's user avatar
  • 111
2 votes
0 answers
616 views

block diagonal approximation of (SPD) matrix

I am interested in approximating a symmetric matrix in a block diagonal form, i.e. compute just some entries of the matrix located in blocks around the diagonal. Are there any theoretical guarantees ...
Foivos's user avatar
  • 335
3 votes
0 answers
122 views

Convex optimization upper bound for a non-linear optimization

Is there any good convex optimization problem based upper-bound for the following non-linear optimization problem? \begin{align} \max_{x_1,\ldots,x_N}&\quad \sum_{n=1}^{N} \log(1+\frac{x_n}{1+\...
Math_Y's user avatar
  • 287

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