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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
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83 views

Matrix decomposition in a specific form

Can we prove that for any real valued $d\times d$ matrix $A$, $A$ can be decomposed to finite product of such matrices $$A=\prod_{i=1}^n (I+R_i)$$ where $I$ is the identity matrix and $\operatorname{...
XiaoKK's user avatar
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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
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1 answer
490 views

Relax a rectangular linear assignment problem

I wonder if there is any literature on the following problem $$\begin{array}{ll} \underset{X \in \mathbb R^{m\times n}}{\text{minimize}} & \displaystyle\sum_{i,j} C_{i,j} X_{i,j}\\ \text{subject ...
Jiaji Huang's user avatar
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0 answers
99 views

Is this Graph Iteration Already Known?

When attempting to set up an ILP formulation for a weight-minimal cubic spanning tree (i.e. one with vertex degrees either 1 or 3) I needed connectivity constraint, but misremembered the contents of ...
Manfred Weis's user avatar
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232 views

Smallest eigenvalue of a sparse matrix (updated)

Let $D_{1}$ be $(m-1)n \times mn$ matrix (that is, $(m-1)n$ rows and $mn$ columns) and $D_{2}$ be $m(n-1) \times mn$ defined as $$\begin{cases} D_{1}[(m-1)(j-1)+i ; m(j-1)+i] & = -1 , \\ D_{1}[(m-...
JKay's user avatar
  • 133
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0 answers
46 views

linear inequalities and reference request

I have proved and am using the following simple lemma in my current research problem: Let $\{a_1,...,a_m\}$ and $\{b_1,b_2,...,b_n\}$ be set of positive numbers such that $\sum_{i=1}^m a_i < \sum_{...
GA316's user avatar
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369 views

Finding a point in the relative interior of the convex hull of a set of integer-valued vectors

Let $X \subset \mathbb{Z}^n$ be the set of integer-valued vectors satisfying a system of linear constraints. We can suppose that $X$ is the set of integral points in a given polyhydral set $Y \subset \...
rasul's user avatar
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1 answer
81 views

Can convex combinations of indicator functions for pairwise non-disjoint sets unordered by inclusion dominate one another?

Let $N$ be a finite subset of the naturals. Let $P$ be a set of subsets of $N$ such that: 1) $P\neq \varnothing$, 2) $\forall x\in P, |x| >1$, 3) $\forall x,y\in P,$ if $x\neq y$, then $x\not\...
VMfoobar's user avatar
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68 views

A seemingly easy integer programming question

Let $k, m \in \mathbb{Z}_{ > 1}$. Let $a \in \mathbb{Z}_{> 0}^m$ and $t \in \mathbb{Z}^k$. Let $\varepsilon = (\varepsilon_{i,j})_{1 \leq i \leq m \\1 \leq j \leq k}$ be a matrix with entries in ...
Alex's user avatar
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890 views

Maximum shortest path problem

I have the following problem. You have a graph and every edge has a certain set of possible weights. The question is to find the assignment of those weight which will maximize the shortest path. In ...
Eugene's user avatar
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838 views

Simplifying product of matrix exponential?

Is there a known generalization for n-term matrix exponential multiplication? I am aware that the Baker–Campbell–Hausdorff formula could be used, e.g.: ...
norok2's user avatar
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2 answers
320 views

Solving sparse linear least squares or a positive definite 5-band matrix system fast

I want to quickly solve the following linear least-squares problem $$\min_{x \in \mathbb{R}^n} \left\| A x - b \right\|_2^2$$ with a special sparse structure where each row in $A$ has only up to $4$ ...
sellibitze's user avatar
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0 answers
614 views

Hadamard / matrix product adjoint

First of all I would like to thank everyone over here at mathoverflow for their amazing generosity and help (for both pros and newbies like myself). I apologize if this question seems dumb; I'm a new ...
M.Salem's user avatar
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83 views

Bits of precision matrix reconstruction

We have a real rank $r$ matrix $M\in\{0,1\}^{n\times n}$. Suppose we have diagonalized using $LMR=D$. I want to recover a real matrix $\widetilde{M}$ such that maximum absolute entry of $\widetilde{...
Turbo's user avatar
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161 views

Way to parameterise sparse multi diagonal matrix

I have an NxN matrix S that looks like this: $$ S^{-1} = K^{-1} + \Lambda $$ where N is a multiple of 3, both K and S are positive definite matrices, and Lambda is $$ \Lambda = \begin{bmatrix} x &...
tbi's user avatar
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1 answer
270 views

Generalized assignment problem with no integrality gap

Suppose I am solving the generalized assignment problem, so that I am given matrices $U$ and $W$ and a vector $c$ (all three of which have, say, positive entries), and I want to solve $$\text{...
Kevin Jenkins's user avatar
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0 answers
917 views

Inverse problem with a rank-1 update

I hope you can help me out with this. I have to find the solution x to an inverse system $$ x=A^{-1}b $$ This inverse problem is basically a least square problem with a rank-1 update. $$ x=[uv^{T}...
user49843's user avatar
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0 answers
104 views

Big eigenvalues of a special stochastic matrix

Given a matrix $M$ of size $n\times n,$ we write its different eigenvalues by $x_1,x_2,\ldots,x_m$ with $m\leq n$ such that $|x_1|>|x_2|>|x_3|>\cdots|x_m|,$ and call $x_2\doteq |\lambda_2|(M)....
Umberto's user avatar
  • 105
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1 answer
2k views

Finding linearly independent columns of a large sparse rectangular matrix

I have a problem that necessitates solving a large non-negative least-squares problem. My matrix A is large, sparse, highly rectangular (num rows >> num cols) and nearly binary. However, A is not ...
Rob's user avatar
  • 103
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0 answers
103 views

Gauss-Newton for quotient functions

I'm optimizing a function of the form $$ \sum \frac{ \|\mathbf{f_i}(x)\|^2 }{ g_i(x)^2 + h_i(x)^2 } $$ where $x$ is a real vector, $\mathbf{f}(x)$ is a real vector, and $g(x)$ is a scalar. My first ...
Alex Flint's user avatar
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0 answers
194 views

A linear program related question

Dear all, recently, I encountered the following problem. It is closely related to the order of growth for UMD constants of all $n$-dimensional Banach lattice. Let $\alpha^k \in (\alpha_1^k, \alpha_2^...
Yanqi QIU's user avatar
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0 answers
79 views

Computing maximum point for minimal function of a family of linear functions

Let $x \in S^n $ where $S^n = ${$ [x_1,x_2,...,x_{n+1}]\in \mathbb{R}^{n+1} \mid x \ge 0 , \sum x_i = 1 $} and let $f_i : I^n \to \mathbb{R}$ be a finite $m$-sized family of LINEAR functions such that:...
PolvoAzul's user avatar
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0 answers
783 views

LP relaxation for ILP\IP (integer linear programming)

I am familiar with LP relaxation for ILP (or IP). Assume we concern with integer minimization problem, which we formalize using ILP; we then relax the ILP into LP and we say that the LP provides a ...
user25407's user avatar
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0 answers
136 views

Finding peaks and determining noise

Hello , Im having one matrix which is product of two FFT transforms of one fits image ( astronomical image ). In that matrix you could find 3 peaks. One largest in center, and two around central ...
viktor.radovic's user avatar
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0 answers
118 views

sparsest cut always has solution

Hi! How to prove that sparsest cut always has an optimal solution which is the cut for some vertex-subset. Looks like it's should be a kind of fundamental theorem for sparsest cut. But I didn't ...
gosm's user avatar
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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 votes
2 answers
114 views

On OR condition in Linear Programming with exponentially many constraints [closed]

Suppose we have two linear programs $Ax\leq b$ and $Bx\leq c$ is there a way to combine them into one program of possibly a larger dimension $Cy\leq d$ such that projection of vectors $y$ into a ...
Turbo's user avatar
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-1 votes
1 answer
137 views

Does a half plane contain intersection of some other half planes? [closed]

I'm doing research in Optimization and I have found this obstacle in the way. If we have set of half planes like $c_ix\leq b_i$ where $i\in \{1,\ldots ,k\}$ there is an algorithm(it would be better ...
Nothing's user avatar
  • 19
-1 votes
1 answer
103 views

How to solve MILP problem on several linear subspaces

I have a set of close mixed-integer programming problems. More exactly, all the problems share the same set of (binary and continuous) variables, the same set of linear inequality constraints, and the ...
Nikolay's user avatar
  • 39
-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
-1 votes
1 answer
223 views

Convergence for symmetric, positive semi-definite operator

Assume $u$ is a vector in the Euclidean space $\mathbb{R}^N$, $\|u\|=\sqrt{\langle u, u\rangle}$, where $\langle u, v\rangle = \sum_{i=1}^N u_i v_i$. I have that $\|u^{k+1}-u\|\leq \|I - c A\|\|u^k-u\|...
loge2's user avatar
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-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

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