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6 votes
0 answers
74 views

Roundest polyhedra: how well can we bound the edge count of their faces?

By "roundest" I mean having the lowest surface area for the highest volume, given a fixed number of faces $n$. There've been a few questions about them on here (including from me), but I'm ...
Robin Saunders's user avatar
4 votes
0 answers
539 views

Using Linear Programming as an iterative procedure

Suppose, we have a linear program and an optimal solution to it. Suppose now, we get a new constraint. We want to obtain an optimal solution to the given linear program extended by that new constraint....
D. Rusin's user avatar
  • 391
4 votes
0 answers
163 views

Convexified threshold of a function

Upd. The question in a nutshell: find convex set on plane which is «closest» to a given non-convex set. It is given integrable function $0\leq f(x,y)\leq 1$ with bounded support: $f(x,y)=0$ when $x^2+...
Anton Sukhinov's user avatar
3 votes
1 answer
208 views

Approximation of Poset

Let $(X,\leq)$ be a poset, $X=\{x_1,x_2,...,x_n\}$. Preference matrix $\textbf{P}=[p_{ij}]$ (which is known and fixed), satisfies $p_{ij}=1-p_{ji},p_{ii}=\frac{1}{2}$, and $$\forall i \neq j, x_i \leq ...
Mixi Andrew's user avatar
3 votes
0 answers
121 views

Matrix inequality $a X \succeq arcsin(X)$ for some $a > 0$

Let $X \in S^{n}_{+}$ be a positive semi-definite matrix with $X_{ii} = 1$ for all $i \leq n$ (thus $X$ is a correlation matrix). Since $X$ is positive semi-definite, we have $|X_{ij}| \leq 1$ for any ...
zxzx179's user avatar
  • 205
3 votes
1 answer
269 views

Optimal rule for multiple stopping times for defect finding

Suppose a quality inspector is inspecting $b$ black amongst which $d_B$ are known to be defective and $w$ white gadgets amongst which $d_W$ are known to be defective. The gadgets come down along an ...
Hans's user avatar
  • 2,239
3 votes
2 answers
287 views

Probability that the solution to a combinatorial optimization problem changes after random modifications

Given a combinatorial optimization problem, say the Traveling Salesman Problem, the optimal solution is a set of elements (edges in this case) that satisfy certain constraints (constituting to a ...
Manfred Weis's user avatar
  • 13.2k
2 votes
0 answers
120 views

How to solve $\min_{\mathbf{x}\in \{\pm 1\}^N} \lVert \operatorname{sign}(\mathbf{Wx}) - \mathbf{y} \rVert_2^2$ where $\mathbf{y}\in \{\pm 1\}^N$?

Given the matrix $\mathbf{W} \in \mathbb{R}^{N \times N}$ and the vector $\mathbf{y} \in \{\pm 1\}^N$, how to solve $$\min_{\mathbf{x}\in \{\pm 1\}^N} \left\| \operatorname{sign}(\mathbf{Wx}) - \...
user3750444's user avatar
2 votes
0 answers
119 views

Modified quadratic assignment problem

Let $Y,Z$ be $n\times k$ matrices and assume all columns have been standardized such that their means are zero and variances 1. I seek an $n\times n$ permutation matrix $P$ such that $$\left\Vert Y^{T}...
nothing's user avatar
  • 133
2 votes
0 answers
56 views

A variant of the elliptope relaxation

Given a p.s.d. matrix $A$, one may want to find: $$ \max_x x^t A x \mbox{ such that } x \mbox{ has entries }1 \mbox{ or } {-1}. $$ This hard problem has a well known relaxation based on the so called ...
alesia's user avatar
  • 2,772
2 votes
1 answer
240 views

Basis pursuit algorithms for exponentially large matrices?

Are there any efficient algorithms/heuristics for basis pursuit for exponentially large matrices? That is $$\begin{array}{ll} \underset{x \in \Bbb R^n}{\text{minimize}} & \lVert x \rVert_0\\ \text{...
user1576720's user avatar
2 votes
1 answer
329 views

Worst case performance of heuristic for the non-Eulerian windy postman problem

The windy postman problem seeks the cheapest tour in a complete undirected graph, that traverses each edge at least once; the cost of traversing an edge is positive and may depend on the direction, in ...
Manfred Weis's user avatar
  • 13.2k
2 votes
1 answer
710 views

$0$-"norm" minimization with least-squares regularization

I have the following optimization problem in $\mathbf{x} \in \mathbb{R}^{K \times 1}$ $$\min_{\mathbf{x}>0} \quad \|\mathbf{A}\mathbf{x}\|_0 + \alpha \|\mathbf{B}\mathbf{x}-\mathbf{c}\|_2^2$$ ...
Michael Fan Zhang's user avatar
2 votes
0 answers
81 views

Solving Mixed-Integer Non-Linear Optimization Problem

I would like to solve the following optimization problem: \begin{array}{ll} \underset{x_{i}\geq0,\, \pi_{i}\in\{0,1\}}{\text{minimize}} & \displaystyle\sum_{i=1}^n x_i\\ \text{subject to} & ...
A.Fadhil's user avatar
2 votes
0 answers
46 views

What is known about the relation of the multiple salesman problem and the travelling saelsman problem?

The travelling salesman problem (TSP) is well known (https://en.wikipedia.org/wiki/Travelling_salesman_problem). Let us look at the Euclidean TSP throughout this question. There is a generalization ...
modnar's user avatar
  • 61
1 vote
1 answer
86 views

Complexity of calculating the optimal amalgamation of an optimal cycle-cover

Let $G(V,E)$ be a complete symmetric graph with positive edge weights and let further $\mathcal{C}=\lbrace C_1,\,\cdots\,C_k\rbrace$ be the minimum-weight vertex-disjoint cycle cover. The set $E$ of ...
Manfred Weis's user avatar
  • 13.2k
1 vote
0 answers
96 views

Relationship between Wasserstein projections and metric projections in a linear space

Let $(X,d)$ be a metric space, $x\in X$, and $Y\subset X$ is a closed set. Assume that $X$ is also a real vector space, so that we can form linear combinations over $\mathbb{R}$, but I do not assume ...
user489304's user avatar
1 vote
0 answers
38 views

Structural properties of polytopes for mainstream integer or linear programs

Are there any papers/textbooks/monographs that describe distinguishing properties of the polytopes that arise when solving the linear relaxation of well-known integer programs? For example, it is ...
Tom Solberg's user avatar
  • 4,049
1 vote
1 answer
444 views

Looking for an efficient way of maximising 'pair scores' for subset of 30 selected from 50 to 10 000 objects

Context: I have a tiling program that uses a directed breadth first search algorithm. It is 'directed' by what I call 'pair scoring'. There are $N$ polyforms (pieces) used in the tiling. I have an $N\...
theonetruepath's user avatar
1 vote
0 answers
37 views

Asymptotics for a random set cover problem

Suppose you are given a positive integer $k$ and a probability distribution $f$ on the positive reals. I am interested in the limiting behavior of the following process as $n\to\infty$: Create an ...
Tom Solberg's user avatar
  • 4,049
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
22 views

Alignment of unit vectors under graph-neighbor constraints with a global vector

Statement Let $G = (V, E)$ be a connected, unweighted, and undirected graph with $n$ nodes, represented by its adjacency matrix $A$. Suppose each node $i$ is associated with a unit vector $ \mathbf{v}...
user545937's user avatar
0 votes
1 answer
236 views

Solving a 0-1 quadratic matrix inequality

I am working on a binary optimization problem. So far I have derived the following constraint functions. \begin{align} \begin{bmatrix} \left( P + \sum_{i=1}^n (\sum_{j=1}^n x_{i, j} \alpha_j) e_i e_i^...
zycai's user avatar
  • 11
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
0 votes
0 answers
68 views

Optimal top-k column subset

Let $V$ be a set of vectors over $\mathbb{R}^l$, $l\ge 1$, $\pi_i(V)$ be the permutation of vectors in $V$ such that they are ordered by their $i$th component (descending) in order for $\pi_i(V)(\...
Eli Bixby's user avatar
  • 101
0 votes
0 answers
96 views

Why is Gaussian distribution always chosen for smoothed analysis?

I came across the algorithmic perfomance analysis model of smoothed analysis. In all references that I read a Gaussian distribution was used for perturbation (e.g. Spielman and Teng 2004 for the ...
mc.math's user avatar
  • 29
0 votes
0 answers
127 views

Maximizing a vector after a series of matrix multiplications

Problem Statement Let's say we have a set of $n\times n$ matrices $X=\{M_1,\ldots,M_r\}$ and weights of these matrices $\{w_1,\ldots,w_r\}$ along with a set of "initial vectors" $\{v_1,\...
exfret's user avatar
  • 509
0 votes
0 answers
68 views

Under which conditions discrete versions of convex\concave function are submodular/supermodular?

I have $f(x)$ with $x \in [0,1]$ and $f(x)$ is convex, then, under which conditions discrete function which is defined as $f(x_h)$ on discrete subset of $[0,1]$, for example, $x_h \in \{0, h, 2h, \...
Moonwalker's user avatar
0 votes
0 answers
47 views

Complexity of optimizing a bi-objective function with integer constraints

I have two different objective functions, each of which can be solved optimally in polynomial time. Does this mean, I can optimize a linear combination of these objective functions in polynomial time ...
Arani's user avatar
  • 121