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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
2 votes
1 answer
175 views

Optimization over permutation

The Problem This is the problem I am working on: Given a set $X = \{x_1, x_2, \cdots , x_n\}$ in a metric space, find an optimal ordering $\pi : X \rightarrow X$ that maximizes the following objective ...
Honglian's user avatar
2 votes
1 answer
274 views

Can we say this nonlinear integer programming problem is NP-hard?

I was wondering if the following nonlinear integer programming problem is NP-hard or not. $$\max_{x_i \in \{0,1\}} \frac{\sum_{i=1}^{n}a_i x_i}{\sqrt{\sum_{i=1}^{n}b_i x_i}}$$ such that $\sum_{i=1}^{n}...
Anson's user avatar
  • 21
1 vote
2 answers
121 views

How to solve the optimization problem $\max_{\mathbf{w}}\sum_i\text{sign}(\mathbf{w}^T \mathbf{x}_i)$?

I am looking for an algorithm to solve the following optimization problem $$\max_{\mathbf{w}}\sum_i\text{sign}(\mathbf{w}^T \mathbf{x}_i)$$ where $\mathbf{w}$ and each $\mathbf{x}_i\in\mathbb{R}^d$. ...
user3750444's user avatar
3 votes
1 answer
344 views

How to find the maximum of a sum of squares of sums?

Is there any better than a brute force method for finding the maximum $$\max\limits_{ (d_{1},\dots,d_{n}) \in \mathbb Z_{m}^{n}} \sum_{j=0}^{m-1} \left(\sum_{i=1}^{n}v_{i,(j+d_{i})\bmod m}\right)^{2}$$...
user avatar
0 votes
1 answer
143 views

Transformation of an unconstrained binary quadratic optimization problem into a constrained binary linear programming problem

I know that a constrained linear optimization problem can be transformed into an unconstrained binary quadratic optimization problem (UBQP). Does anyone know if the inverse result is solved in the ...
UnclePetros's user avatar
0 votes
1 answer
128 views

What is the computational complexity of the calculation of $ \Psi(x) $?

What is the computational complexity of the calculation of $ \Psi(x) $ described below: Let $\left\{ f_i : \{0,1,\dots,m\} \to \mathbb{R} \right\}_{i=1}^n$. For each $x \in \{0,1,\dots,m\}$ we ...
José María Grau Ribas's user avatar
2 votes
0 answers
70 views

Monotone rearrangements of function, constrained optimization in $\mathcal{L}^p$

By $\mathcal{S}$ let us denote the set of such step functions $f:[0,1]\to [0,1]$ that additionally satisfy: $$\forall_{ x>\frac{1}{2}} \ \ \lambda\Big(f=x\Big) \ = \ x\cdot \Big[\lambda\Big(f=x\Big)...
user avatar
2 votes
0 answers
66 views

Minimizing a certain norm of the identity operator on $\mathbb R^2$

$\newcommand\R{\mathbb R}\newcommand\Q{\mathcal Q}$For mutually orthogonal vectors unit vectors $a=[a_1,\dots,a_n]^T$ and $b=[b_1,\dots,b_n]^T$ in $\R^n=\R^{n\times1}$ (so that $n\ge2$) and for all $x=...
Iosif Pinelis's user avatar
5 votes
1 answer
332 views

On a certain norm of the identity operator on $\mathbb R^2$

$\newcommand\R{\mathbb R}\newcommand\Q{\mathcal Q}$For mutually orthogonal vectors unit vectors $a=[a_1,\dots,a_n]^T$ and $b=[b_1,\dots,b_n]^T$ in $\R^n=\R^{n\times1}$ (so that $n\ge2$) and for all $x=...
Iosif Pinelis's user avatar
2 votes
0 answers
101 views

Sparse signal recovery (nonlinear case)

Let $K \subset \mathbb{R}^n$, it may be that $K$ is "very thin" (e.g. $K$ is a $k$-dimensional affine subset of $\mathbb{R}^n$, with $k \ll n$). I'm interested in the case where $K$ is ...
Sébastien Loisel'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
1 vote
0 answers
190 views

linear relaxation of an optimization problem

I'm reading an article lately, and there is one point which confuses me. So, we have the following constrained binary quadratic problem. min $x^{T}Qx$ with the constraints that $Ax\leq b$ and $x\in ...
study's user avatar
  • 11
2 votes
1 answer
107 views

Does this simple non-convex problem involving discrete phase shifts have an exact solution?

Let the optimization problem be \begin{equation} \max_{\phi_n} \left|\sum_{n=1}^N e^{i\phi_n} a_n \right|, \end{equation} where $a_n\in\mathbb{C}$ and the optimization variables have discrete phase ...
mermeladeK's user avatar
2 votes
1 answer
188 views

$0/1$ programming multiple quadratic constraints

If we have an $n$-variable rank $n$-linear system it is clear we can find whether there exists a $0/1$ solution in polynomial time. If we have an $n$-variable degree $2$ system how many constraints ...
Turbo's user avatar
  • 13.9k
6 votes
1 answer
5k views

max-min optimization problem

I'm curious if there is any nice way to approach solving the following kind of optimization problem. Given a $n \times m$ matrix $A = (a_{ij})$, I want to solve \begin{align*} & \max_{c}\min_{1 \...
Mark Hubenthal's user avatar
1 vote
0 answers
131 views

Lower bound on the value $\textbf{1}^Tx$ such as $Ax\geq b$

The problem may be formulated as follows: We are given a set of $m$ positive numbers $\{b_1,...,b_m\}$ and a set of $n$ positive numbers $\{v_1,...,v_n\}$. We have $v_j\leq K$, $j=1,...,n$, for a ...
user2370336'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
2 votes
1 answer
199 views

Optimization over symmetric polynomials

Consider the following constraint satisfaction problem: Let $\alpha_1 , \ldots, \alpha_k \in \mathbb{R}$ be given as well as an error parameter $\epsilon$. Find $p_1, \ldots, p_n$ such that (i) $0 \...
Anindya De's user avatar
4 votes
0 answers
522 views

Solution of a linearly constrained quadratic programming problem [closed]

What is the solution of the following optimization problem: \begin{align} &\min{\mathbf{p}^\mathrm{T} \mathbf{B} \mathbf{p}}\\ &\text{subject to}: \mathbf{0}\leq{\mathbf{p}}\leq \mathbf{1}. \...
mohsenh01's user avatar
1 vote
1 answer
370 views

Maximizing a certain concave function over a non-convex set

I have been working on a problem which involves maximizing a concave function over a non convex constraint set. The problem is the following $$max. \frac{1}{2}x^TBx\\ s.t.\ x_i(1-x_i)=0,\ \ i=1,\cdots,...
Samrat Mukhopadhyay's user avatar
4 votes
1 answer
396 views

Optimization problem - maximizing number of satisfied linear inequalities subject to a quadratic constraint

I am wondering what is known about optimization problems of the following type. Our control x is a unit vector in $\mathbb{R}^n$. We are given a finite number of linear inequalities $$Az≥b,$$ and we ...
user21277's user avatar
  • 185
5 votes
1 answer
3k views

Maximizing supermodular functions

I have a real supermodular objective function which I want to maximize with constraint. The constraint is on the size, like |A|=k . I am wondering if anyone can give me more information about a ...
Majid Yazdani's user avatar