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2 votes
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Why not use global optimization algorithms like PSO to solve decentralized control problems?

I do not see many works that use global optimization algorithms to solve decentralized control problems. Here the decentralized control problem means some entries of the feedback matrix are ...
fibon's user avatar
  • 21
0 votes
0 answers
165 views

Minimum circumscribed ellipsoid of $\mathcal H$-polytope

Given matrix $A \in \mathbb{R}^{m \times n}$ and vector $b \in \mathbb{R}^n$, consider the $\mathcal H$-polytope $P$ defined as follows $$ P := \left\{ x \in \mathbb{R}^n : Ax \leq b \right\} $$ I ...
Daniel Turizo's user avatar
0 votes
0 answers
137 views

Any technique for linearization, or linear approximation?

Consider the following Matrix constraint: $$ \begin{bmatrix} -U+\psi\Sigma_b^{-1} & V \\ V^T & -V^TU^{-1}V+\tau_2 -\psi \end{bmatrix} \leq 0 $$ where $\Sigma_b$ is a known positive definite ...
Navid Hashemi's user avatar
0 votes
1 answer
131 views

How hard is a linear programming with a bounded constraint?

Background: I am reading Greg Kuperberg's answer to the question Deciding membership in a convex hull. I am thinking about the complexity of ''Deciding membership in a convex hull''. Restate the ...
Inner_peace's user avatar
1 vote
0 answers
54 views

Nested, successive minimization solved by asympotic minimization?

I am curious about the general relation between nested, successive minimization (M1) and asymptotic minimization (M2) as defined in the following. What one wants is to implicitly minimize a sequence ...
Sebastian K.'s user avatar
3 votes
0 answers
282 views

Continuum of Lagrange multipliers, duality gap, and minimax theorem

Suppose I have a linear optimization problem involving random variables on some (infinite) probability space $\Omega$. For example, need to maximize expectation $E[Q]$ of random variable $Q$ subject ...
Bogdan's user avatar
  • 781
0 votes
1 answer
213 views

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
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
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
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
4 votes
1 answer
90 views

Do Pareto critical points of a multicriteria optimization problem form an attractor of the dynamical system induced by a descent algorithm?

Let $d\in\mathbb N$, $k\in\mathbb N$ and $f:\mathbb R^d\to\mathbb R^k$ be differentiable. Say that $v\in\mathbb R^d$ is a descent direction at $x\in\mathbb R^d$ if ${\rm D}f(x)v<0$ (component-wise) ...
0xbadf00d's user avatar
  • 167
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
0 votes
1 answer
146 views

What to call a function that is negative on a set

Let $Y$ be a nonempty region in $\mathbb{R}^n$. I am designing an algorithm which given a point $x_0$ outside $Y$ in a finite number of steps lead to a point $x_n∈ Y$. The way I do it is that I have a ...
Slava Rychkov's user avatar
5 votes
1 answer
242 views

Minimizing the largest eigenvalue of matrix product

Let $A\in\mathbb{C}^{m\times n}$, $B\in\mathbb{C}^{n\times k}$, $C\in\mathbb{C}^{k\times m}$ be given complex matrices. The objective of the optimization problem is \begin{equation} \mathop {\arg \min ...
hichem hb's user avatar
  • 377
16 votes
1 answer
508 views

Can solutions to Thomson's problem have pentagons?

Thomson's problem asks for the minimum-energy configuration for $N$ electrons on a sphere (refs: https://en.wikipedia.org/wiki/Thomson_problem, https://sites.google.com/site/adilmmughal/...
Alex Meiburg's user avatar
  • 1,203
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
0 votes
1 answer
329 views

Gradient-descent "type" Methods for non-convex and non-smooth functions

Most (stochastic) "gradient descent" type algorithms (such as Nesterov-accelerated gradient-descent or ADAM) seem to be well-defined only for functions which are either: lower semi-...
ABIM's user avatar
  • 5,405
0 votes
1 answer
159 views

Prove zero slope point is global maximum for constrained function with binomials. Without restriction, objective function is non-concave

How to prove the zero slope point is a global maximum in this non-concave program for a function with binomials? I need to find the (global) maximum of the following constrained problem: $$\max_{CAP} \...
Silvester'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
0 votes
1 answer
445 views

Properties of $l_q$-balls

For a given $q\in (0,1]$, define the $l_q$-ball as $$\mathbb{B}_q(R_q)\mathrel{:=}\left\{\theta\in\mathbb{R}^d\,\middle\vert\,\sum_{j=1}^d \lvert\theta_j\rvert^q\leq R_q \right\}. $$ For a given ...
Hepdrey's user avatar
  • 100
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
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
0 answers
49 views

A question about strong slopes (nonsmooth analysis)

Context. I'm reading the manuscrip "Nonlinear Error Bounds via a Change of Function" by Dominique Azé and Jean-Noël Corvellec (J Optim Theory Appl 2016), and I'm having a hard time ...
dohmatob's user avatar
  • 6,853
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
4 votes
0 answers
236 views

Fréchet subdifferentiation on riemannian manifolds

Context. I'm looking for a "natural" definition of subdifferentials on riemannian manifolds. Given a function $F:\mathbb R^m \to \mathbb R$, its Fréchet-subdifferential at a point $w \in \...
dohmatob's user avatar
  • 6,853
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
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
0 votes
0 answers
36 views

Optimizing upper and lower bounds

Let $L_i:X\rightarrow [0,\infty)$ be continuous (objective) functions defined on a metric space $X$ and suppose that $$ L_1(x)\leq L_2(x)\leq L_3(x)\qquad (\forall x \in X). $$ Here, I imagine that $...
ABIM's user avatar
  • 5,405
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
0 votes
0 answers
242 views

Exponential map and optimization

Apologies in advance for being somewhat vague. I'm trying to get pointers to establish a connection between a common trick used in practice in optimization, and the exponential map in differential ...
Athere's user avatar
  • 93
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
3 votes
1 answer
252 views

Measurable selection for argmin to distance

Let $Y$ be a Banach space and equip $Y$ with the weak topology. Now, let $X$ be a closed, bounded, and convex subset of $Y$ and suppose that the relative (weak) topology on $X$ is metrizable with ...
ABIM's user avatar
  • 5,405
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
0 votes
0 answers
108 views

Solutions to matrix equations in the non-negative integers

For an integer matrix $S$, and an integer vector $y$, I'm looking for solutions to $xS = y$ where the entries in $x$ are in the non-negative integers. I've been doing this with Sage's mixed integer ...
JonHales's user avatar
  • 101
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
1 answer
149 views

K-means clustering benchmarks [closed]

What benchmarks do you use for evaluating clustering algorithms, especially for evaluating the performance of K-means vs. another algorithm? I am especially interested in looking at the correctness of ...
dalex1's user avatar
  • 21
-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
3 votes
0 answers
136 views

What is the convergence rate of the iterative optimization method?

For the following optimization problem: $$ \mathrm{min}_{A,B} \|I-A^{T}XB\|^2 + \lambda\|B\|^2, $$ where $A$ and $B$ are the two variables ($\|A\|^2 \le \rho$ where $\rho$ is a constant, e.g. 1), the ...
Shijie Pan's user avatar
2 votes
0 answers
46 views

Notion of distance between linear programs

Consider the linear programming problem \begin{align} \max_{x}&~c^Tx \\~s.t.~~a^Tx &\leq B~,~0\leq x_i \le1 \end{align} where $c$ and $a$ are $n \times 1$ given non-negative vectors. $B$ is a ...
dineshdileep's user avatar
  • 1,421

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