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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
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1 answer
173 views

Taut string algorithm and TV-minimization equivalence

Given real numbers $y_i's$, consider the following convex optimization problem: $$ \min_{x_i's} \sum_{i=1}^N(y_i-x_i)^2 + \lambda\sum_{i=1}^{N-1}|x_{i+1}-x_{i}|. $$ The paper A Direct Algorithm for 1D ...
DSM's user avatar
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0 answers
113 views

Statistical analysis of optimization solution involving Brenier potentials?

I'm reading the paper https://arxiv.org/pdf/1905.10812.pdf where strongly convex approximations to Brenier potentials are approximated. Let $\mathcal{E}$ be a partition of $\mathbb{R}^{d}$ and $ 0\leq ...
Kashif's user avatar
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0 answers
47 views

Prove that a polygon is convex over a circle

The problem Let $C_A$ (resp. $C_B$) a circle of center $A = (x_A,0)$ (resp. $B = (x_B,0)$) and radius $r_A$ (resp. $r_B$). For $k = 0,1,2,3,4$, let $D_k$ some points on $C_A$ with $D_0 = (x_0,0)$ Let $...
Tohiea's user avatar
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52 views

Minimum operator that exceeds others (in a PSD, linear matrix inequality, sense)

Given a collection of $n$ matrices $A_i$, we could ask for the $B$ such that: $$\textrm{Minimize: }\quad \textrm{Tr}[B]$$ $$\textrm{Such that: }\forall_i\, B \succeq A_i$$ Here $\succeq$ is in the ...
Alex Meiburg's user avatar
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48 views

Various definitions of coercivity

In this post one says that a functional $F:H\rightarrow [0,\infty]$ on an infinite-dimensional Hilbert space $H$ is (strongly) coercive if there exists a constant $k>0$ such that $$ F(x)\geq k\|x\|...
ABIM's user avatar
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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
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281 views

Examples of geodesically convex functions on (subsets of) $GL_n (\mathbb{R})$

I'm reading this paper [1]. To get some intuition on what a geodesically convex function is like, I'm trying to find some example in $GL_n(\mathbb{R})^+$ that is geodesically convex (near $I$). Let me ...
random humandroid's user avatar
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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
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163 views

Maximizing variance of bounded random variable through convex optimization

I am interested in maximizing the variance of a random variable $X$ supported on $[0,1]$. Formally, $$\max_{P_X: X \in [0,1]} {\rm Var}(X),$$ where $P_X$ is a distribution of $X$. This question is ...
Boby's user avatar
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82 views

What is the relation between different generalizations of linear programming?

Linear programming subsumed by each of Semidefinite programming (SDP) Convex programming (CXP) SOS programming (SSP) Is there any relation between each pair in the three? Are all three equivalent in ...
VS.'s user avatar
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40 views

Minimax theorems in nonconvex setting

Let $X$ be a topological space, $Z$ be a compact convex subset of $\mathbb R^m$, and let $f:X \times Z \to \mathbb R$ be a continuous function (w.r.t the product topology on $X \times Z$). Question. ...
dohmatob's user avatar
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78 views

Reference for the algorithm to find the intersection between a subspace and positive orthant

I came across this algorithm, in this question Algorithm for the intersection of a vector subspace with a cone of non-negative vectors ; Is there any reference for the algorithm described in the ...
Marcelo Pedro's user avatar
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67 views

What are the corners of this polytope?

Let $f$ be a non-negative function on the positive integers such that $f(s+t)\geq f(s) + f(t)$ for all $s,t\in\mathbb{Z}^+$. Consider the polytope consisting of all $x\in \mathbb{R}^n$ such that $$\...
Bob Mullins's user avatar
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103 views

strict convexity of the Legendre-Fenchel transform

Let $d$ be a positive integer. Let $L:\mathbb{R}^d\to\mathbb{R}$ be a differentiable function with continuous derivatives. Assume that the Legendre-Fenchel transform of $L$ exists everywhere, is ...
Man Ray's user avatar
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0 answers
139 views

Subgradient chain rule

Suppose $$F:\mathbb{R}^n \to \mathbb{R},\; F(x)=\mathrm{max}_\mathrm{eig}(C-\mbox{diag}(x)).$$ I am trying to find a subgradient of $F$ at $x_0$. A subgradient of $\mathrm{max}_\mathrm{eig}$ is given ...
Stephen T.'s user avatar
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150 views

Minimax optimization of diagonal entries of function of matrix

Let $\mathbf{A}$ and $\mathbf{U}$ be arbitrary complex $M\times N$ and $N\times M$ matrices, respectively. Let denote superscript $(\cdot)^{\dagger}$ and $(\cdot)^{\mathrm{H}}$ as pseudo-inverse and ...
Math_Y's user avatar
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116 views

Showing existence of a solution to an underdetermined system of equations with non-negativity constraints

Let $K$ be a positive integer, let $p\in (0,1)$, and let $\{W(k,i),W^B(k,i), \varphi_k(i)\}_{1\leq i\leq k\leq K}$ be variables. I need to prove that there exists a solution to the following system ...
Jacob's user avatar
  • 63
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0 answers
79 views

Minimization of a smooth integral functional over a closed convex set

Let $(E,\mathcal E,\mu)$ be a probability space, $I$ be a finite nonempty set, $\gamma:(E\times I)^2\to[0,\infty)$ be measurable, $$F_1(g,w):=\sum_{i\in I}\int\mu({\rm d}x)w_i(x)g(x)\sum_{j\in I}\int\...
0xbadf00d's user avatar
  • 167
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0 answers
282 views

total unimodularity of a matrix

Let G be the node-arc incidence matrix of a given directed network (rows of $G$ correspond to nodes and its columns correspond to arcs). Let $B_1,\dots, B_K$ denote a partition of the nodes of the ...
Ozzy's user avatar
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0 answers
167 views

Gradient formula for Clarke's generalized gradient on a general Banach space

In Theorem 10.27 of the book Functional Analysis, Calculus of Variations and Optimal Control, there is the following gradient formula: ($\operatorname{co}$ deotes the convex hull). Is there an ...
0xbadf00d's user avatar
  • 167
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0 answers
35 views

Convex optimization problem of determining waiting times

A subproblem of something I'm solving is to determine the optimal intermediate waiting times in a sequence of $n$ jobs. Each job $i$ has an associated waiting time $w_i$ followed by its processing ...
Knaapje's user avatar
  • 11
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0 answers
163 views

Can we reduce the maximization of this integral to the maximization of the integrand?

I would like to know whether we are able to reduce the following optimization problem to the pointwise optimization of the integrand (or how we can solve it otherwise): Maximize $$\sum_{i\in I}\sum_{j\...
0xbadf00d's user avatar
  • 167
1 vote
0 answers
188 views

Solution to a Strongly Convex Non-smooth Minimization Problem involving an L1 Norm

Let $X \in \mathbb{R}^{n \times d}, w \in \mathbb{R}^d, y \in \{\pm 1\}^{n}, \alpha \in [0,1], \lambda \in \mathbb{R}$. I have an expression that looks as follows $\frac{1}{2}\|Xw -y \|_{2}^2 + \...
user145353's user avatar
1 vote
0 answers
25 views

Weird subspace/equality-constrained LP problem/variant of change-making problem

Assume that we have a set, $\mathscr{R}$ containing $m$-dimensional vectors. Solve $$\sum_{i=1}^n c_i\leq\delta$$ $$\text{subject to } \sum_{i=1}^n r_i c_i=x^\prime \text{ for all }x^\prime$$ where $0\...
Jonathan Lee's user avatar
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0 answers
208 views

Maximum theorem with linear constraints. On parametric continuity of in optimization

Given \begin{align} s(\theta)= &\text{arg min}( g( \boldsymbol{x}) ) \\ \text{subject to }& \boldsymbol{A}(\theta) \boldsymbol{x} = \boldsymbol{b}(\theta) \\ &c_1 \le x_i \le c_2 , ...
Einar U's user avatar
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0 answers
43 views

How do I find the Rockafellar-Fenchel dual derivation of reguarlized objective function?

I'm stuck finding the dual of this optimization problem: $$ \max_{\tilde{u},\tilde{v}} \int \left( \frac{1}{2}\left\|x\right\|^2 + \tilde{u}(x)\right) \, ds(x) + \int \left( \frac{1}{2}\left\|y\right\|...
Kashif's user avatar
  • 383
1 vote
0 answers
36 views

Linear programming with a convergent coefficient

The following linear programming problem $x_n = \arg\min c_n'x \mbox{ subject to } Ax<b$ has a changing coefficient $c_n$. We have that $c_n\rightarrow c_*$. What happens to the solution $x_n$? ...
Basca's user avatar
  • 19
1 vote
0 answers
126 views

Mixed integer formulation of union of polytopes?

Given $t$ different unbounded polyhedra $P_1:A^{(1)}x^{(1)}\leq b^{(1)},\dots,P_t:A^{(t)}x^{(t)}\leq b^{(t)}$ we are looking for the representation of $\bigcup_{i=1}^tP_i$ (not their convex hull) with ...
VS.'s user avatar
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1 vote
0 answers
99 views

Finding a point on a convex set

Given a compact bounded convex set $\mathcal C\subseteq\mathbb R^n$ given by $t$ hyperplane inequalities I want to find a point $u\in\mathcal C$ such that for all $v\in\mathcal C$ a convex relation $...
VS.'s user avatar
  • 1,826
1 vote
0 answers
24 views

Simple monotonicity property for coordinate descent and linear objective functions

Let $S \subset \mathbb{R}^n$ satisfy $0\leq x_1\leq\dots\leq x_n$ for all $\mathbf{x}\in S$, among other (possibly nonconvex) constraints, and suppose in addition that $\sum_{i=1}^n x_i \geq 1$ for ...
Tom Solberg's user avatar
  • 4,049
1 vote
0 answers
37 views

Fast certficate of negativity for objective value of mixed-integer linear program

Let $c \in \mathbb R^n$, $A \in \mathbb R^{m \times n}$, $b \in \mathbb R^m$, and $I \subseteq \{1,2,\ldots,n\}$. Consider the Mixed integer linear program (MILP) $$ \begin{split} f^* = &\max \; ...
dohmatob's user avatar
  • 6,853
1 vote
0 answers
163 views

Properties of vector combinations in the non-negative orthant

Given a vector $x \in \mathbb{R}^{n}_{0+}$ such that $x = \sum^{k}_{i=1} \alpha_{i}v_{i}$, the vectors $(v_{1},...,v_{k}) \in \mathbb{R}^{n}_{0+}$ are an independent set, $k < n$, and $\alpha_{i} &...
nick.schachter's user avatar
1 vote
0 answers
102 views

When are quadratic integer programs "easy to solve"?

Let $N_i=\{0,1,\dots,\bar{n}_i\}$ and define $N=N_1\times \dots \times N_I$. I want to maximize $f$ on $N$. $f$ has the following form $$ f(n) = \sum_i A_i n_i -\sum_i \sum_{j\neq i} B_{ij} (n_i-n_j)^...
user_lambda's user avatar
1 vote
0 answers
138 views

Matrix completion in $2\times2$ case by nuclear norm minimization to guarantee rank $1$?

Does fixing diagonal entries and minimizing nuclear norm under weighted sum of entries conditions produce a rank $1$ matrix? I think the answer for this is no. At least could it be true in $2\times2$ ...
Turbo's user avatar
  • 13.9k
1 vote
0 answers
389 views

The perturbation of a convex function can also be convex?

$ W^{1,\infty}(D)\ni f:D\to\mathbb R, (x,y)\mapsto f(x,y)$, is a strictly increasing on both dimensions (i.e. if $x_1>x_2$ then $f(x_1,y)>f(x_2,y)$), lipschitz continuous function defined on a ...
High GPA's user avatar
  • 263
1 vote
0 answers
70 views

Solve simple stochastic variational inequality

Let $Z$ be a random variable with finite mean $\mathbb E[Z]$ and let $\phi:(-\infty,\infty) \rightarrow (-\infty,\infty]$ be a convex l.s.c function which is differentiable at $z=1$ with gradient $\...
dohmatob's user avatar
  • 6,853
1 vote
0 answers
74 views

How to minimize n-polytope's bounding box with linear transformation?

I am working on an exact algorithm for integer linear programming for my master's thesis: $Ax\leq b, x \in \mathbb{Z}^n$ $cx\rightarrow min$ For my idea to work out, I need a guarantee that n-...
Иван Шумилов's user avatar
1 vote
0 answers
59 views

Lower semicontinuity of proximal gradient descent sequence

I'm using an alternate optimization scheme to minimize a function $F(a,b,c) = G(a,b,c) + H(c)$ where $G$ is continuous and differentiable, $H$ is not differentiable but lower semi-continuous and ...
GrosPanda's user avatar
1 vote
1 answer
266 views

Relative interior of a normal cone at a face of a convex polytope?

Suppose $A$ is a nonempty convex polytope in $\mathbb{R}^n$. Suppose $F$ is a face of $A$. Consider the normal cone of $A$ at $F$: $C_A(F)=\{v\in\mathbb{R}^n:v\cdot x\geq v\cdot y\ \forall\ x\in ...
Yi-Hsuan Lin's user avatar
1 vote
0 answers
66 views

On number of solutions by simplex and number of solutions in total in a linear optimization problem?

This is more of a clarification query. Mizuno http://www2.ims.nus.edu.sg/Programs/012opti/files/talk_mizuno1.pdf says if we give a linear optimization problem $$\max c'x$$ $$Ax\leq b$$ where $A\in\...
Turbo's user avatar
  • 13.9k
1 vote
0 answers
62 views

LP Constraints for Bridgeless Cactus Graphs

When trying to determine the optimal bridgeless spanning cactus graph of a weighted, symmetric graph, I got stuck. What I do not know how to capture, is the variable number and sizes of the cycles ...
Manfred Weis's user avatar
  • 13.2k
1 vote
0 answers
60 views

On the defect of a flow network

This problem in graph theory was actually motivated by some problems in Theory of Fractals. To formulate the problem I need to recall some definitions related to flow network. A flow network is a ...
Taras Banakh's user avatar
  • 41.8k
1 vote
0 answers
86 views

Infinite system of equations with finitely many constraints

During my research I have stumbled upon the following issue concerning infinite systems of linear equations. I do not have much practice in such settings, so I am asking you whether the following ...
Damian Sobota's user avatar
1 vote
0 answers
53 views

Projecting two convex polyhedra onto their intersection

Suppose we are given two convex polyhedra $\mathcal{C}_1, \mathcal{C}_2 \subset \mathbb{R}^n$ with non-empty intersection $\mathcal{C}_1 \cap \mathcal{C}_2 \neq \emptyset$. For the orthogonal ...
madison54's user avatar
  • 337
1 vote
0 answers
44 views

In convex optimization we know that the optimum solution is on which hyper plane

We have a standard linear program, I mean a set of inequalities $c_i^Tx\leq b_i$ where $i\in \{1,\ldots ,k\}$ and we want to find $max\{c^Ty| y\in \{\cap \{x|c_i^Tx\leq b_i\}\}$. I put some condition ...
Nothing's user avatar
  • 19
1 vote
0 answers
384 views

Complexity of conic optimization problems

I am interested in bounding the computational complexity of the interior points method for solving a generic conic problem of the form \begin{equation} \min_x \left\{ c^T x : \mathcal{A}x-B\in\mathbf{...
mermeladeK's user avatar
1 vote
0 answers
105 views

How is the minimax oracle used to find the oracle complexity of projected subgradient?

I am going through a set of blog posts on the complexity of projected gradient method. https://blogs.princeton.edu/imabandit/2013/03/15/orf523-oracle-complexity-large-scale-optimization/ defines the ...
Coco Jambo's user avatar
1 vote
0 answers
70 views

Lipschitz of the minimum curve of a convex function of two variables

Let $f(x,y)$ be a function in two real variables. Assume that $f$ is strictly convex by which I mean $f(x,y) - c(|x|^2 + |y|^2)$ is convex for some $c>0$. Assume for each $x$ there is a unique $...
JRoss's user avatar
  • 280
1 vote
0 answers
261 views

Prove that the following set of triples forms a convex polytope

Take $a,\,b,\,c,\,d \in \mathbb R_+$ such that $a+b+c+d=1$. Define: \begin{equation} x_1 = \min(a+b,\,c+d)\,,\qquad x_2 = \min(a+c,\,b+d)\,,\qquad x_3 = \min(a+d,\,b+c)\;. \end{equation} I would like ...
jvn99's user avatar
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