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This function looks quasiconvex, can't understand why

Suppose that $\mathbf{C}$ is a given matrix with non-negative entries in $\mathbb{R}^{m\times n}$ and $d$ is a given scalar, and let $g(\mathbf{y})$ be defined by $$g(\mathbf{y}):=\max_{\mathbf{x}\in\...
Richard Senn's user avatar
4 votes
0 answers
168 views

Are there some numerical test to check if a map is a contraction?

Let's say I have a multivariate function $$ f:D \to D, D \subset \mathbb R ^n, D \text{ compact}, $$ for which there is no closed form. That is the only way to evaluate the function is to do it ...
user avatar
4 votes
0 answers
115 views

Sufficiency of stationary policy for negative stochastic dynamic programming

Consider a Markov Decision Process with Borel state space $X$ and Borel action space $U$, like the one defined in the book "Stochastic Optimal Control: Discrete-time case" by Bertsekas and Shreve. All ...
SBF's user avatar
  • 1,655
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
4 votes
0 answers
101 views

Applications of k-medians with moment constraints

Suppose I have a collection of points $p_1,\dots,p_N$ in the plane. In the Euclidean $k$-medians (or $k$-means) problems, our objective is to distribute a set of $k$ points $x_1,\dots,x_k$ in the ...
John Gunnar Carlsson's user avatar
4 votes
0 answers
195 views

restricting "dances of minimal cost" (optimization on braids/permutations?)

Consider applying the permutation (1,3,0,5,2,7,4,6) to the integers (0,1,2,3,4,5,6,7) three times. I call this a "dance of minimal cost" because all unordered pairs in {0..7} meet each other, and the ...
Fumiyo Eda's user avatar
4 votes
0 answers
338 views

Can the Littlewood-Richardson cone be used for combinatorial optimization?

The Littlewood-Richardson cone $LR_{n, k}$ consists of all $k-$tuples $(a_1, a_2, \dots, a_k)$ of real $n-$vectors with monotonically decreasing entries such that there exist $k$ $n \times n-$...
Hari's user avatar
  • 313
4 votes
0 answers
790 views

Is it possible to use linear programming to solve this problem?

I am trying to write software to minimize pricing for cell phone subscription services, ie: choose the optimum plan for each customer in a large group. Could someone comment on whether this is ...
user6546's user avatar
4 votes
0 answers
696 views

Dynamic programming principle (DPP)

In stochastic control problem, one shall use the measurable selection theorem to prove DPP. It was discussed in discrete time case in [Bertsekas and Shreve 1978]. Is there unified framework in ...
kenneth's user avatar
  • 1,399
3 votes
0 answers
107 views

Stability of a nonlinear dynamical system with non-elementary dynamics

I am trying to prove stability and get a non-asymptotic upper bound on the convergence rate of a nonlinear discrete-time dynamical system, whose dynamics are stated in terms of the (non-elementary) ...
mtcrawshaw'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
182 views

Asymptotics for optimal survival time in a stochastic control problem

An individual, henceforth called the runner starts at the center of an open ball $\Omega_r \subset \mathbb R^2$ of radius $r > 1$. At each turn, a vector $x \in S^1$ is chosen uniformly at random, ...
Nate River's user avatar
  • 6,155
3 votes
0 answers
105 views

Techniques for solving linear inequalities

For $n$ real variables $x_1, \ldots, x_n$, I have a bunch of inequalities of form $2 x_i > x_j + x_k$ or $2 x_i < x_j + x_k$, where $i,j,k$ are distinct. My goal is to determine whether this set ...
Dmitry's user avatar
  • 231
3 votes
0 answers
93 views

Sum-of-guesses-minimization problem (also does this problem already exist in the literature)?

Inspired by some recent real-world situations, I thought of this problem: An adversary has selected a positive real number $p \ge 1$ not known to you. You have to pick numbers $x_1, x_2, \dots$ in ...
Vipul Naik's user avatar
  • 7,320
3 votes
0 answers
91 views

What is the name for this type of optimization problem?

As we all know, a classic optimization problem can be represented in the following way: Given a function $f: A \to \mathbb{R}$, find an element $x_0 \in A$ such that $f(x_0) \le f(x)$ for all $x \in ...
Shaun Han's user avatar
  • 141
3 votes
0 answers
97 views

Projection onto level set of convex functional

Fix a probability space $(\Omega,\mathcal{F},\mathbb{P})$ and let $F:L^2_{\mathbb{P}}(\mathcal{F})\rightarrow (-\infty,\infty]$ be bounded-blow, convex, lower semi-continuous, and not identically ...
ABIM's user avatar
  • 5,405
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
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
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
3 votes
0 answers
87 views

Bounds on minimum solutions to empirical and theoretical objective functions

Let $P$ and $Q$ be two probability distributions and let $$S_0 = \min_{f,g} \left[ \int f(x)\, dP(x) + \int g(y)\, dQ(y) \right]$$ such that $f(x)+g(y) \geq \langle{x,y\rangle}$ where $f,g$ are ...
Kashif's user avatar
  • 383
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
3 votes
0 answers
130 views

Shape derivative of boundary integrals and differentiability of the integrand on a tubular neighborhood

Let $d\in\mathbb N$, $U\subseteq\mathbb R^d$ be open, $$\mathcal A:=\{\Omega\subseteq\mathbb R^d:\Omega\text{ is bounded and open},\overline\Omega\subseteq U\text{ and }\partial\Omega\text{ is of ...
0xbadf00d's user avatar
  • 167
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
0 answers
240 views

Optimization with parametric constraints: solution maps

For constrained optimization problems $$ \begin{array}{ll} \min\limits_{x \in \mathbb R^n} & f(p, x) \\ \text{s.t.} & x \in C \end{array} $$ where $p \in \mathbb R$ is a parameter, we can ...
Rubi Shnol's user avatar
3 votes
0 answers
163 views

A new "adversarial" Wasserstein distance?

Let us consider $\mu_1, \mu_2$ and $\mu_3$ three probability measures living on $[0,1]^{k_1}, [0,1]^{k_2}$ and $[0,1]^k$respectively, with $k_1 +k_2=k$. Let us denote by $\Gamma(\mu,\nu)$ the set of ...
Gilles Mordant's user avatar
3 votes
0 answers
190 views

Necessary optimality condition for quadratic programming: a solution of a constrained QAP is a solution of a LP

I have a concern about a result given by Murty in [1] and also written by Floudas and Visweswaran in [2] They consider a QP: \begin{array}{ll}{\min _{x} Q(x)} & {=c^{T} x+\frac{1}{2} x^{T} D ...
Titouan Vayer's user avatar
3 votes
0 answers
255 views

How can we solve this kind of saddle point problem?

I'm trying to solve a saddle point problem of the following form: Let $(E,\mathcal E,\lambda)$ be a measure space; $p$ be a probability density on $(E,\mathcal E,\lambda)$ and $\mu:=p\lambda$ $W$ be ...
0xbadf00d's user avatar
  • 167
3 votes
0 answers
73 views

Spectrum of a symmetric saddle point matrix

Let $C=\left[ {\begin{array}{cc} A & B^{T} \\ B & O \\ \end{array} } \right]$, where $A\in \mathbb{R}^{n\times n}$ is SPD, $B\in \mathbb{R}^{m\times n}$ and $m\leq n$. The matrix $B$ ...
math1223's user avatar
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
3 votes
0 answers
202 views

Maximize an $L^p$-functional subject to a set of constraints

Let $(E,\mathcal E,\lambda)$ and $(E',\mathcal E',\lambda')$ be measure spaces $f\in L^2(\lambda)$ $I$ be a finite nonempty set $\varphi_i:E'\to E$ be bijective $(\mathcal E',\mathcal E)$-measurable ...
0xbadf00d's user avatar
  • 167
3 votes
0 answers
111 views

Approximate inverse of large sparse matrix

Given a large sparse matrix $M$, how to determine the existence of a good preconditioner? In other words, does there exist a sparse matrix $X$ such that $X M$ is close to the identity with respect to ...
Jianqiang Li's user avatar
3 votes
1 answer
283 views

Latent Dirichlet allocation and properties of digamma function

In the paper Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research, 3(4–5), 993–1022. http://www.jmlr.org/papers/volume3/blei03a/blei03a....
sunxd's user avatar
  • 191
3 votes
0 answers
178 views

Uniqueness of projection under spectral norm

I am considering $$ \min_{M\in \mathcal{M}} \|X - M\|:=x \neq 0, $$ where $X$, $M$ are $m\times n$ matrices, $\|\cdot\|$ is spectral norm and $\mathcal{M}$ is a matrix subspace. I wonder to what ...
Doris's user avatar
  • 131
3 votes
0 answers
265 views

Equal principal minors of matrix plus rank-1 and inverse

Given an invertible real matrix $A$ and real column vectors $b$ and $c$. For which $A$, $b$ and $c$ are all corresponding principal minors of $B = A-bc^T$ and $A^{-1}$ equal? According to a ...
Jiro's user avatar
  • 909
3 votes
0 answers
244 views

An inequality concerning the solution of a Lyapunov equation

Let $A$ be an Hurwitz stable matrix (i.e. the real part of the eigenvalues of $A$ lie in the left-half plane) and $Q$ be a positive semidefinite matrix ($Q\ge 0$, for short). Let $P>0$ be the ...
Ludwig's user avatar
  • 2,712
3 votes
0 answers
373 views

How to promote a blog?

Math behind might be interesting. Quite recent bloggingg activity might have interesting math model. The point is that bloggers compete for subscribers and at the same time cooperate gaining ...
Alexander Chervov's user avatar
3 votes
0 answers
248 views

Solve Huber's M-Estimation using quadratic programming

The Huber's M-estimate is to solve the problem $$\underset{\mathbf x}{\rm{minimize}} \rho(\mathbf b-\mathbf A\mathbf x) + \alpha|\mathbf x|$$ where $$ \rho(t) = \left\{\begin{array}{c}\frac{t^2}{2\...
Chan's user avatar
  • 149
3 votes
0 answers
105 views

Are there scenarios under which feasibility bilinear programming is easy?

Given $c\in\Bbb R^{n_1},d\in\Bbb R^{n_2}$, $E\in\Bbb R^{n_1\times n_2}$, $A\in\Bbb R^{m_1\times n_1}$, $B\in\Bbb R^{m_2\times n_2}$ $a\in\Bbb R^{m_1}$, $b\in\Bbb R^{m_2}$ and $t\in\Bbb R$ we know ...
Turbo's user avatar
  • 13.9k
3 votes
0 answers
51 views

Maximizing a function on $SU(4)$ similar to Von Neumann Trace Inequality

Given arbitrary $X,Y \in \mathfrak{su}(4)$, I want to maximize either of the following functions: $\max_{U,V \in SU(2)} \Re(\text{Tr}(X^\dagger (U^{\dagger} \otimes V^{\dagger})Y (U \otimes V)))$ ...
Benjamin's user avatar
  • 2,099
3 votes
1 answer
368 views

Lot sizing problem: how to add these cuts efficiently

Consider the set of constraints of the uncapacitated lot sizing problem: $$ \{(x,s,y)\in \mathbb{R}^n_+ \times \mathbb{R}^n_+ \times \mathbb{B}^n \;|\;s_{t-1}+x_t = d_t+s_t,\; x_t \le My_t,\; t=1,\...
Kuifje's user avatar
  • 225
3 votes
0 answers
100 views

Optimally placing rectangles with obstacles

I am struggling with a fairly simple and natural geometric optimization problem, but I have not been able to find an obvious canonical method for solving it: I am given a collection of $m$ axis-...
Tom Solberg's user avatar
  • 4,049
3 votes
0 answers
298 views

Singular value decomposition of a low rank weak diagonally dominant M-matrix. When is the unitary polar matrix positive semi-definite?

Let $A$ be an $n \times n$, non-symmetric, real, weak diagonally dominant M-Matrix. Its diagonal is strictly positive, its off-diagonal is negative or zero and all its columns sum to zero. $A$ has ...
Astor's user avatar
  • 323
3 votes
0 answers
239 views

Constrained optimization with a Proportional-Integral-Derivative (PID) controller

My engineering colleagues have devised an interesting approach to equality-constrained optimization. I.e. they wish to solve the problem $\min_x f(x)$ subject to the constraint $g(x) = 0$ where $f, g ...
user2698883's user avatar
3 votes
0 answers
71 views

Dependence of optimization problem on the linear constraints

Let $I=\{x_1,\cdots, x_n\}\subset \mathbb R$ be fixed. Given two probability distributions $\alpha=(\alpha_i)_{1\le i\le n}$ and $\beta=(\beta_i)_{1\le i\le n}$ on $I$, and a matrix $c=(c_{i,j})_{1\le ...
CodeGolf's user avatar
  • 1,835
3 votes
0 answers
148 views

The complexity of an optimization problem involving sum of binomial coefficients

I'm just new to this community. So please forgive me if the question is not properly asked. I would like to get the natural number e such that the following function can be minimized: $f(e)=\frac{b}{...
Sunniel's user avatar
  • 31
3 votes
0 answers
189 views

Non-invariant Lagrangian on SU(n)

I have a Lagrangian on $SU(n)$, which is not invariant. Given the Lagrangian $\mathcal{L}[U_t, \dot{U}_t] = \langle \dot{U}_t, \nabla J \big|_{U_t} \rangle$ I need to find the curves of stationary ...
Benjamin's user avatar
  • 2,099
3 votes
0 answers
70 views

Attainability of Global Optima In Optimal Control

Given a manifold $M$ and a set of smooth functions of one real variable $\mathcal{A}$ and a 'control system' type first order differential equation: $\frac{d x(t)}{dt} = F(x,u)$ one can consider the ...
Benjamin's user avatar
  • 2,099
3 votes
0 answers
970 views

Testing if a point is inside a convex polytope formed by halfspaces in n-dimension

Assume we have a convex polytope that is formed by the intersection of $k$-halfspaces in $\mathbb{R}^{n}$. $$ a_{0,0}x^{n-1} + {a}_{0,1}x^{n-2} + ... a_{0,n-1} \leq 0 $$ $$ a_{1,0}x^{n-1} + {a}_{1,...
rajaditya_m's user avatar
3 votes
0 answers
243 views

Polynomial-time algorithm solving approximately a generalization of the travelling salesman problem

Take a graph $G$ and a number of sets of nodes of $G$. The problem is to find the shortest path passing through at least one node in each node set. If each node set consists of only one node, the ...
lchen's user avatar
  • 367
3 votes
0 answers
214 views

existence of optimal control

I'm looking for an existential result in optimal control for the following class of problems: Given $T > 0$, $\bar x, \hat x\in\mathbb R^d$, an instantaneous cost function $c:\mathbb R^d\times \...
dchatter's user avatar
  • 251

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