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2 answers
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Implicit derivative?

If we have function $y=L(x_1,x_2,x_3,...,x_n)$, and function $z=R(x_1,x_2,x_3,...,x_n)$. How to compute the derivative $\frac{dy}{dz}$? Shall I do $\frac{dy}{dz} = \sup_{g\in \Re^n}\frac{\...
pacificmoth's user avatar
5 votes
1 answer
562 views

Do upper-semicontinuous polyhedral multifunctions have Lipschitz continuous selections?

We are interested in the following question (definitions and references are given below): Main Question: Given an upper-semicontinuous polyhedral multifunction $F:R^n \rightarrow R^m$, is there ...
innerproduct's user avatar
1 vote
0 answers
1k views

Covariance matrix formula interpretation - what am I missing?

I'm reading a paper that outlines the calculation of a covariance matrix like the following: $C=\displaystyle\sum^{N_b}_{i=1}\vec{x}_i\vec{x}_i^T$ What is the order of this matrix? My interpretation ...
fbrereto's user avatar
  • 111
3 votes
1 answer
147 views

Optimizing finite-length approximations to space-filling loops

Take a loop in the unit disk D^2, with length l where length is defined as the supremum of the lengths of piecewise linear approximations. What is the smallest r such that every radius-r subdisk of D^...
Robin Saunders's user avatar
0 votes
2 answers
4k views

Linear programming piecewise linear objective

I am fairly new at linear programming/optimization and am currently working on implementing a linear program that is stated like this: max $\sum_{i=1}^{k}{p(\vec \alpha \cdot \vec c_i)}$ $s.t. $ $|\...
AFJ's user avatar
  • 3
0 votes
1 answer
225 views

Degree constrained edge partitioning (version 2)

Given a graph $G=(V,E)$ with real-valued (positive or negative) weights assigned to its edges, we want to remove a set of edges so that the sum of the remaining edges is minimized and the degree of ...
eakbas's user avatar
  • 453
6 votes
1 answer
750 views

Degree constrained edge partitioning

I've come up with the following optimization problem in my research. Is this a known problem in graph-theory and/or combinatorial optimization? If not, which of the known problems are the most similar ...
eakbas's user avatar
  • 453
10 votes
1 answer
2k views

Sum of difference moduli vs. sum of modulus differences

This is a failed attempt of mine at creating a contest problem; the failure is in the fact that I wasn't able to solve it myself. Let $x_1$, $x_2$, ..., $x_n$ be $n$ reals. For any integer $k$, ...
darij grinberg's user avatar
2 votes
2 answers
5k views

Best fit for multiple shapes inside an area

Is there a forumla to come up with the best fit for multiple shapes inside a rectangular area, so that none of the shapes are overlapping?
user5052's user avatar
  • 121
3 votes
1 answer
1k views

Matrix approximation

Let A be an $m\times n$ matrix and $k$ be an integer. Assume that $A$ is non-negative. We want to find a scalar $\epsilon$ and an $n\times n$ matrix $B$ such that $A\leq A(\epsilon I + B)$ (where $\...
Danu's user avatar
  • 145
10 votes
2 answers
7k views

Is there an "adjacency matrix" for weighted directed graphs that captures the weights?

I am currently writing up some notes on the max-plus algebra $\mathbb{R}_{\max}$ (for those that have never seen the term "max-plus algebra", it is just $\mathbb{R}$ with addition replaced by $\max$ ...
user4977's user avatar
  • 363
1 vote
2 answers
256 views

how to estimate a polyhedron(convex hull) classifier from data sample

Given a set of points $X\in\Re^D$, they have labels $Y\in${$-1,+1$}. I would like to separate the data labeled +1 and the data labeled -1 by a polyhedron. $min_w \sum_i \xi_i + \frac{1}{2}\|w\|_2^2$ ...
pacificmoth's user avatar
0 votes
2 answers
2k views

Finding the local/global minima of Shubert function

Consider the 2D Shubert function. As given in that page, the function has 18 global minima and several local minima. How can I find the (x,y) of all these minima? Any help appreciated. If it was a ...
Amit's user avatar
  • 121
2 votes
3 answers
421 views

Which method to apply to this problem?

I'm a programmer and I came a across an interesting problem. I'm sure there is a mathematical method or an algorithm to solve it, but I don't know where to start with the search nor which literature ...
Milan Babuškov's user avatar
6 votes
1 answer
424 views

How to optimize student happiness in group work?

There are $n$ students in a class, and they must be divided into, say, $k$ groups. Each student ranks the other students in order of preference of working together. Is there a way to generally ...
Kiochi's user avatar
  • 884
3 votes
2 answers
1k views

Are Bregman divergences quasi-convex?

Given a convex set S ⊂ ℝd and an appropriately differentiable convex function f: S → ℝ, a Bregman divergence Bf(x, y) = f (x) - f (y) -⟨x- y , ∇f (y)⟩ for x, y &...
Mark Reid's user avatar
  • 325
6 votes
2 answers
2k views

Problem equivalent to "largest square in a cube"

The "largest square in a cube" problem, which asks for the largest square inside a cube, has a solution as can be seen on this page, which also says that the general problem in higher dimensions is ...
Vipul Naik's user avatar
  • 7,320
6 votes
2 answers
364 views

Algebraic characterization of transitive spaces of matrices

Fix an integer $d \ge 2$ and let $M_d$ be the space of real $d \times d$ matrices. Let $E$ be a vector subspace of $M_d$. We say that $E$ is transitive if $E \cdot \mathbb{R}^d_* = \mathbb{R}^d$, ...
Jairo Bochi's user avatar
  • 2,479
4 votes
2 answers
4k views

Minimizing a function containing an integral

I am trying to optimize a function of the following form: $L = \int_{t=0}^{T}(AR-x)dt$, where A is a system parameter i.e. I am trying to find the optimum x(t) that minimizes L over all admissible x(...
Legend's user avatar
  • 439
1 vote
2 answers
2k views

Why is solving a MILP w/o an objective function so much faster?

When solving a MILP (mixed integer linear program) using a linear relaxation, the solver finds a feasible solution much faster if there is no objective function. The same problem with an objective ...
Harald Schilly's user avatar
3 votes
1 answer
1k views

Maximizing Sparsity in l1 Minimization?

Consider the optimization problem $$\min_x ||Ax||_1 + \lambda||x-b||^2,$$ where $A \in \mathbb{R}^{n \times n}$, $x,b \in \mathbb{R}^n$ and $\lambda$ is strictly greater than 0. (This problem is ...
TerronaBell's user avatar
  • 3,059
2 votes
0 answers
169 views

modification of singlestart in global optimization

When minimizing a nonconvex function $f : \Omega \rightarrow \mathbb{R}$ that may have multiple minima, there are some very simple strategies to improve the odds of finding the global minimum point. ...
engelbrekt's user avatar
  • 4,485
5 votes
2 answers
457 views

Heaviest Convex Polygon

Suppose we have an arbitrary function $f : \mathbb{R}^2 \to \mathbb{R}$. For any subset $s \subseteq \mathbb{R}^2$, we can define $g_f(s)$ as the integral* of $f$ over the region $s$. Suppose ...
Andrew's user avatar
  • 341
0 votes
2 answers
595 views

univariate prior corresponding to weighted sum of L1 and L2 penalties?

Is there a univariate probability distribution $p_{\lambda,\alpha}(\beta)$ over the reals, parameterized by $\lambda > 0$ and $1 >= \alpha >= 0$, such that $p_{\lambda,\alpha} \propto \exp(-\...
daviddlewis's user avatar
2 votes
1 answer
337 views

Switching function for Bang-Bang nagivation

I'm attempting to develop an equation to determine the "switching time" for a control system. I've managed to work out a specific solution for when starting and ending velocities are are the same, ...
Quantumplation's user avatar
5 votes
3 answers
522 views

Navigation solution for frictionless vehicles.

Looked around a bit and couldn't seem to find a similar question. (either that or it was worded with vocabulary above the multivariable calculus I've taken. :)) Roughly worded: I would like to ...
Quantumplation's user avatar
0 votes
3 answers
296 views

Uniformly distribute a population in a given search space

I am trying to uniformly distribute a finite number of particles into a 2D search space to get me started with an optimization problem, but I am having a hard time doing it. I am thinking that it ...
user984's user avatar
  • 101
18 votes
3 answers
3k views

Deciding membership in a convex hull

Given points $u, v_1, \dots,v_n \in \mathbb{R}^m$, decide if $u$ is contained in the convex hull of $v_1, \dots, v_n$. This can be done efficiently by linear programming (time polynomial in $n,m$) in ...
Mitch's user avatar
  • 667
6 votes
3 answers
1k views

How can I embed an N-points metric space to a hypercube with low distortion?

I have a N-point metric space defined by the pairwise distance matrix. I want to encode these N points with binary strings, i.e. each point will be mapped to a vertex in a hypercube. The lengths of ...
pacificmoth's user avatar
23 votes
2 answers
2k views

Five Front Battle

Two generals are fighting a five front battle. Each general has 1 unit of army, which he divides into five separate armies that he sends to the five fronts. If one general sends more army to a front ...
zeb's user avatar
  • 8,688
29 votes
7 answers
8k views

Solving NP problems in (usually) Polynomial time?

Just because a problem is NP-complete doesn't mean it can't be usually solved quickly. The best example of this is probably the traveling salesman problem, for which extraordinarily large instances ...
DoubleJay's user avatar
  • 2,383
1 vote
2 answers
6k views

If a quadratic form is positive definite on a convex set, is it convex on that set?

Consider a real symmetric matrix $A\in\mathbb{R}^{n \times n}$. The associated quadratic form $x^T A x$ is a convex function on all of $\mathbb{R}^n$ iff $A$ is positive semidefinite, i.e., if $x^T A ...
TerronaBell's user avatar
  • 3,059
1 vote
0 answers
142 views

Term to describe how much harder an optimization problem can become after constraining a small part of the domain?

This is a follow up to this question. I'm interested in discrete optimization problems formulated as 0-1 integer programs; essentially, anything of the form $$\Phi = \max_{\mathbf{x} \in \left\{0,1\...
Andrew's user avatar
  • 341
3 votes
2 answers
362 views

Hardness of combinatorial optimization after adding one constraint

I'm interested generally in discrete optimization problems formulated as 0-1 integer programs; essentially, anything of the form $$\Phi = \max_{\mathbf{x} \in \left\{0,1\right\} ^N} f(\mathbf{x})$$ ...
Andrew's user avatar
  • 341
5 votes
2 answers
4k views

On Quadratic Integer Programming

I have the quadratic integer program over $\mathbb{Z}^n$ $\displaystyle\min_{z \in \mathbb{Z}^n} \Phi (z) = \frac{1}{2} z^T Q z - r^T z + s$ subject to $G z = h$, and $z_i \in \{0,1,2,\dots, b_i\}$ ...
Rod Carvalho's user avatar
0 votes
2 answers
207 views

What optimization criteris should be used for this problem?

The real world version: I have a united value (e.i. 12in, 120V 1.414 kg*m/s) where the units are specified as the rational exponents of the 5 base units; m, s, kg, C and K. Additionally, I have a set ...
BCS's user avatar
  • 205
1 vote
3 answers
5k views

how to get a feasible solution to dual program from a feasible solution to primal program?

If a feasible solution to a linear programming is known, and the corresponding value of the objective function is close to the optimum, can we get a feasible solution to the dual programming which ...
wander's user avatar
  • 11
4 votes
1 answer
720 views

"Transient" of the discrete-time Riccati equation

It is a well-known result that, if the pair $(A,Q^{1/2})$ is stabilizable and the pair $(A, C)$ is detectable, the solution to the discrete-time Riccati recursion $P(t+1) = A P(t) A^T - A P(t) C^T\ (...
Federico Ramponi's user avatar
0 votes
1 answer
280 views

Searching global minima fast?

I am minimizing a highly non-linear function. If I know the global minimum is at most some value, is this information helpful to design a faster algorithm than random restart? If we know an upper ...
pacificmoth's user avatar
7 votes
4 answers
2k views

Is there a name for the matrix equation A X B + B X A + C X C = D?

I happen to be working on a problem that reduces to solving the following equation: $$\mathbf{A X B} + \mathbf{B X A} + \mathbf{C X C} = \mathbf{D}$$ where A through D are known matrices ( A, B, D ...
Jiahao Chen's user avatar
  • 1,890
6 votes
5 answers
2k views

Simplex method for SDP?

I know the interior point method works both for Linear Programming (LP) and semidefinite programming (SDP). My question is, can the other popular method for solving LP, namely the simplex method, be ...
Sheldoniz's user avatar
  • 105
0 votes
2 answers
313 views

scalable binary linear optimization

Has anyone encountered scalable solutions to a binary linear optimization problem of the form: \min \sum_{i=1}^n x_i s.t x_i \in {0,1} Ax=b where, x=(x_1,x_2,...,x_n)^t, b=(b_1, b_2,...,b_m)^t, ...
dragomir's user avatar
1 vote
2 answers
301 views

Mediated envy-free and efficient cake cutting with n=2?

Is there an algorithm in literature to compute an efficient (pareto optimal) and envy-free cake cutting when there are only $n=2$ players and a mediator?
unluckyjoe's user avatar
3 votes
2 answers
384 views

High dimensional Steiner tree

Given n affinely independent points in n-1 dimensional Euclidean space, how is the minimum Steiner tree constructed? Or assuming that the topology of the Steiner tree is given, is there an easy way ...
asdf's user avatar
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