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Robust optimization is one of the fundamental approaches to deal with uncertainty in combinatorial optimization. This paper considers the robust spanning tree problem with interval data, which arises in a variety of telecommunication…

Artificial Intelligence · Computer Science 2013-01-07 Ionut Aron , Pascal Van Hentenryck

We investigate invariants for random elements of different hyperbolic groups. We provide a method, using Cayley graphs of groups, to compute the probability distribution of the minimal length of a random word, and explicitly compute the…

Mathematical Physics · Physics 2007-05-23 Sergei Nechaev , Raphael Voituriez

The Hidden Subgroup Problem (HSP) is a computational problem which includes as special cases integer factorization, the discrete logarithm problem, graph isomorphism, and the shortest vector problem. The celebrated polynomial-time quantum…

Logic in Computer Science · Computer Science 2020-05-05 Matthew Moore , Taylor Walenczyk

We revisit the selection problem, namely that of computing the $i$th order statistic of $n$ given elements, in particular the classic deterministic algorithm by grouping and partition due to Blum, Floyd, Pratt, Rivest, and Tarjan (1973).…

Data Structures and Algorithms · Computer Science 2019-04-09 Ke Chen , Adrian Dumitrescu

We present a solution to the conjugacy decision problem and the conjugacy search problem in Garside groups, which is theoretically simpler than the usual one, with no loss of efficiency. This is done by replacing the well known cycling and…

Group Theory · Mathematics 2008-09-08 Volker Gebhardt , Juan González-Meneses

In this paper, we introduce a novel approach for generating random elements of a finite group given a set of generators of that. Our method draws upon combinatorial group theory and automata theory to achieve this objective. Furthermore, we…

Formal Languages and Automata Theory · Computer Science 2023-11-29 MohammadJavad Vaez , Marjan Kaedi , Mahdi Kalbasi

This paper considers the probabilistic representation of the solutions of ordinary differential equations (ODEs) by the generation of marked random trees in which marks can be interpreted as mutant types in population genetics models. We…

Probability · Mathematics 2025-11-11 Qiao Huang , Nicolas Privault

In this paper a relation between iterated cyclings and iterated powers of elements in a Garside group is shown. This yields a characterization of elements in a Garside group having a rigid power, where 'rigid' means that the left normal…

Geometric Topology · Mathematics 2007-05-23 Joan S. Birman , Volker Gebhardt , Juan Gonzalez-Meneses

The worst-case complexity of group-theoretic algorithms has been studied for a long time. Generic-case complexity, or complexity on random inputs, was introduced and studied relatively recently. In this paper, we address the average-case…

Group Theory · Mathematics 2022-08-12 Vladimir Shpilrain

We give an efficient algorithm to randomly generate finitely generated subgroups of a given size, in a finite rank free group. Here, the size of a subgroup is the number of vertices of its representation by a reduced graph such as can be…

Group Theory · Mathematics 2010-06-21 Frédérique Bassino , Cyril Nicaud , Pascal Weil

This article describes a model and an exact solution method for facility location problems with decision-dependent uncertainties. The model allows characterizing the probability distribution of the random elements as a function of the…

Optimization and Control · Mathematics 2025-09-15 Giovanni Pantuso

We present a numerical algorithm for finding real non-negative solutions to polynomial equations. Our methods are based on the expectation maximization and iterative proportional fitting algorithms, which are used in statistics to find…

Numerical Analysis · Mathematics 2010-04-02 Dustin Cartwright

In this note, we provide a (super-exponential time) algorithm to solve the generalized conjugacy problem in relatively hyperbolic groups, given solvability of the generalized conjugacy problem in each of the parabolic subgroups.

Group Theory · Mathematics 2022-02-24 Chris Karpinski

We present an algorithm based on continuation techniques that can be applied to solve numerically minimization problems with equality constraints. We focus on problems with a great number of local minima which are hard to obtain by local…

Numerical Analysis · Mathematics 2019-09-17 Elisabete Alberdi , Mikel Antoñana , Joseba Makazaga , Ander Murua

We analyze a simple randomized subgradient method for approximating solutions to stochastic systems of convex functional constraints, the only input to the algorithm being the size of minibatches. By introducing a new notion of what is…

Optimization and Control · Mathematics 2021-08-30 James Renegar , Song Zhou

Biclustering is the task of simultaneously clustering the rows and columns of the data matrix into different subgroups such that the rows and columns within a subgroup exhibit similar patterns. In this paper, we consider the case of…

Machine Learning · Computer Science 2022-01-31 Nicolas Fraiman , Zichao Li

A method of random search based on Kolmogorov complexity is proposed and applied to two search problems in group theory. The method is provably effective but not practical, so the applications involve heuristic approximations. Perhaps…

Group Theory · Mathematics 2018-12-20 Robert H. Gilman

We consider the following problem: from a given set of gene families trees on a set of genomes, find a first speciation, that splits these genomes into two subsets, that minimizes the number of gene duplications that happened before this…

Discrete Mathematics · Computer Science 2009-04-15 Cedric Chauve , Aïda Ouangraoua

We find polynomial-time solutions to the word problem for free-by-cyclic groups, the word problem for automorphism groups of free groups, and the membership problem for the handlebody subgroup of the mapping class group. All of these…

Group Theory · Mathematics 2007-05-23 Saul Schleimer

In this paper, we consider low-rank approximations for the solutions to the stochastic Helmholtz equation with random coefficients. A Stochastic Galerkin finite element method is used for the discretization of the Helmholtz problem.…

Numerical Analysis · Mathematics 2023-02-17 Adem Kaya , Melina A. Freitag
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