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We study from a theoretical viewpoint the fundamental problem of efficiently computing the stationary distribution of general classes of structured Markov processes. In strong contrast with previous work, we consider this fundamental…

Quantum Physics · Physics 2025-06-18 Vasileios Kalantzis , Mark S. Squillante , Shashanka Ubaru

We describe a family of new algorithms for finding the canonical image of a set of points under the action of a permutation group. This family of algorithms makes use of the orbit structure of the group, and a chain of subgroups of the…

Group Theory · Mathematics 2017-12-05 Christopher Jefferson , Eliza Jonauskyte , Markus Pfeiffer , Rebecca Waldecker

Motivated by the work of Boston, Jones and Goksel, we propose a Markov model for the factorisation of post-critically finite (PCF) cubic polynomials f. Using the information encoded in the critical orbits, we define a Markov model for PCF…

Number Theory · Mathematics 2026-03-11 Javier San Martín Martínez

We present a class of algorithms based on rational Krylov methods to compute the action of a generalized matrix function on a vector. These algorithms incorporate existing methods based on the Golub-Kahan bidiagonalization as a special…

Numerical Analysis · Mathematics 2021-07-27 Angelo Alberto Casulli , Igor Simunec

It is known that computing the permanent of the matrix $1+A$, where $A$ is a finite-rank matrix, requires a number of operations polynomial in the matrix size. Motivated by the boson-sampling proposal of restricted quantum computation, I…

Quantum Physics · Physics 2023-05-31 Dmitri A. Ivanov

This is a book about computational aspects of modular forms and the Galois representations attached to them. The main result is the following: Galois representations over finite fields attached to modular forms of level one can, in almost…

Number Theory · Mathematics 2010-03-23 Bas Edixhoven , Jean-Marc Couveignes , Robin de Jong , Franz Merkl , Johan Bosman

Computing the determinant of a matrix with the univariate and multivariate polynomial entries arises frequently in the scientific computing and engineering fields. In this paper, an effective algorithm is presented for computing the…

Symbolic Computation · Computer Science 2015-04-14 Xiaolin Qin , Zhi Sun , Tuo Leng , Yong Feng

The theme of symbolic computation in algebraic categories has become of utmost importance in the last decade since it enables the automatic modeling of modern algebra theories. On this theoretical background, the present paper reveals the…

Symbolic Computation · Computer Science 2007-05-23 Alina Andreica

Canonical matrices are given for (a) bilinear forms over an algebraically closed or real closed field; (b) sesquilinear forms over an algebraically closed field and over real quaternions with any nonidentity involution; and (c) sesquilinear…

Representation Theory · Mathematics 2007-12-17 Roger A. Horn , Vladimir V. Sergeichuk

Given a square, nonsingular matrix of univariate polynomials $\mathbf{F}\in\mathbb{K}[x]^{n\times n}$ over a field $\mathbb{K}$, we give a deterministic algorithm for finding the determinant of $\mathbf{F}$. The complexity of the algorithm…

Symbolic Computation · Computer Science 2014-09-22 Wei Zhou , George Labahn

We give an explanation of the $\mathrm{d}\log$-form of the coefficient matrix of canonical differential equations using the projection of ($n$+1)-$\mathrm{d}\log$ forms onto $n$-$\mathrm{d}\log$ forms. This projection is done using the…

High Energy Physics - Theory · Physics 2024-09-20 Jiaqi Chen , Bo Feng

Based on the column pivoted QR decomposition, we propose some randomized algorithms including pass-efficient ones for the generalized CUR decompositions of matrix pair and matrix triplet. Detailed error analyses of these algorithms are…

Numerical Analysis · Mathematics 2023-03-14 Guihua Zhang , Hanyu Li , Yimin Wei

In a previous paper, we have shown that any Boolean formula can be encoded as a linear programming problem in the framework of Bayesian probability theory. When applied to NP-complete algorithms, this leads to the fundamental conclusion…

Data Structures and Algorithms · Computer Science 2012-12-21 Michel Feldmann

This work introduces a canonical structure for a broad class of unconstrained first-order algorithms that admit a Lur'e representation, including systems with relative degree greater than one, e.g., systems with delayed gradient feedback.…

Optimization and Control · Mathematics 2026-04-06 Mengmou Li , Yu Zhou , Xun Shen , Masaaki Nagahara

We study the computability of the operator norm of a matrix with respect to norms induced by linear operators. Our findings reveal that this problem can be solved exactly in polynomial time in certain situations, and we discuss how it can…

Numerical Analysis · Mathematics 2025-10-23 Adrian Kulmburg

Computing the volume of a polytope in high dimensions is computationally challenging but has wide applications. Current state-of-the-art algorithms to compute such volumes rely on efficient sampling of a Gaussian distribution restricted to…

Computation · Statistics 2022-02-22 Augustin Chevallier , Frédéric Cazals , Paul Fearnhead

This material is a rewriting and expansion of notes for beginning graduate students in seminars in combinatorics (Department of Mathematics, University of California San Diego). Solid skills in linear and multilinear algebra were required…

History and Overview · Mathematics 2014-07-22 S. Gill Williamson

Canonical forms for congruence and *congruence of square complex matrices were given by Horn and Sergeichuk in [Linear Algebra Appl. 389 (2004) 347-353], based on Sergeichuk's paper [Math. USSR, Izvestiya 31 (3) (1988) 481-501], which…

Representation Theory · Mathematics 2007-09-18 Roger A. Horn , Vladimir V. Sergeichuk

This paper is concerned with the problem of finding a quadratic common Lyapunov function for a family of stable linear systems. We present gradient iteration algorithms which give deterministic convergence for finite system families and…

Optimization and Control · Mathematics 2007-05-23 Daniel Liberzon , Roberto Tempo

We present the asymptotically fastest known algorithms for some basic problems on univariate polynomial matrices: rank, nullspace, determinant, generic inverse, reduced form. We show that they essentially can be reduced to two computer…

Symbolic Computation · Computer Science 2007-05-23 Claude-Pierre Jeannerod , Gilles Villard