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In this paper we focus on the solution of shifted quasiseparable systems and of more general parameter dependent matrix equations with quasiseparable representations. We propose an efficient algorithm exploiting the invariance of the…

Numerical Analysis · Mathematics 2017-08-07 Paola Boito , Yuli Eidelman , Luca Gemignani

This paper proposes a harmonic Lanczos bidiagonalization method for computing some interior singular triplets of large matrices. It is shown that the approximate singular triplets are convergent if a certain Rayleigh quotient matrix is…

Numerical Analysis · Mathematics 2010-01-20 Datian Niu , Xuegang Yuan

This paper presents a Jacobi-type iteration for computing a given specified eigenpair of a symmetric matrix. For a certain class of diagonally dominant matrices, the procedure is shown to converge at a linear rate depending on how the…

Numerical Analysis · Mathematics 2026-05-26 Luca Gemignani

A general theorem on factorization of matrices with polynomial entries is proven and it is used to reduce polynomial Darboux matrices to linear ones. Some new examples of linear Darboux matrices are discussed.

Exactly Solvable and Integrable Systems · Physics 2009-11-11 F. Musso , A. Shabat

We use the periodicity properties of generalized Gauss sums to factor numbers. Moreover, we derive rules for finding the factors and illustrate this factorization scheme for various examples. This algorithm relies solely on interference and…

Quantum Physics · Physics 2012-10-25 S. Wölk , W. Merkel , W. P. Schleich , I. Sh. Averbukh , B. Girard

The need to know a few singular triplets associated with the largest singular values of third-order tensors arises in data compression and extraction. This paper describes a new method for their computation using the t-product. Methods for…

Numerical Analysis · Mathematics 2023-01-10 Anas El Hachimi , Khalide Jbilou , Ahmed Ratnani , Lothar Reichel

Deterministic recursive algorithms for the computation of matrix triangular decompositions with permutations like LU and Bruhat decomposition are presented for the case of commutative domains. This decomposition can be considered as a…

Symbolic Computation · Computer Science 2017-02-24 Gennadi Malaschonok , Anton Scherbinin

A real quadratic matrix is generalized doubly stochastic (g.d.s.) if all of its row sums and column sums equal one. We propose numerically stable methods for generating such matrices having possibly orthogonality property or/and satisfying…

Numerical Analysis · Computer Science 2018-09-21 Gianluca Oderda , Alicja Smoktunowicz , Ryszard Kozera

A new generalized matrix inverse is derived which is consistent with respect to arbitrary nonsingular diagonal transformations, e.g., it preserves units associated with variables under state space transformations, thus providing a general…

Numerical Analysis · Mathematics 2026-04-02 Jeffrey Uhlmann

This paper examines the properties of real symmetric square matrices with a constant value for the main diagonal elements and another constant value for all off-diagonal elements. This matrix form is a simple subclass of circulant matrices,…

Statistics Theory · Mathematics 2021-09-14 Ben O'Neill

Recently a spectral Favard theorem for bounded banded lower Hessenberg matrices that admit a positive bidiagonal factorization was presented. These type of matrices are oscillatory. In this paper the Lima-Loureiro hypergeometric multiple…

Classical Analysis and ODEs · Mathematics 2022-10-21 Amílcar Branquinho , Ana Foulquié-Moreno , Manuel Mañas

We describe fast algorithms for approximating the connection coefficients between a family of orthogonal polynomials and another family with a polynomially or rationally modified measure. The connection coefficients are computed via…

Numerical Analysis · Mathematics 2024-03-27 Timon S. Gutleb , Sheehan Olver , Richard Mikael Slevinsky

In this paper we provide an algorithm, similar to the simplex algorithm, which determines a rational cp-factorization of a given matrix, whenever the matrix allows such a factorization. This algorithm can be used to show that every integral…

Optimization and Control · Mathematics 2021-04-27 Mathieu Dutour Sikirić , Achill Schürmann , Frank Vallentin

Decoupling multivariate polynomials is useful for obtaining an insight into the workings of a nonlinear mapping, performing parameter reduction, or approximating nonlinear functions. Several different tensor-based approaches have been…

Numerical Analysis · Mathematics 2019-01-31 Konstantin Usevich , Philippe Dreesen , Mariya Ishteva

In this paper, we present an algorithm for computing a fundamental matrix of formal solutions of completely integrable Pfaffian systems with normal crossings in several variables. This algorithm is a generalization of a method developed for…

Symbolic Computation · Computer Science 2016-10-06 Moulay A. Barkatou , Maximilian Jaroschek , Suzy S. Maddah

A new generalized cyclic symmetric structure in the factor matrices of polyadic decompositions of matrix multiplication tensors for non-square matrix multiplication is proposed to reduce the number of variables in the optimization problem…

Numerical Analysis · Mathematics 2025-03-19 Charlotte Vermeylen , Marc Van Barel

We give a concise direct proof of the orthogonality of interpolation Macdonald polynomials with respect to the Fourier pairing and briefly discuss some immediate applications of this orthogonality, such as the symmetry of the Fourier…

Quantum Algebra · Mathematics 2007-05-23 Andrei Okounkov

In this paper, we present a generic parametrization of generically zero-dimensional parametric polynomial systems. More specifically, we study the specialization properties of the Rational Univariate Representation and derive bounds on the…

Symbolic Computation · Computer Science 2026-02-09 Florent Corniquel

An algorithm for computing {2, 3}, {2, 4}, {1, 2, 3}, {1, 2, 4} -inverses and the Moore-Penrose inverse of a given rational matrix A is established. Classes A(2, 3)s and A(2, 4)s are characterized in terms of matrix products (R*A)+R* and…

Symbolic Computation · Computer Science 2011-04-12 Stanimirović , P. S. , Tasić , M. B

A fast and accurate algorithm for solving a Bernstein-Vandermonde linear system is presented. The algorithm is derived by using results related to the bidiagonal decomposition of the inverse of a totally positive matrix by means of Neville…

Numerical Analysis · Mathematics 2007-05-23 A. Marco , J. J. Martinez