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We introduce a concept of a fractional-derivatives series and prove that any linear partial differential equation in two independent variables has a fractional-derivatives series solution with coefficients from a differentially closed field…

Analysis of PDEs · Mathematics 2008-11-11 D. Grigoriev

A fully algebraic approach to reconstructing one-dimensional reflectionless potentials is described. A simple and easily applicable general formula is derived, using the methods of the theory of determinants. In particular, useful…

Quantum Physics · Physics 2015-01-20 Matti Selg

We present a Poisson formula for sparse resultants and a formula for the product of the roots of a family of Laurent polynomials, which are valid for arbitrary families of supports. To obtain these formulae, we show that the sparse…

Algebraic Geometry · Mathematics 2015-06-12 Carlos D'Andrea , Martin Sombra

We propose investigating a summation analog of the paradigm for parallel integration. We make some first steps towards an indefinite summation method applicable to summands that rationally depend on the summation index and a P-recursive…

Combinatorics · Mathematics 2024-06-10 Shaoshi Chen , Ruyong Feng , Manuel Kauers , Xiuyun Li

Discrete Differential Equations (DDEs) are functional equations that relate polynomially a power series $F(t,u)$ in $t$ with polynomial coefficients in a "catalytic" variable $u$ and the specializations, say at $u=1$, of $F(t,u)$ and of…

Symbolic Computation · Computer Science 2023-05-01 Alin Bostan , Hadrien Notarantonio , Mohab Safey El Din

We collect here elementary properties of differentiation matrices for univariate polynomials expressed in various bases, including orthogonal polynomial bases and non-degree-graded bases such as Bernstein bases and Lagrange \& Hermite…

Numerical Analysis · Mathematics 2018-09-18 Amirhossein Amiraslani , Robert M. Corless , Madhusoodan Gunasingham

We present a general class of compressed sensing matrices which are then demonstrated to have associated sublinear-time sparse approximation algorithms. We then develop methods for constructing specialized matrices from this class which are…

Numerical Analysis · Mathematics 2011-06-01 J. Bailey , M. A. Iwen , C. V. Spencer

In the literature, two series of models have been proposed to address prediction problems including classification and regression. Simple models, such as generalized linear models, have ordinary performance but strong interpretability on a…

Machine Learning · Computer Science 2016-11-01 Jingbo Shang , Meng Jiang , Wenzhu Tong , Jinfeng Xiao , Jian Peng , Jiawei Han

Consider a system F of n polynomial equations in n unknowns, over an algebraically closed field of arbitrary characteristic. We present a fast method to find a point in every irreducible component of the zero set Z of F. Our techniques…

Algebraic Geometry · Mathematics 2007-05-23 J. Maurice Rojas

Solving sparse linear systems from discretized PDEs is challenging. Direct solvers have in many cases quadratic complexity (depending on geometry), while iterative solvers require problem dependent preconditioners to be robust and…

Numerical Analysis · Mathematics 2017-03-14 Kai Yang , Hadi Pouransari , Eric Darve

We present algorithms to solve coupled systems of linear differential equations, arising in the calculation of massive Feynman diagrams with local operator insertions at 3-loop order, which do {\it not} request special choices of bases.…

Symbolic Computation · Computer Science 2016-01-11 Jakob Ablinger , Johannes Bluemlein , Abilio de Freitas , Carsten Schneider

This paper analyses a Waring type decomposition of a noncommuting (NC) polynomial $p$ with respect to the goal of evaluating $p$ efficiently on tuples of matrices. Such a decomposition can reduce the number of matrix multiplications needed…

Functional Analysis · Mathematics 2022-02-24 Eric Evert , J. William Helton , Shiyuan Huang , Jiawang Nie

In this research, the Bernoulli polynomials are introduced. The properties of these polynomials are employed to construct the operational matrices of integration together with the derivative and product. These properties are then utilized…

Numerical Analysis · Computer Science 2014-08-12 J. A. Rad , S. Kazem , M. Shaban , K. Parand

In the following short paper we list some useful results concerning determinants and inverses of matrices. First we show, how to calculate determinants of $d \times d$ matrices, if their traces are known. As a next step $4 \times 4$…

High Energy Physics - Phenomenology · Physics 2007-05-23 Frieder Kleefeld , Manfred Dillig

A procedure to obtain differentiation matrices is extended straightforwardly to yield new differentiation matrices useful to obtain derivatives of complex rational functions. Such matrices can be used to obtain numerical solutions of some…

Numerical Analysis · Mathematics 2007-05-23 Rafael G. Campos , Claudio Meneses

We investigate the initial value problems for non-homogeneous linear differential equations whose solutions are set-valued maps taking values in the space of nonempty compact convex subsets of $\mathbb{R}^2$, denoted by…

Classical Analysis and ODEs · Mathematics 2025-11-25 Uma Maheswara Rao Epuganti , Gnana Bhaskar Tenali

We present a general method for computing discriminants of noncommutative algebras. It builds a connection with Poisson geometry and expresses the discriminants as products of Poisson primes. The method is applicable to algebras obtained by…

Rings and Algebras · Mathematics 2018-07-20 Bach Nguyen , Kurt Trampel , Milen Yakimov

We develop an efficient $hp$-finite element method for piecewise-smooth differential equations with periodic boundary conditions, using orthogonal polynomials defined on circular arcs. The operators derived from this basis are banded and…

Numerical Analysis · Mathematics 2025-12-23 Daniel VandenHeuvel , Sheehan Olver

We investigate which polynomials can possibly occur as factors in the denominators of rational solutions of a given partial linear difference equation (PLDE). Two kinds of polynomials are to be distinguished, we call them /periodic/ and…

Symbolic Computation · Computer Science 2010-05-05 Manuel Kauers , Carsten Schneider

Many modern numerical methods in computational science and engineering rely on derivatives of mathematical models for the phenomena under investigation. The computation of these derivatives often represents the bottleneck in terms of…

Computational Complexity · Computer Science 2021-10-27 Uwe Naumann
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