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Our purpose of this paper is to study isolated singular solutions of semilinear Helmholtz equation $$ -\Delta u-u=Q|u|^{p-1}u \quad{\rm in}\ \ \mathbb{R}^N\setminus\{0\},\ \qquad\lim_{|x|\to0}u(x)=+\infty, $$ where $N\geq 2$, $p>1$ and the…

Analysis of PDEs · Mathematics 2021-05-27 Huyuan Chen , Feng Zhou

In this paper, we design and analyze a Hybrid-High Order (HHO) approximation for a class of quasilinear elliptic problems of nonmonotone type. The proposed method has several advantages, for instance, it supports arbitrary order of…

Numerical Analysis · Mathematics 2021-11-01 Thirupathi Gudi , Gouranga Mallik , Tamal Pramanick

This paper investigates the asymptotics of the number of prime values taken by a polynomial in several variables with integer coefficients. Based on probabilistic heuristics and the multidimensional Bateman Horn conjecture, the expected…

Number Theory · Mathematics 2026-04-30 Victor Volfson

In the functional approach to quantum chromodynamics, the properties of hadronic bound states are accessible via covariant integral equations, e.g. the Bethe-Salpeter equations for mesons. In particular, one has to deal with linear,…

High Energy Physics - Phenomenology · Physics 2011-05-05 M. Blank , A. Krassnigg

In this paper, we derive new model formulations for computing generalized singular values of a Grassman matrix pair. These new formulations make use of truncated filter matrices to locate the $i$-th generalized singular value of a Grassman…

Numerical Analysis · Mathematics 2020-04-07 Wei-Wei Xu , Michael K. Ng , Zheng-Jian Bai

We study the binary perceptron, a random constraint satisfaction problem that asks to find a Boolean vector in the intersection of independently chosen random halfspaces. A striking feature of this model is that at every positive constraint…

Computational Complexity · Computer Science 2026-04-02 Shuyang Gong , Brice Huang , Shuangping Li , Mark Sellke

The main focus in this paper is exact linesearch methods for minimizing a quadratic function whose Hessian is positive definite. We give a class of limited-memory quasi-Newton Hessian approximations which generate search directions parallel…

Optimization and Control · Mathematics 2023-05-04 David Ek , Anders Forsgren

Using purely combinatorial means we obtain results on simultaneous Diophantine approximation modulo 1 for systems of polynomials with real coefficients and no constant term.

Number Theory · Mathematics 2013-07-03 Ernie Croot , Neil Lyall , Alex Rice

In this study linear and nonlinear higher order singularly perturbed problems are examined by a numerical approach, the differential quadrature method. Here, the main idea is using Chebyshev polynomials to acquire the weighting coefficient…

Numerical Analysis · Mathematics 2017-05-29 Gülsemay Yıgıt , Mustafa Bayram

Many problems are NP-hard and, unless P = NP, do not admit polynomial-time exact algorithms. The fastest known exact algorithms exactly usually take time exponential in the input size. Much research effort has gone into obtaining faster…

Data Structures and Algorithms · Computer Science 2025-01-27 Stefan Kratsch , Pascal Kunz

We introduce beyond-worst-case analysis into symbolic computation. This is an extensive field which almost entirely relies on worst-case bit complexity, and we start from a basic problem in the field: isolating the real roots of univariate…

Symbolic Computation · Computer Science 2025-06-06 Alperen A. Ergür , Josué Tonelli-Cueto , Elias Tsigaridas

The motivation for this paper are computer calculations of complete lists of weight systems of quasihomogeneous polynomials with isolated singularity at 0 up to rather large Milnor numbers. We review combinatorial characterizations of such…

Algebraic Geometry · Mathematics 2016-04-28 Claus Hertling , Ralf Kurbel

We improve the local generic position method for isolating the real roots of a zero-dimensional bivariate polynomial system with two polynomials and extend the method to general zero-dimensional polynomial systems. The method mainly…

Symbolic Computation · Computer Science 2013-12-03 Jin-San Cheng , Kai Jin

We propose a novel quantum algorithm for solving linear autonomous ordinary differential equations (ODEs) using the Pad\'e approximation. For linear autonomous ODEs, the discretized solution can be represented by a product of matrix…

Quantum Physics · Physics 2025-06-18 Dekuan Dong , Yingzhou Li , Jungong Xue

We consider the uniqueness of solution (i.e., nonsingularity) of systems of $r$ generalized Sylvester and $\star$-Sylvester equations with $n\times n$ coefficients. After several reductions, we show that it is sufficient to analyze periodic…

Numerical Analysis · Mathematics 2019-06-18 Fernando De Terán , Bruno Iannazzo , Federico Poloni , Leonardo Robol

We introduce an interpolation--regression operator for polynomial approximation on the unit sphere $\mathbb{S}^2$ from discrete samples. The approximant is a spherical polynomial of degree $r$ which interpolates the data on a prescribed…

Numerical Analysis · Mathematics 2026-05-14 Francesco Dell'Accio , Federico Nudo , Teresa E. Pérez , Miguel A. Piñar

We study the convergence of a family of numerical integration methods where the numerical integral is formulated as a finite matrix approximation to a multiplication operator. For bounded functions, the convergence has already been…

Numerical Analysis · Mathematics 2023-03-28 Juha Sarmavuori , Simo Särkkä

For applications to quasi-exactly solvable Schr\"odinger equations in quantum mechanics, we consider the general conditions that have to be satisfied by the coefficients of a second-order differential equation with at most $k+1$ singular…

Mathematical Physics · Physics 2018-05-11 C. Quesne

Recently the authors presented a matrix representation approach to real Appell polynomials essentially determined by a nilpotent matrix with natural number entries. It allows to consider a set of real Appell polynomials as solution of a…

Classical Analysis and ODEs · Mathematics 2024-03-19 Lidia Aceto , Helmuth Robert Malonek , Graça Tomaz

A new procedure is presented for computing the matrix cosine and sine simultaneously by means of Taylor polynomial approximations. These are factorized so as to reduce the number of matrix products involved. Two versions are developed to be…

Numerical Analysis · Mathematics 2020-10-02 Muaz Seydaoglu , Philipp Bader , Sergio Blanes , Fernando Casas
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