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Related papers: Spectral methods on a triangle and W-systems

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The subject of this paper is the design of efficient and stable spectral methods for time-dependent partial differential equations in unit balls. We commence by sketching the desired features of a spectral method, which is defined by a…

Numerical Analysis · Mathematics 2023-12-21 Jing Gao , Arieh Iserles

In this paper, we demonstrate that many of the computational tools for univariate orthogonal polynomials have analogues for a family of bivariate orthogonal polynomials on the triangle, including Clenshaw's algorithm and sparse…

Numerical Analysis · Mathematics 2019-02-14 Sheehan Olver , Alex Townsend , Geoff Vasil

The starting point of this paper is that a spectral method is essentially a combination of an orthonormal basis of the underlying Hilbert space with Galerkin conditions. The choice of an orthonormal basis depends on a number of desirable…

Numerical Analysis · Mathematics 2026-03-13 Arieh Iserles , Marcus Webb

In this paper, we propose a sparse spectral-Galerkin approximation scheme for solving the second-order partial differential equations on an arbitrary tetrahedron. Generalized Koornwinder polynomials are introduced on the reference…

Numerical Analysis · Mathematics 2021-05-18 Lueling Jia , Huiyuan Li , Zhimin Zhang

The contention of this paper is that a spectral method for time-dependent PDEs is basically no more than a choice of an orthonormal basis of the underlying Hilbert space. This choice is governed by a long list of considerations: stability,…

Numerical Analysis · Mathematics 2024-02-27 Arieh Iserles

While Spectral Methods have long been used for Principal Component Analysis, this survey focusses on work over the last 15 years with three salient features: (i) Spectral methods are useful not only for numerical problems, but also discrete…

Data Structures and Algorithms · Computer Science 2010-04-09 Ravindran Kannan

A spectral method is developed for the direct solution of linear ordinary differential equations with variable coefficients. The method leads to matrices which are almost banded, and a numerical solver is presented that takes O(m^2n)…

Numerical Analysis · Mathematics 2012-08-16 Sheehan Olver , Alex Townsend

This paper serves as our first effort to develop a new triangular spectral element method (TSEM) on unstructured meshes, using the rectangle-triangle mapping proposed in the conference note [21]. Here, we provide some new insights into the…

Numerical Analysis · Mathematics 2012-04-24 Michael Daniel Samson , Huiyuan Li , Li-Lian Wang

We present an extended range of stable flux reconstruction (FR) methods on triangles through the development and application of the summation-by-parts framework in two-dimensions. This extended range of stable schemes is then shown to…

Numerical Analysis · Mathematics 2022-03-31 Will Trojak , Peter Vincent

We present a spectral method for one-sided linear fractional integral equations on a closed interval that achieves exponentially fast convergence for a variety of equations, including ones with irrational order, multiple fractional orders,…

Numerical Analysis · Mathematics 2024-04-10 Tianyi Pu , Marco Fasondini

Orthogonal systems in $\mathrm{L}_2(\mathbb{R})$, once implemented in spectral methods, enjoy a number of important advantages if their differentiation matrix is skew-symmetric and highly structured. Such systems, where the differentiation…

Numerical Analysis · Mathematics 2019-11-14 Arieh Iserles , Marcus Webb

In recent years, sparse spectral methods for solving partial differential equations have been derived using hierarchies of classical orthogonal polynomials on intervals, disks, disk-slices and triangles. In this work we extend the…

Numerical Analysis · Mathematics 2020-12-22 Ben Snowball , Sheehan Olver

The spectral element method constructed by the $Q^k$ ($k\geq 2$) continuous finite element method with $(k+1)$-point Gauss-Lobatto quadrature on rectangular meshes is a popular high order scheme for solving wave equations in various…

Numerical Analysis · Mathematics 2021-08-31 Hao Li , Daniel Appelö , Xiangxiong Zhang

We introduce a novel spectral element method based on the ultraspherical spectral method and the hierarchical Poincar\'{e}-Steklov scheme for solving second-order linear partial differential equations on polygonal domains with unstructured…

Numerical Analysis · Mathematics 2021-05-19 Daniel Fortunato , Nicholas Hale , Alex Townsend

Sparse spectral methods for solving partial differential equations have been derived in recent years using hierarchies of classical orthogonal polynomials on intervals, disks, and triangles. In this work we extend this methodology to a…

Numerical Analysis · Mathematics 2020-01-17 Ben Snowball , Sheehan Olver

We introduce discontinuous spectral-element methods of arbitrary order that are well balanced, conservative of mass, and conservative or dissipative of total energy (i.e., a mathematical entropy function) for a covariant flux formulation of…

Numerical Analysis · Mathematics 2026-02-10 Tristan Montoya , Andrés M. Rueda-Ramírez , Gregor J. Gassner

In this paper an extension of the spectral Lanczos' tau method to systems of nonlinear integro-differential equations is proposed. This extension includes (i) linearization coefficients of orthogonal polynomials products issued from…

Numerical Analysis · Mathematics 2017-02-15 P. B. Vasconcelos , J. Matos , M. S. Trindade

We present spectral methods developed in our group to solve three-dimensional partial differential equations. The emphasis is put on equations arising from astrophysical problems in the framework of general relativity.

General Relativity and Quantum Cosmology · Physics 2007-05-23 S. Bonazzola , E. Gourgoulhon , J. -A. Marck

Several recently discovered properties of multiple families of special polynomials (some orthogonal and some not) that satisfy certain differential, difference or q-difference equations are reviewed. A general method of construction of…

Mathematical Physics · Physics 2018-08-03 Oksana Bihun

Global spectral methods offer the potential to compute solutions of partial differential equations numerically to very high accuracy. In this work, we develop a novel global spectral method for linear partial differential equations on cubes…

Numerical Analysis · Mathematics 2022-10-25 Christoph Strössner , Daniel Kressner
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