A fast sparse spectral method for nonlinear integro-differential Volterra equations with general kernels

05/12/2020
by   Timon S. Gutleb, et al.
0

We present a sparse spectral method for nonlinear integro-differential Volterra equations based on the Volterra operator's banded sparsity structure when acting on specific Jacobi polynomial bases. The method is not restricted to convolution-type kernels of the form K(x,y)=K(x-y) but instead works for general kernels at competitive speeds and with exponential convergence. We provide various numerical experiments on problems with or without known analytic solutions and comparisons with other methods.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
08/19/2022

Semi-analytic PINN methods for singularly perturbed boundary value problems

We propose a new semi-analytic physics informed neural network (PINN) to...
research
01/09/2022

A multivariate spectral hybridization of HS and PRP method for nonlinear systems of equations

We present a multivariate spectral hybridization of Hestenes-Stiefel (HS...
research
12/25/2020

Kernel-Independent Sum-of-Exponentials with Application to Convolution Quadrature

We propose an accurate algorithm for a novel sum-of-exponentials (SOE) a...
research
06/24/2020

Efficient numerical evaluation of thermodynamic quantities on infinite (semi-)classical chains

This work presents an efficient numerical method to evaluate the free en...
research
06/30/2020

A unified structure preserving scheme for a multi-species model with a gradient flow structure and nonlocal interactions via singular kernels

In this paper, we consider a nonlinear and nonlocal parabolic model for ...
research
10/30/2020

Computing Equilibrium Measures with Power Law Kernels

We introduce a method to numerically compute equilibrium measures for pr...

Please sign up or login with your details

Forgot password? Click here to reset