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Exponential Quadrature Rules Without Order Reduction for Integrating Linear Initial Boundary Value Problems
Author(s) -
B. Cano,
M.J. Moreta
Publication year - 2018
Publication title -
siam journal on numerical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.78
H-Index - 134
eISSN - 1095-7170
pISSN - 0036-1429
DOI - 10.1137/17m1124279
Subject(s) - mathematics , gaussian quadrature , gauss–kronrod quadrature formula , tanh sinh quadrature , clenshaw–curtis quadrature , quadrature (astronomy) , numerical integration , gauss–laguerre quadrature , discretization , gauss–jacobi quadrature , boundary value problem , gauss–hermite quadrature , adaptive quadrature , exponential function , mathematical analysis , mathematical optimization , nyström method , computer science , control theory (sociology) , control (management) , artificial intelligence , electrical engineering , engineering
In this paper a technique is suggested to integrate linear initial boundary value problems with exponential quadrature rules in such a way that the order in time is as high as possible. A thorough error analysis is given both for the classical approach of integrating the problem first in space and then in time and for doing it in the reverse order in a suitable manner. Time-dependent boundary conditions are considered with both approaches and full discretization formulas are given to implement the methods once the quadrature nodes have been chosen for the time integration and a particular (although very general) scheme is selected for the space discretization. Numerical experiments are shown which corroborate that, for example with the suggested technique, order $2s$ is obtained when choosing the $s$ nodes of the Gaussian quadrature rule.

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