A fast algorithm for the evaluation of Legendre expansions
SIAM Journal on Scientific and Statistical Computing
The pseudospectral method for third-order differential equations
SIAM Journal on Numerical Analysis
Properties of collocation third-derivative operators
Journal of Computational Physics
The Chebyshev-Legendre method: implementing Legendre methods on Chebyshev points
SIAM Journal on Numerical Analysis - Special issue: the articles in this issue are dedicated to Seymour V. Parter
On the Gibbs Phenomenon and Its Resolution
SIAM Review
Spectral Approximation of Third-Order Problems
Journal of Scientific Computing
Optimal Error Estimates of the Legendre--Petrov--Galerkin Method for the Korteweg--de Vries Equation
SIAM Journal on Numerical Analysis
A Legendre--Petrov--Galerkin and Chebyshev Collocation Method for Third-Order Differential Equations
SIAM Journal on Numerical Analysis
SIAM Journal on Numerical Analysis
Jacobi approximations in non-uniformly Jacobi-weighted Sobolev spaces
Journal of Approximation Theory
Matrix decomposition algorithms for elliptic boundary value problems: a survey
Numerical Algorithms
Computers & Mathematics with Applications
Computers & Mathematics with Applications
Journal of Computational Physics
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This paper analyzes a method for solving the third- and fifth-order differential equations with constant coefficients using a Jacobi dual-Petrov-Galerkin method, which is more reasonable than the standard Galerkin one. The spatial approximation is based on Jacobi polynomials P"n^(^@a^,^@b^) with @a,@b@?(-1,~) and n is the polynomial degree. By choosing appropriate base functions, the resulting system is sparse and the method can be implemented efficiently. A Jacobi-Jacobi dual-Petrov-Galerkin method for the differential equations with variable coefficients is developed. This method is based on the Petrov-Galerkin variational form of one Jacobi polynomial class, but the variable coefficients and the right-hand terms are treated by using the Gauss-Lobatto quadrature form of another Jacobi class. Numerical results illustrate the theory and constitute a convincing argument for the feasibility of the proposed numerical methods.