Terative methods with certified convergence for the computation of Gauss-Jacobi quadratures are described. The methods do not require a priori estimations of the nodes to guarantee its fourth-order convergence. They are shown to be generally faster than previous methods and without practical restrictions on the range of the parameters. The evaluation of the nodes and weights of the quadrature is exclusively based on convergent processes which, together with the fourth-order convergence of the fixed point method for computing the nodes, makes this an ideal approach for high-accuracy computations, so much so that computations of quadrature rules with even millions of nodes and thousands of digits are possible on a typical laptop.This work was...
Abstract. In this paper, quadrature formulas on the real line with the highest degree of accuracy, w...
Asymptotic approximations to the zeros of Jacobi polynomials are given, with methods to obtain the c...
Numerical analysis has become important in solving large eigenvalue problems in science and engineer...
Iterative methods with certified convergence for the computation of Gauss–Jacobi quadratures are des...
Methods for the computation of classical Gaussian quadrature rules are described which are effective...
An efficient algorithm for the accurate computation of Gauss–Legendre and Gauss–Jacobi quadrature no...
An efficient algorithm for the accurate computation of Gauss–Legendre and Gauss–Jacobi quadrature no...
Iterative methods with certified convergence for the computation of Gauss–Jacobi quadratures are des...
Methods for the computation of classical Gaussian quadrature rules are described which are effective...
Methods for the computation of classical Gaussian quadrature rules are described which are effective...
A new algorithm for constructing quadrature formulas with multiple Gaussian nodes in the presence o...
Asymptotic approximations to the zeros of Jacobi polynomials are given, with methods to obtain the c...
International audienceWe describe a strategy for rigorous arbitrary-precision evaluation of Legendre...
We describe a strategy for rigorous arbitrary-precision evaluation of Legendre polynomials on the un...
In this paper, quadrature formulas on the real line with the highest degree of accuracy, with positi...
Abstract. In this paper, quadrature formulas on the real line with the highest degree of accuracy, w...
Asymptotic approximations to the zeros of Jacobi polynomials are given, with methods to obtain the c...
Numerical analysis has become important in solving large eigenvalue problems in science and engineer...
Iterative methods with certified convergence for the computation of Gauss–Jacobi quadratures are des...
Methods for the computation of classical Gaussian quadrature rules are described which are effective...
An efficient algorithm for the accurate computation of Gauss–Legendre and Gauss–Jacobi quadrature no...
An efficient algorithm for the accurate computation of Gauss–Legendre and Gauss–Jacobi quadrature no...
Iterative methods with certified convergence for the computation of Gauss–Jacobi quadratures are des...
Methods for the computation of classical Gaussian quadrature rules are described which are effective...
Methods for the computation of classical Gaussian quadrature rules are described which are effective...
A new algorithm for constructing quadrature formulas with multiple Gaussian nodes in the presence o...
Asymptotic approximations to the zeros of Jacobi polynomials are given, with methods to obtain the c...
International audienceWe describe a strategy for rigorous arbitrary-precision evaluation of Legendre...
We describe a strategy for rigorous arbitrary-precision evaluation of Legendre polynomials on the un...
In this paper, quadrature formulas on the real line with the highest degree of accuracy, with positi...
Abstract. In this paper, quadrature formulas on the real line with the highest degree of accuracy, w...
Asymptotic approximations to the zeros of Jacobi polynomials are given, with methods to obtain the c...
Numerical analysis has become important in solving large eigenvalue problems in science and engineer...