HBOQ(14)4 swMATH ID: 9635 Software Authors: Nguyen, Ba Truong; Sharp, Philip W.; Vaillancourt, Rémi Description: Hermite-Birkhoff-Obrechkoff four-stage four-step ODE solver of order 14 with quantized step size. A four-stage Hermite-Birkhoff-Obrechkoff method of order 14 with four quantized variable steps, denoted by HBOQ(14)4, is constructed for solving non-stiff systems of first-order differential equations of the form y ’ =f(t,y) with initial conditions y(t 0 )=y 0 . Its formula uses y ’ ,y ” and y ”’ as in Obrechkoff methods. Forcing a Taylor expansion of the numerical solution to agree with an expansion of the true solution leads to multistep- and Runge-Kutta-type order conditions which are reorganized into linear Vandermonde-type systems. To reduce overhead, simple formulae are derived only once to obtain the values of Hermite-Birkhoff interpolation polynomials in terms of Lagrange basis functions for 16 quantized step size ratios. The step size is controlled by a local error estimator. When programmed in C++, HBOQ(14)4 is superior to the Dormand-Prince Runge-Kutta pair DP(8,7)13M of order 8 in solving several problems often used to test higher order ordinary differential equation solvers at stringent tolerances. When programmed in Matlab, it is superior to ode113 in solving costly problems, on the basis of the number of steps, CPU time, and maximum global error. The code is available on the URL www.site.uottawa.ca/∼remi. Homepage: http://www.sciencedirect.com/science/article/pii/S0377042707006358 Keywords: general linear method; Hermite-Birkhoff method; Obrechkoff method; Vandermonde-type systems; maximum global error; number of function evaluations; CPU time; DP(8; 7)13M; comparing ODE solvers; multistep method; numerical examples; Runge-Kutta method; stepsize control; Dormand-Prince method; non-stiff systems; error estimator; Matlab Related Software: Matlab; ode113 Cited in: 1 Document Cited by 3 Authors 1 Nguyen-Ba, Truong 1 Sharp, Philip W. 1 Vaillancourt, Rémi Cited in 1 Serial 1 Journal of Computational and Applied Mathematics Cited in 3 Fields 1 Ordinary differential equations (34-XX) 1 Numerical analysis (65-XX) 1 Computer science (68-XX) Citations by Year