The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods
The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods
Two FORTRAN packages for assessing initial value methods
ACM Transactions on Mathematical Software (TOMS)
Numerical comparisons of some explicit Runge-Kutta pairs of orders 4 through 8
ACM Transactions on Mathematical Software (TOMS)
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
A Modified Multistep Method for the Numerical Integration of Ordinary Differential Equations
Journal of the ACM (JACM)
Solving Ordinary Differential Equations Using Taylor Series
ACM Transactions on Mathematical Software (TOMS)
Sensitivity Analysis of ODES/DAES Using the Taylor Series Method
SIAM Journal on Scientific Computing
VSVO formulation of the taylor method for the numerical solution of ODEs
Computers & Mathematics with Applications
Journal of Computational and Applied Mathematics
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A one-step 7-stage Hermite-Birkhoff-Taylor method of order 11, denoted by HBT(11)7, is constructed for solving nonstiff first-order initial value problems y^'=f(t,y), y(t"0)=y"0. The method adds the derivatives y^' to y^(^6^), used in Taylor methods, to a 7-stage Runge-Kutta method of order 6. Forcing an expansion of the numerical solution to agree with a Taylor expansion of the true solution to order 11 leads to Taylor- and Runge-Kutta-type order conditions. These conditions are reorganized into Vandermonde-type linear systems whose solutions are the coefficients of the method. The new method has a larger scaled interval of absolute stability than the Dormand-Prince DP87 and a larger unscaled interval of absolute stability than the Taylor method, T11, of order 11. HBT(11)7 is superior to DP87 and T11 in solving several problems often used to test higher-order ODE solvers on the basis of the number of steps, CPU time, and maximum global error. Numerical results show the benefit of adding high-order derivatives to Runge-Kutta methods.