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
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
A general class of two-step Runge-Kutta methods for ordinary differential equations
SIAM Journal on Numerical Analysis
Applied Numerical Mathematics
SIAM Journal on Numerical Analysis
A Modified Multistep Method for the Numerical Integration of Ordinary Differential Equations
Journal of the ACM (JACM)
A Transformed implicit Runge-Kutta Method
Journal of the ACM (JACM)
Two-step Runge-Kutta Methods with Quadratic Stability Functions
Journal of Scientific Computing
Mathematics and Computers in Simulation
Two-step diagonally-implicit collocation based methods for Volterra Integral Equations
Applied Numerical Mathematics
Mathematics and Computers in Simulation
Two-step diagonally-implicit collocation based methods for Volterra Integral Equations
Applied Numerical Mathematics
Numerical search for algebraically stable two-step almost collocation methods
Journal of Computational and Applied Mathematics
Exponentially fitted singly diagonally implicit Runge-Kutta methods
Journal of Computational and Applied Mathematics
P-stable general Nyström methods for y˝=f(y(t))
Journal of Computational and Applied Mathematics
Order conditions for General Linear Nyström methods
Numerical Algorithms
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In the context of the numerical integration of initial value problems based on ordinary differential equations, it is the purpose of this paper to introduce a modification of two-step collocation methods, in order to obtain coefficient matrices with a structured shape, to get an efficient implementation. Our aim is the development of new collocation-based methods having high order of convergence and strong stability properties (e.g. A-stability and L-stability). We present the constructive technique, discuss the order of convergence and the stability properties of the resulting methods and provide some numerical results confirming the theoretical expectations.