Natural continuous extensions of Runge-Kutta formulas
Mathematics of Computation
Automatic selection of the initial step size for an ODE solver
Journal of Computational and Applied Mathematics
A fully-discrete spectral method for delay-differential equations
SIAM Journal on Numerical Analysis
Derivation of efficient, continuous, explicit Runge-Kutta methods
SIAM Journal on Scientific and Statistical Computing
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
Some applications of continuous Runge-Kutta methods
Applied Numerical Mathematics - Special issue celebrating the centenary of Runge-Kutta methods
Nordsieck representation of two-step Runge-Kutta methods for ordinary differential equations
Applied Numerical Mathematics - Tenth seminar on and differential-algebraic equations (NUMDIFF-10)
Construction of highly stable parallel two-step Runge-Kutta methods for delay differential equations
Journal of Computational and Applied Mathematics
Two-step Runge-Kutta Methods with Quadratic Stability Functions
Journal of Scientific Computing
Numerical search for algebraically stable two-step almost collocation methods
Journal of Computational and Applied Mathematics
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We describe a construction of continuous extensions to a new representation of two-step Runge-Kutta methods for ordinary differential equations. This representation makes possible the accurate and reliable estimation of local discretization error, facilitates the efficient implementation of these methods in variable stepsize environment, and adapts readily to the numerical solution of a class of delay differential equations. A number of numerical tests carried out on the obtained methods of order 3 with quadratic interpolants show their efficiency and robust performance which allow them to compete with the state-of-the-art dde23 code from Matlab.