AbstractThe choice of initial step size is critical for the reliable numerical solution of the initial value problem for a system of ordinary differential equations. Automatic selection of this step size may lead to a more robust and efficient integration than its provision by a user, and is always more convenient. It is especially important for the reliability of an ODE solver used as a module in a larger software package.Previous approaches to making the selection are combined with some new ideas to produce an effective scheme for the automatic choice of the initial step size. Numerical results illustrate the roles played by the individual phases of the algorithm and show that the whole algorithm is both robust and efficient
The efficiency of numerical time-stepping methods for dynamical systems is greatly enhanced by autom...
The efficiency of numerical time–stepping methods for dynamical systems is greatly enhanced by autom...
The last decades have seen a strongly increasing use of computers for modeling larger and more compl...
AbstractThe choice of initial step size is critical for the reliable numerical solution of the initi...
A scheme is developed for the automatic selection of the initial step size for an ODE solver. Additi...
AbstractA very simple way of selecting the step size when solving an initial problem for a system of...
AbstractOne of the more critical issues in solving ordinary differential equations by a step-by-step...
SIGLEAvailable from British Library Lending Division - LD:6184.6725(104) / BLDSC - British Library D...
Abstract. Implicit integration schemes for ODEs, such as Runge-Kutta and Runge-Kutta-Nyström method...
In this work, we present some techniques applicable to Initial Value Problems when solving a System ...
In this article, three numerical methods namely Euler’s, Modified Euler, and Runge-Kutta method have...
The computational uncertainty principle states that the numerical computation of nonlinear ordinary ...
Many beginning courses on ordinary differential equations have a computer laboratory component in wh...
AbstractThis paper is concerned with adaptive stiff solvers at low accuracy and complexity for syste...
Numerical solver uncertainty is high when the solutions of the differential equations of a model, co...
The efficiency of numerical time-stepping methods for dynamical systems is greatly enhanced by autom...
The efficiency of numerical time–stepping methods for dynamical systems is greatly enhanced by autom...
The last decades have seen a strongly increasing use of computers for modeling larger and more compl...
AbstractThe choice of initial step size is critical for the reliable numerical solution of the initi...
A scheme is developed for the automatic selection of the initial step size for an ODE solver. Additi...
AbstractA very simple way of selecting the step size when solving an initial problem for a system of...
AbstractOne of the more critical issues in solving ordinary differential equations by a step-by-step...
SIGLEAvailable from British Library Lending Division - LD:6184.6725(104) / BLDSC - British Library D...
Abstract. Implicit integration schemes for ODEs, such as Runge-Kutta and Runge-Kutta-Nyström method...
In this work, we present some techniques applicable to Initial Value Problems when solving a System ...
In this article, three numerical methods namely Euler’s, Modified Euler, and Runge-Kutta method have...
The computational uncertainty principle states that the numerical computation of nonlinear ordinary ...
Many beginning courses on ordinary differential equations have a computer laboratory component in wh...
AbstractThis paper is concerned with adaptive stiff solvers at low accuracy and complexity for syste...
Numerical solver uncertainty is high when the solutions of the differential equations of a model, co...
The efficiency of numerical time-stepping methods for dynamical systems is greatly enhanced by autom...
The efficiency of numerical time–stepping methods for dynamical systems is greatly enhanced by autom...
The last decades have seen a strongly increasing use of computers for modeling larger and more compl...