We consider the initial value problem for systems of ordinary differential equations such that the solution vector can be split into subvectors and each subvector represented as a product of a scalar amplitude and a shape vector which changes slowly with time. The equations for the shape vectors can be solved with much larger time steps than those required for the original equations. The numerical results show that a substantial reduction in the computing time may be achieved
Consider the class of Bobkov methods for solving the IVP: y′=f(x,y), x[a,b]. Four procedures for finding the step size h are presented. It is shown that these Bobkov methods with automatic stepsize control are faster (i.e. need fewer evaluations of f) than the corresponding Runge-Kutta methods.
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Initial value problems for systems of ordinary differential equations (ODEs) are solved numerically by using a combination of (a) the θ-method, (b) the sequential splitting procedure and (c) Richardson Extrapolation. Stability results for the combined numerical method are proved. It is shown, by using numerical experiments, that if the combined numerical method is stable, then it behaves as a second-order method.
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