Regularization techniques for the analysis of singular dynamic systems

The problem of solving initial value problems associated with singular dynamic systems using spectral methods is discussed. These methods can be very sensitive to numerical errors and to the presence of noisy input data. An algorithm based on regularization techniques is presented in order to stabilize the solution. Some numerical examples are given.<<ETX>>