Abstract

A new preconditioning method is investigated to reduce the roundoff error in computing derivatives using Chebyshev collocation methods(CCM). Using this preconditioning causes ratio of roundoff error of preconditioning method and CCM becomes small when N gets large. Also for accuracy enhancement of differentiation we use a domain decomposition approach. Error analysis shows that for this domain decomposition method error reduces proportional to the length of subintervals. Numerical results show that using domain decomposition and preconditioning simultaneously, gives super accurate approximate values for first derivative of the function and good approximate values for moderately high derivatives.

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