Termination Criterion and Error Analysis of a Mixed Rule Using an Anti-Gaussian Rule in Whole Interval and Adaptive Algorithm

Bibhu Prasad Singh, Dr. Rajani Ballav Dash

Abstract: Mixed quadrature rules of higher precision for approximate evaluation of real definite integrals have been constructed using an anti-Gaussian rule. The analytical convergence of the rule has been studied. The error bounds have been determined asymptotically. In adaptive quadrature routines not before mixed quadrature rules basing on anti-Gaussian quadrature rule have been used for fixing termination criterion. Adaptive quadrature routines being recursive by nature, a termination criterion is formed taking in to account a mixed quadrature rule. The algorithm presented in this paper and successfully tested on different integrals by C program. The relative efficiency of the mixed quadrature rule is reflected in the table at the end.

Keywords: Anti-Gaussian rule, Gaussian rule, Fejer?s rule, mixed rule, adaptive algorithm, error analysis, termination criterion