On experiences with PIL, an interpretive language, in an undergraduate numerical methods course

Abstract

The University of Pittsburgh's numerical calculus course acquaints students with various algorithms for interpolation, functional approximation, numerical differentiation and integration, and solving nonlinear equations. Computational and coding efficiency, regions and rates of convergence, and effects of errors are stressed.