Statistical Concepts in Computational Mathematics.
Discussion of the strong dependence of computer science on probability and statistics. This RAND study in computational mathematics and its applications offers a number of examples to illustrate this dependence and is a potentially profitable source of research problems in the interface between probability and statistics and computer science. Some examples deal with numerical processing of algebraic quantities, stabilizing solutions of equations, and computer arithmetic processes. As a consequence of the dependence noted, it is recommended that computer science education planners include a prerequisite of probability and statistics. In addition, numerical analysts and other computer users involved in numerical data processing will find the examples and the list of references useful in seeking methods to control rapid numerical error growth in their computations. 36 pp. Ref