Statistical Concepts in Computational Mathematics.

Abstract

The document discusses 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. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1970
Accession Number
AD0717165

Entities

People

  • M. L. Juncosa

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Arithmetic
  • Computations
  • Computer Science
  • Computers
  • Data Processing
  • Education
  • Equations
  • Information Processing
  • Information Science
  • Mathematics
  • Probability
  • Statistics
  • Theoretical Computer Science

Fields of Study

  • Mathematics

Readers

  • Computer Science.
  • Statistical inference.
  • Systems Analysis and Design