Unbiased Random Integration Methods with Exactness for Low Order Polynomials,

Abstract

When a definite integral cannot be evaluated exactly, the authors turn to computer-based methods for approximations. There are many different kinds of such procedures, but they divide roughly into two classes: deterministic and random. They explore the use of methods that combine these two approaches, preserving the unbiasedness and error estimation advantages of random methods, but at the same time maintaining the closer approximation generally found in deterministic methods. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADP001583

Entities

People

  • Andrew F. Siegel
  • Fanny O'brien

Organizations

  • Princeton University

Tags

DTIC Thesaurus Topics

  • California
  • Computers
  • Data Science
  • Experimental Design
  • Information Science
  • Integrals
  • Mathematics
  • Military Research
  • Polynomials
  • Precision

Fields of Study

  • Mathematics

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Statistical inference.