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Indefinite integration with validation
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Volume 15 ,  Issue 4  (December 1989) table of contents
Pages: 375 - 393  
Year of Publication: 1989
ISSN:0098-3500
Authors
George Corliss  Marquette Univ., Milwaukee, WI
Gary Krenz  Marquette Univ., Milwaukee, WI
Publisher
ACM  New York, NY, USA
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ABSTRACT

We present an overview of two approaches to validated one-dimensional indefinite integration. The first approach is to find an inclusion of the integrand, then integrate this inclusion to obtain an inclusion of the indefinite integral. Inclusions for the integrand may be obtained from Taylor polynomials, Tschebyscheff polynomials, or other approximating forms which have a known error term. The second approach finds an inclusion of the indefinite integral directly as a linear combination of function evaluations plus an interval-valued error term. This requires a self-validating form of a quadrature formula such as Gaussian quadrature. In either approach, composite formulae improve the accuracy of the inclusion. The result of the validated indefinite integration is an algorithm which may be represented as a character string, a subroutine in a high-level programming language such as Pascal-SC or Fortran, or as a collection of data. An example is given showing the application of validated indefinite integration in constructing a validated inclusion of the error function, erf(x).


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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REVIEW

"Luigi Gatteschi : Reviewer"

The authors discuss two approaches for obtaining approximate, validated formulas for the one-dimensional indefinite integral gx=a

    x
ft more...

Collaborative Colleagues:
George Corliss: colleagues
Gary Krenz: colleagues

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