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Gaussian Numerical Integration of a Function Depending on a Parameter
Author(s) -
H. Tompa
Publication year - 1967
Publication title -
the computer journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 64
eISSN - 1460-2067
pISSN - 0010-4620
DOI - 10.1093/comjnl/10.2.204
Subject(s) - computation , gaussian , numerical integration , computer science , function (biology) , mathematics , gaussian function , algorithm , mathematical optimization , mathematical analysis , physics , quantum mechanics , evolutionary biology , biology
All three formulae use twenty-seven points per subinterval. With h = \, (5.3) gives the approximation and lower-sign formulae give errors of —0-000 011 343 and 0-000 007 835, respectively. For h = \, when each formula uses 216 points, (5.3) gives an error of 0-000 000 067 and the two formulae (4.11) give errors of 0-725 524 912 with error 0-000 034 104, while the upper 0- 002 and 0-000 000 003, respectively.

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