SPLINS and SMOOTH: two FORTRAN smoothing routines

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dc.contributor.authorBarry, JMen_AU
dc.date.accessioned2007-11-22T04:22:30Zen_AU
dc.date.accessioned2010-04-30T04:34:37Zen_AU
dc.date.available2007-11-22T04:22:30Zen_AU
dc.date.available2010-04-30T04:34:37Zen_AU
dc.date.issued1973-01en_AU
dc.description.abstractTwo FORTRAN subroutines are presented that determine interpolating functions for experimental data. The first produces a spline where the smoothness of the function and the degree to which it fits the data is determined by the user. The second allows subdivision of the data, with individual polynomials being used to approximate the data on each interval and the polynomials are constrained to be piecewise continuous along with their first derivatives. An option to make the second derivative continuous is also available.en_AU
dc.identifier.citationBarry, J. M. (1973). Splins & smooth, two fortran smoothing routines (AAEC/E253). Lucas Heights N.S.W.: Australian Atomic Energy Commission, Research Establishment.en_AU
dc.identifier.govdoc465en_AU
dc.identifier.isbn064299532Xen_AU
dc.identifier.otherAAEC-E-253en_AU
dc.identifier.urihttp://apo.ansto.gov.au/dspace/handle/10238/444en_AU
dc.language.isoen_auen_AU
dc.publisherAustralian Atomic Energy Commissionen_AU
dc.subjectDataen_AU
dc.subjectFortranen_AU
dc.subjectInterpolationen_AU
dc.subjectPolynomialsen_AU
dc.subjectS codesen_AU
dc.titleSPLINS and SMOOTH: two FORTRAN smoothing routinesen_AU
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