Monotone piecewise cubic data fitting

Conference · Fri Jul 01 04:00:00 EDT 1988

DOI:https://doi.org/10.1007/978-1-4899-3442-0_10· OSTI ID:6125020

Fritsch, F. N.

This paper describes PCHLS, an algorithm for least squares fitting of a monotone piecewise cubic function to data. It extends the piecewise cubic Hermite interpolation package PCHIP to situations in which the data are noisy or are adequately represented by far fewer cubic pieces than data points. 6 refs., 5 figs.

• Research Organization: Lawrence Livermore National Lab., CA (USA)
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 6125020
• Report Number(s): UCRL-98149; CONF-890742-1; ON: DE89006742
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS
990230* -- Mathematics & Mathematical Models-- (1987-1989)
ALGORITHMS
LEAST SQUARE FIT
MATHEMATICAL LOGIC
MAXIMUM-LIKELIHOOD FIT
NUMERICAL SOLUTION