A GENERAL NON-LINEAR LEAST SQUARES DATA-FITTING PROGRAM,

Abstract

The paper describes a general non-linear Least Squares Program (LSP). LSP will accept as many as 200 data values and will fit these data with any equation that conforms to the following criteria: is continuously differentiable; is a function of 5 or less independent variables; is linear or non-linear; and has twenty, or less, fitting parameters. In accordance with certain convergence criteria, the program calculates the values of the fitting parameters for which the given equation best fits the input data. The associated variances are calculated per data point and per fitting parameter. The program is written in FORTRAN IV and requires three tape drives and a 16K memory. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1969
Accession Number
AD0687276

Entities

People

  • A. R. Buhl
  • David Vogt

Tags

DTIC Thesaurus Topics

  • Convergence
  • Equations

Readers

  • Approximation Theory.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.