e02 Chapter Contents (PDF version)
e02 Chapter Introduction
NAG Library Manual

NAG Library Chapter Contents

e02 – Curve and Surface Fitting


e02 Chapter Introduction – a description of the Chapter and an overview of the algorithms available

Function
Name
Mark of
Introduction

Purpose
e02adc
Example Text
Example Data
5 nag_1d_cheb_fit
Computes the coefficients of a Chebyshev series polynomial for arbitrary data
e02aec
Example Text
Example Data
5 nag_1d_cheb_eval
Evaluates the coefficients of a Chebyshev series polynomial
e02afc
Example Text
Example Data
5 nag_1d_cheb_interp_fit
Computes the coefficients of a Chebyshev series polynomial for interpolated data
e02agc
Example Text
Example Data
Example Plot
7 nag_1d_cheb_fit_constr
Least squares polynomial fit, values and derivatives may be constrained, arbitrary data points
e02ahc
Example Text
Example Plot
7 nag_1d_cheb_deriv
Derivative of fitted polynomial in Chebyshev series form
e02ajc
Example Text
7 nag_1d_cheb_intg
Integral of fitted polynomial in Chebyshev series form
e02akc
Example Text
Example Plot
7 nag_1d_cheb_eval2
Evaluation of fitted polynomial in one variable from Chebyshev series form
e02alc
Example Text
Example Data
24 nag_1d_minimax_polynomial
Minimax curve fit by polynomials
e02bac
Example Text
Example Data
2 nag_1d_spline_fit_knots
Least squares curve cubic spline fit (including interpolation), one variable
e02bbc
Example Text
Example Data
2 nag_1d_spline_evaluate
Evaluation of fitted cubic spline, function only
e02bcc
Example Text
Example Data
2 nag_1d_spline_deriv
Evaluation of fitted cubic spline, function and derivatives
e02bdc
Example Text
Example Data
2 nag_1d_spline_intg
Evaluation of fitted cubic spline, definite integral
e02bec
Example Text
Example Data
Example Plot
2 nag_1d_spline_fit
Least squares cubic spline curve fit, automatic knot placement, one variable
e02bfc
Example Text
Example Data
24 nag_fit_1dspline_deriv_vector
Evaluation of fitted cubic spline, function and optionally derivatives at a vector of points
e02cac
Example Text
Example Data
Example Plot
7 nag_2d_cheb_fit_lines
Least squares surface fit by polynomials, data on lines parallel to one independent coordinate axis
e02cbc
Example Text
Example Data
Example Plot
7 nag_2d_cheb_eval
Evaluation of fitted polynomial in two variables
e02dac
Example Text
Example Data
Example Plot
8 nag_2d_spline_fit_panel
Least squares surface fit, bicubic splines
e02dcc
Example Text
Example Data
2 nag_2d_spline_fit_grid
Least squares bicubic spline fit with automatic knot placement, two variables (rectangular grid)
e02ddc
Example Text
Example Data
2 nag_2d_spline_fit_scat
Least squares bicubic spline fit with automatic knot placement, two variables (scattered data)
e02dec
Example Text
Example Data
2 nag_2d_spline_eval
Evaluation of bicubic spline, at a set of points
e02dfc
Example Text
Example Data
2 nag_2d_spline_eval_rect
Evaluation of bicubic spline, at a mesh of points
e02dhc
Example Text
Example Data
23 nag_2d_spline_deriv_rect
Evaluation of spline surface at mesh of points with derivatives
e02gac
Example Text
Example Data
7 nag_lone_fit
L1-approximation by general linear function
e02gcc
Example Text
Example Data
7 nag_linf_fit
L-approximation by general linear function
e02jdc
Example Text
Example Data
Example Plot
24 nag_2d_spline_fit_ts_scat
Spline approximation to a set of scattered data using a two-stage approximation method
e02jec 24 nag_2d_spline_ts_eval
Evaluation at a vector of points of a spline computed by nag_2d_spline_fit_ts_scat (e02jdc)
e02jfc 24 nag_2d_spline_ts_eval_rect
Evaluation at a mesh of points of a spline computed by nag_2d_spline_fit_ts_scat (e02jdc)
e02rac
Example Text
7 nag_1d_pade
Padé approximants
e02rbc
Example Text
Example Plot
7 nag_1d_pade_eval
Evaluation of fitted rational function as computed by nag_1d_pade (e02rac)
e02zac
Example Text
Example Data
8 nag_2d_panel_sort
Sort two-dimensional data into panels for fitting bicubic splines
e02zkc 24 nag_fit_opt_set
Option setting routine
e02zlc 24 nag_fit_opt_get
Option getting routine

e02 Chapter Contents (PDF version)
e02 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2016