Function |
Mark of Introduction |
Purpose |
---|---|---|
e02adc | 5 | nag_fit_dim1_cheb_arb Computes the coefficients of a Chebyshev series polynomial for arbitrary data |
e02aec | 5 | nag_fit_dim1_cheb_eval Evaluates the coefficients of a Chebyshev series polynomial |
e02afc | 5 | nag_fit_dim1_cheb_glp Computes the coefficients of a Chebyshev series polynomial for interpolated data |
e02agc | 7 | nag_fit_dim1_cheb_con Least squares polynomial fit, values and derivatives may be constrained, arbitrary data points |
e02ahc | 7 | nag_fit_dim1_cheb_deriv Derivative of fitted polynomial in Chebyshev series form |
e02ajc | 7 | nag_fit_dim1_cheb_integ Integral of fitted polynomial in Chebyshev series form |
e02akc | 7 | nag_fit_dim1_cheb_eval2 Evaluation of fitted polynomial in one variable from Chebyshev series form |
e02alc | 24 | nag_fit_dim1_minimax_polynomial Minimax curve fit by polynomials |
e02bac | 2 | nag_fit_dim1_spline_knots Least squares curve cubic spline fit (including interpolation), one variable |
e02bbc | 2 | nag_fit_dim1_spline_eval Evaluation of fitted cubic spline, function only |
e02bcc | 2 | nag_fit_dim1_spline_deriv Evaluation of fitted cubic spline, function and derivatives |
e02bdc | 2 | nag_fit_dim1_spline_integ Evaluation of fitted cubic spline, definite integral |
e02bec | 2 | nag_fit_dim1_spline_auto Least squares cubic spline curve fit, automatic knot placement, one variable |
e02bfc | 24 | nag_fit_dim1_spline_deriv_vector Evaluation of fitted cubic spline, function and optionally derivatives at a vector of points |
e02cac | 7 | nag_fit_dim2_cheb_lines Least squares surface fit by polynomials, data on lines parallel to one independent coordinate axis |
e02cbc | 7 | nag_fit_dim2_cheb_eval Evaluation of fitted polynomial in two variables |
e02dac | 8 | nag_fit_dim2_spline_panel Least squares surface fit, bicubic splines |
e02dcc | 2 | nag_fit_dim2_spline_grid Least squares bicubic spline fit with automatic knot placement, two variables (rectangular grid) |
e02ddc | 2 | nag_fit_dim2_spline_sctr Least squares bicubic spline fit with automatic knot placement, two variables (scattered data) |
e02dec | 2 | nag_fit_dim2_spline_evalv Evaluation of bicubic spline, at a set of points |
e02dfc | 2 | nag_fit_dim2_spline_evalm Evaluation of bicubic spline, at a mesh of points |
e02dhc | 23 | nag_fit_dim2_spline_derivm Evaluation of spline surface at mesh of points with derivatives |
e02gac | 7 | nag_fit_glin_l1sol -approximation by general linear function |
e02gcc | 7 | nag_fit_glin_linf -approximation by general linear function |
e02jdc | 24 | nag_fit_dim2_spline_ts_sctr Spline approximation to a set of scattered data using a two-stage approximation method |
e02jec | 24 | nag_fit_dim2_spline_ts_evalv Evaluation at a vector of points of a spline computed by e02jdc |
e02jfc | 24 | nag_fit_dim2_spline_ts_evalm Evaluation at a mesh of points of a spline computed by e02jdc |
e02rac | 7 | nag_fit_pade_app Padé approximants |
e02rbc | 7 | nag_fit_pade_eval Evaluation of fitted rational function as computed by e02rac |
e02zac | 8 | nag_fit_dim2_spline_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 |