NAG Toolbox |

- E02 Introduction
- e02ac – Minimax curve fit by polynomials
- nag_fit_1dmmax – e02ac
- e02ad – Least squares curve fit, by polynomials, arbitrary data points
- nag_fit_1dcheb_arb – e02ad
- e02ae – Evaluation of fitted polynomial in one variable from Chebyshev series form (simplified parameter list)
- nag_fit_1dcheb_eval – e02ae
- e02af – Least squares polynomial fit, special data points (including interpolation)
- nag_fit_1dcheb_glp – e02af
- e02ag – Least squares polynomial fit, values and derivatives may be constrained, arbitrary data points
- nag_fit_1dcheb_con – e02ag
- e02ah – Derivative of fitted polynomial in Chebyshev series form
- nag_fit_1dcheb_deriv – e02ah
- e02aj – Integral of fitted polynomial in Chebyshev series form
- nag_fit_1dcheb_integ – e02aj
- e02ak – Evaluation of fitted polynomial in one variable from Chebyshev series form
- nag_fit_1dcheb_eval2 – e02ak
- e02ba – Least squares curve cubic spline fit (including interpolation)
- nag_fit_1dspline_knots – e02ba
- e02bb – Evaluation of fitted cubic spline, function only
- nag_fit_1dspline_eval – e02bb
- e02bc – Evaluation of fitted cubic spline, function and derivatives
- nag_fit_1dspline_deriv – e02bc
- e02bd – Evaluation of fitted cubic spline, definite integral
- nag_fit_1dspline_integ – e02bd
- e02be – Least squares cubic spline curve fit, automatic knot placement
- nag_fit_1dspline_auto – e02be
- e02bf – Evaluation of fitted cubic spline, function and optionally derivatives at a vector of points
- nag_fit_1dspline_deriv_vector – e02bf
- e02ca – Least squares surface fit by polynomials, data on lines parallel to one independent coordinate axis
- nag_fit_2dcheb_lines – e02ca
- e02cb – Evaluation of fitted polynomial in two variables
- nag_fit_2dcheb_eval – e02cb
- e02da – Least squares surface fit, bicubic splines
- nag_fit_2dspline_panel – e02da
- e02dc – Least squares surface fit by bicubic splines with automatic knot placement, data on rectangular grid
- nag_fit_2dspline_grid – e02dc
- e02dd – Least squares surface fit by bicubic splines with automatic knot placement, scattered data
- nag_fit_2dspline_sctr – e02dd
- e02de – Evaluation of fitted bicubic spline at a vector of points
- nag_fit_2dspline_evalv – e02de
- e02df – Evaluation of fitted bicubic spline at a mesh of points
- nag_fit_2dspline_evalm – e02df
- e02dh – Evaluation of spline surface at mesh of points with derivatives
- nag_fit_2dspline_derivm – e02dh
- e02ga – L_1-approximation by general linear function
- nag_fit_glin_l1sol – e02ga
- e02gb – L_1-approximation by general linear function subject to linear inequality constraints
- nag_fit_glinc_l1sol – e02gb
- e02gc – L_ infinity -approximation by general linear function
- nag_fit_glin_linf – e02gc
- e02jd – Spline approximation to a set of scattered data using a two-stage approximation method
- nag_fit_2dspline_ts_sctr – e02jd
- e02je – Evaluation at a vector of points of a spline computed by e02jd
- nag_fit_2dspline_ts_evalv – e02je
- e02jf – Evaluation at a mesh of points of a spline computed by e02jd
- nag_fit_2dspline_ts_evalm – e02jf
- e02ra – Padé approximants
- nag_fit_pade_app – e02ra
- e02rb – Evaluation of fitted rational function as computed by e02ra
- nag_fit_pade_eval – e02rb
- e02za – Sort two-dimensional data into panels for fitting bicubic splines
- nag_fit_2dspline_sort – e02za
- e02zk – Option setting routine
- nag_fit_opt_set – e02zk
- e02zl – Option getting routine
- nag_fit_opt_get – e02zl

E01 |
E04 |