E02 (Fit)

Curve and Surface Fitting

E02 (Fit) Chapter Introduction – A description of the Chapter and an overview of the algorithms available.

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 ${L}_{1}$-approximation by general linear function |

e02gcc | 7 | nag_fit_glin_linf ${L}_{\infty}$-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 |