E02 (fit) Chapter Introduction – a description of the Chapter and an overview of the algorithms available
Routine Name |
Mark of Introduction |
Purpose |
e02acf
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1 | nagf_fit_withdraw_1dmmax Minimax curve fit by polynomials Note: this routine is scheduled for withdrawal at Mark 27, see Advice on Replacement Calls for Withdrawn/Superseded Routines for further information. |
e02adf
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5 | nagf_fit_dim1_cheb_arb Least squares curve fit, by polynomials, arbitrary data points |
e02aef
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5 | nagf_fit_dim1_cheb_eval Evaluation of fitted polynomial in one variable from Chebyshev series form (simplified parameter list) |
e02aff
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5 | nagf_fit_dim1_cheb_glp Least squares polynomial fit, special data points (including interpolation) |
e02agf
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8 | nagf_fit_dim1_cheb_con Least squares polynomial fit, values and derivatives may be constrained, arbitrary data points |
e02ahf
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8 | nagf_fit_dim1_cheb_deriv Derivative of fitted polynomial in Chebyshev series form |
e02ajf
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8 | nagf_fit_dim1_cheb_integ Integral of fitted polynomial in Chebyshev series form |
e02akf
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8 | nagf_fit_dim1_cheb_eval2 Evaluation of fitted polynomial in one variable from Chebyshev series form |
e02alf
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25 | nagf_fit_dim1_minimax_polynomial Minimax curve fit by polynomials |
e02baf
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5 | nagf_fit_dim1_spline_knots Least squares curve cubic spline fit (including interpolation) |
e02bbf
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5 | nagf_fit_dim1_spline_eval Evaluation of fitted cubic spline, function only |
e02bcf
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7 | nagf_fit_dim1_spline_deriv Evaluation of fitted cubic spline, function and derivatives |
e02bdf
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7 | nagf_fit_dim1_spline_integ Evaluation of fitted cubic spline, definite integral |
e02bef
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13 | nagf_fit_dim1_spline_auto Least squares cubic spline curve fit, automatic knot placement |
e02bff
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24 | nagf_fit_dim1_spline_deriv_vector Evaluation of fitted cubic spline, function and optionally derivatives at a vector of points |
e02caf
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7 | nagf_fit_dim2_cheb_lines Least squares surface fit by polynomials, data on lines parallel to one independent coordinate axis |
e02cbf
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7 | nagf_fit_dim2_cheb_eval Evaluation of fitted polynomial in two variables |
e02daf
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6 | nagf_fit_dim2_spline_panel Least squares surface fit, bicubic splines |
e02dcf
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13 | nagf_fit_dim2_spline_grid Least squares surface fit by bicubic splines with automatic knot placement, data on rectangular grid |
e02ddf
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13 | nagf_fit_dim2_spline_sctr Least squares surface fit by bicubic splines with automatic knot placement, scattered data |
e02def
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14 | nagf_fit_dim2_spline_evalv Evaluation of fitted bicubic spline at a vector of points |
e02dff
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14 | nagf_fit_dim2_spline_evalm Evaluation of fitted bicubic spline at a mesh of points |
e02dhf
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23 | nagf_fit_dim2_spline_derivm Evaluation of spline surface at mesh of points with derivatives |
e02gaf
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7 | nagf_fit_glin_l1sol -approximation by general linear function |
e02gbf
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7 | nagf_fit_glinc_l1sol -approximation by general linear function subject to linear inequality constraints |
e02gcf
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8 | nagf_fit_glin_linf -approximation by general linear function |
e02jdf
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24 | nagf_fit_dim2_spline_ts_sctr Spline approximation to a set of scattered data using a two-stage approximation method |
e02jef | 24 | nagf_fit_dim2_spline_ts_evalv Evaluation at a vector of points of a spline computed by e02jdf |
e02jff | 24 | nagf_fit_dim2_spline_ts_evalm Evaluation at a mesh of points of a spline computed by e02jdf |
e02raf
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7 | nagf_fit_pade_app Padé approximants |
e02rbf
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7 | nagf_fit_pade_eval Evaluation of fitted rational function as computed by e02raf |
e02zaf
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6 | nagf_fit_dim2_spline_sort Sort two-dimensional data into panels for fitting bicubic splines |
e02zkf | 24 | nagf_fit_opt_set Option setting routine |
e02zlf | 24 | nagf_fit_opt_get Option getting routine |