| Chapter Introduction | |
| E02ACF | Minimax curve fit by polynomials |
| E02ADF | Least-squares curve fit, by polynomials, arbitrary data points |
| E02AEF | Evaluation of fitted polynomial in one variable from Chebyshev series form (simplified parameter list) |
| E02AFF | Least-squares polynomial fit, special data points (including interpolation) |
| E02AGF | Least-squares polynomial fit, values and derivatives may be constrained, arbitrary data points |
| E02AHF | Derivative of fitted polynomial in Chebyshev series form |
| E02AJF | Integral of fitted polynomial in Chebyshev series form |
| E02AKF | Evaluation of fitted polynomial in one variable from Chebyshev series form |
| E02BAF | Least-squares curve cubic spline fit (including interpolation) |
| E02BBF | Evaluation of fitted cubic spline, function only |
| E02BCF | Evaluation of fitted cubic spline, function and derivatives |
| E02BDF | Evaluation of fitted cubic spline, definite integral |
| E02BEF | Least-squares cubic spline curve fit, automatic knot placement |
| E02CAF | Least-squares surface fit by polynomials, data on lines |
| E02CBF | Evaluation of fitted polynomial in two variables |
| E02DAF | Least-squares surface fit, bicubic splines |
| E02DCF | Least-squares surface fit by bicubic splines with automatic knot placement, data on rectangular grid |
| E02DDF | Least-squares surface fit by bicubic splines with automatic knot placement, scattered data |
| E02DEF | Evaluation of fitted bicubic spline at a vector of points |
| E02DFF | Evaluation of fitted bicubic spline at a mesh of points |
| E02GAF | L1-approximation by general linear function |
| E02GBF | L1-approximation by general linear function subject to linear inequality constraints |
| E02GCF | Linfty-approximation by general linear function |
| E02RAF | Padé-approximants |
| E02RBF | Evaluation of fitted rational function as computed by E02RAF |
| E02ZAF | Sort two-dimensional data into panels for fitting bicubic splines |