| 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
|
L∞-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 |
