- E02 Introduction
- e02ac – Minimax curve fit by polynomials
- e02ad – Least-squares curve fit, by polynomials, arbitrary data points
- e02ae – Evaluation of fitted polynomial in one variable from Chebyshev series form (simplified parameter list)
- e02af – Least-squares polynomial fit, special data points (including interpolation)
- e02ag – Least-squares polynomial fit, values and derivatives may be constrained, arbitrary data points
- e02ah – Derivative of fitted polynomial in Chebyshev series form
- e02aj – Integral of fitted polynomial in Chebyshev series form
- e02ak – Evaluation of fitted polynomial in one variable from Chebyshev series form
- e02ba – Least-squares curve cubic spline fit (including interpolation)
- e02bb – Evaluation of fitted cubic spline, function only
- e02bc – Evaluation of fitted cubic spline, function and derivatives
- e02bd – Evaluation of fitted cubic spline, definite integral
- e02be – Least-squares cubic spline curve fit, automatic knot placement
- e02ca – Least-squares surface fit by polynomials, data on lines
- e02cb – Evaluation of fitted polynomial in two variables
- e02da – Least-squares surface fit, bicubic splines
- e02dc – Least-squares surface fit by bicubic splines with automatic knot placement, data on rectangular grid
- e02dd – Least-squares surface fit by bicubic splines with automatic knot placement, scattered data
- e02de – Evaluation of fitted bicubic spline at a vector of points
- e02df – Evaluation of fitted bicubic spline at a mesh of points
- e02ga – L_1-approximation by general linear function
- e02gb – L_1-approximation by general linear function subject to linear inequality constraints
- e02gc – L_ infinity -approximation by general linear function
- e02ra – Padé approximants
- e02rb – Evaluation of fitted rational function as computed by e02ra
- e02za – Sort two-dimensional data into panels for fitting bicubic splines