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• 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