| C05RBF
| Solution of a system of nonlinear equations using first derivatives (easy-to-use) |
| C05RCF
| Solution of a system of nonlinear equations using first derivatives (comprehensive) |
| C05RDF
| Solution of a system of nonlinear equations using first derivatives (reverse communication) |
| C05ZDF
| Check user's routine for calculating first derivatives of a set of nonlinear functions of several variables |
| D04AAF
| Numerical differentiation, derivatives up to order 14, function of one real variable |
| E01AEF
| Interpolating functions, polynomial interpolant, data may include derivative values, one variable |
| E01BGF
| Interpolated values, interpolant computed by E01BEF, function and first derivative, one variable |
| E02AGF
| Least squares polynomial fit, values and derivatives may be constrained, arbitrary data points |
| E02AHF
| Derivative of fitted polynomial in Chebyshev series form |
| E02BCF
| Evaluation of fitted cubic spline, function and derivatives |
| E02BFF
| Evaluation of fitted cubic spline, function and optionally derivatives at a vector of points |
| E02DHF
| Evaluation of spline surface at mesh of points with derivatives |
| E04BBF
| Minimum, function of one variable, using first derivative |
| E04DGF
| Unconstrained minimum, preconditioned conjugate gradient algorithm, function of several variables using first derivatives (comprehensive) |
| E04GBF
| Unconstrained minimum of a sum of squares, combined Gauss–Newton and quasi-Newton algorithm using first derivatives (comprehensive) |
| E04GDF
| Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using first derivatives (comprehensive) |
| E04GYF
| Unconstrained minimum of a sum of squares, combined Gauss–Newton and quasi-Newton algorithm, using first derivatives (easy-to-use) |
| E04GZF
| Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using first derivatives (easy-to-use) |
| E04HCF
| Check user's routine for calculating first derivatives of function |
| E04HDF
| Check user's routine for calculating second derivatives of function |
| E04HEF
| Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm, using second derivatives (comprehensive) |
| E04HYF
| Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm, using second derivatives (easy-to-use) |
| E04KDF
| Minimum, function of several variables, modified Newton algorithm, simple bounds, using first derivatives (comprehensive) |
| E04KYF
| Minimum, function of several variables, quasi-Newton algorithm, simple bounds, using first derivatives (easy-to-use) |
| E04KZF
| Minimum, function of several variables, modified Newton algorithm, simple bounds, using first derivatives (easy-to-use) |
| E04LBF
| Minimum, function of several variables, modified Newton algorithm, simple bounds, using first and second derivatives (comprehensive) |
| E04LYF
| Minimum, function of several variables, modified Newton algorithm, simple bounds, using first and second derivatives (easy-to-use) |
| E04UCF
| Minimum, function of several variables, sequential QP method, nonlinear constraints, using function values and optionally first derivatives (comprehensive) |
| E04UFF
| Minimum, function of several variables, sequential QP method, nonlinear constraints, using function values and optionally first derivatives (reverse communication, comprehensive) |
| E04USF
| Minimum of a sum of squares, nonlinear constraints, sequential QP method, using function values and optionally first derivatives (comprehensive) |
| E04WDF
| Solves the nonlinear programming (NP) problem |
| E04YAF
| Check user's routine for calculating Jacobian of first derivatives |
| G01RTF
| Landau derivative function |
| G02HLF
| Calculates a robust estimation of a correlation matrix, user-supplied weight function plus derivatives |
| S14ADF
| Scaled derivatives of |
| S17AJF
| Airy function |
| S17AKF
| Airy function |