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 |