NAG AD Library Introduction – information specific to the NAG AD Library

X10 (adutils) – Automatic Differentiation Utilities Chapter Introduction

C05 (roots)
Zero of continuous function in a given interval, Brent algorithm
d01fb_a1w_f  (nagf_md_gauss_a1w)
d01pa_a1w_f  (nagf_md_simplex_a1w)
d01rg_a1w_f  (nagf_dim1_fin_gonnet_vec_a1w)
E01 (interp)
e01ba_a1w_f  (nagf_dim1_spline_a1w)
Interpolating functions, cubic spline interpolant, one variable
e01be_a1w_f  (nagf_dim1_monotonic_a1w)
Interpolating functions, monotonicity-preserving, piecewise cubic Hermite, one variable
e01bg_a1w_f  (nagf_dim1_monotonic_deriv_a1w)
Interpolated values, interpolant computed by e01bef, function and first derivative, one variable
e01ea_a1w_f  (nagf_dim2_triangulate_a1w)
Triangulation of two-dimensional scattered grid, method of Renka and Cline
e01eb_a1w_f  (nagf_dim2_triang_bary_eval_a1w)
Barycentric interpolation on function values provided on a two-dimensional scattered grid
E02 (fit)
e02bb_a1w_f  (nagf_dim1_spline_eval_a1w)
Evaluation of fitted cubic spline, function only
E04 (opt)
e04dg_a1w_f  (nagf_uncon_conjgrd_comp_a1w)
Unconstrained minimum, preconditioned conjugate gradient algorithm, using first derivatives (comprehensive)
e04fc_a1w_f  (nagf_lsq_uncon_mod_func_comp_a1w)
Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm, using function values only (comprehensive)
Unconstrained minimum of a sum of squares, combined Gauss–Newton and quasi-Newton algorithm, using first derivatives (comprehensive)
F07 (lapacklin)
Computes the solution to a real tridiagonal system of linear equations
f07ce_a1w_f  (nagf_dgttrs_a1w)
Solves a real tridiagonal system of linear equations using the LU factorization computed by f07cdf
f07fd_a1w_f  (nagf_dpotrf_a1w)
Cholesky factorization of real symmetric positive definite matrix
f07fe_a1w_f  (nagf_dpotrs_a1w)
Solution of real symmetric positive definite system of linear equations, multiple right-hand sides, matrix already factorized by f07fdf
F08 (lapackeig)
Computes the singular value decomposition of a real matrix, optionally computing the left and/or right singular vectors (divide-and-conquer)
S (specfun)
s01ba_a1w_f  (nagf_log_shifted_a1w)
ln(1+x)
Create a configuration data object
Remove a configuration data object
Set the algorithmic mode
Get the algorithmic mode
Create a callback data object
Insert the location of the AD callback into the callback data object
Set the callback algorithmic mode