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Chapter Introduction | |
e04abc | nag_opt_one_var_no_deriv Minimizes a function of one variable, using function values only |
e04bbc | nag_opt_one_var_deriv Minimizes a function of one variable, requires first derivatives |
e04ccc | nag_opt_simplex Unconstrained minimization using simplex algorithm |
e04dgc | nag_opt_conj_grad Unconstrained minimization using conjugate gradients |
e04fcc | nag_opt_lsq_no_deriv Unconstrained nonlinear least squares (no derivatives required) |
e04gbc | nag_opt_lsq_deriv Unconstrained nonlinear least squares (first derivatives required) |
e04hcc | nag_opt_check_deriv Derivative checker for use with nag_opt_bounds_deriv (e04kbc) |
e04hdc | nag_opt_check_2nd_deriv Checks 2nd derivatives of a user-defined function |
e04jbc | nag_opt_bounds_no_deriv Bound constrained nonlinear minimization (no derivatives required) |
e04kbc | nag_opt_bounds_deriv Bound constrained nonlinear minimization (first derivatives required) |
e04lbc | nag_opt_bounds_2nd_deriv Solves bound constrained problems. 1st and 2nd derivatives are required. |
e04mfc | nag_opt_lp Linear programming |
e04myc | nag_opt_sparse_mps_free Free memory allocated by nag_opt_sparse_mps_read (e04mzc) |
e04mzc | nag_opt_sparse_mps_read Read MPSX data for sparse LP or QP problem from a file |
e04ncc | nag_opt_lin_lsq Solves linear least-squares and convex quadratic programming problems (non-sparse) |
e04nfc | nag_opt_qp Quadratic programming |
e04nkc | nag_opt_sparse_convex_qp Solves sparse linear programming or convex quadratic programming problems |
e04ucc | nag_opt_nlp Minimization with nonlinear constraints using a sequential QP method |
e04ugc | nag_opt_nlp_sparse NLP problem (sparse) |
e04unc | nag_opt_nlin_lsq Solves nonlinear least-squares problems using the sequential QP method |
e04xac | nag_opt_estimate_deriv Computes an approximation to the gradient vector and/or the Hessian matrix for use with nag_opt_nlp (e04ucc) and other nonlinear optimization functions |
e04xxc | nag_opt_init Initialisation function for option setting |
e04xyc | nag_opt_read Read options from a textfile |
e04xzc | nag_opt_free NAG memory freeing function for use with option setting |
e04yac | nag_opt_lsq_check_deriv Least-squares derivative checker for use with nag_opt_lsq_deriv (e04gbc) |
e04ycc | nag_opt_lsq_covariance Covariance matrix for nonlinear least-squares |