Yu-hong Dai, Qin Ni, TESTING DIFFERENT CONJUGATE GRADIENT METHODS FOR LARGE-SCALE UNCONSTRAINED OPTIMIZATION, Journal of Computational Mathematics, Vol. 21, No. 3 (May 2003), pp. 311-320 ...

Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems.

In this paper, a family of three-term conjugate gradient methods is proposed to solve a large-scale unconstrained optimization problem.

Return to Top CG+: Conjugate Gradient The package CG+ is a Conjugate Gradient code for solving large-scale, unconstrained, nonlinear optimization problems. CG+ implements three different versions of ...

All optimization techniques in PROC NLMIXED use O(n2) memory except the conjugate gradient methods, which use only O(n) of memory and are designed to optimize problems with many parameters. Since the ...