Conjugate gradient methods form a class of iterative algorithms that are highly effective for solving large‐scale unconstrained optimisation problems. They achieve efficiency by constructing search ...
SIAM Journal on Numerical Analysis, Vol. 20, No. 3 (Jun., 1983), pp. 626-637 (12 pages) Algorithms based on trust regions have been shown to be robust methods for unconstrained optimization problems.
SIAM Journal on Numerical Analysis, Vol. 15, No. 6 (Dec., 1978), pp. 1247-1257 (11 pages) This paper studies the convergence of a conjugate gradient algorithm proposed in a recent paper by Shanno. It ...
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