A recent promising variant on the use of the method of conjugate gradients for nonlinear optimization is studied both theoretically and, computationally, on a class of easily generated test problems. It turns out to give about the same results as standard methods do.
By: Mary F. McGuire, Philip Wolfe
Published in: RC4382 in 1973
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