Numerical optimization by the conjugate gradient method

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1969

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Abstract

This thesis presents a unified treatment of the concept of conjugate directions and in particular of conjugate gradients used in highly versatile methods for minimization (maximization) of general non-linear functions as well as for the solution of sets of simultaneous equations. Comparison between two successful gradient methods results in the introduction of a new parameter capable of improving their applicability and efficiency.

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