论文信息 - Relation between the memory gradient method and the Fletcher-Reeves method

Relation between the memory gradient method and the Fletcher-Reeves method

The minimization of a function of unconstrained variables is considered using the memory gradient method. It is shown that, for the particular case of a quadratic function, the memory gradient algorithm and the Fletcher-Reeves algorithm are identical.

J. W. Cantrell

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