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Nurul Raihen

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Articles

Convergence Rates for Hestenes’ Gram–Schmidt Conjugate Direction Method without Derivatives in Numerical Optimization

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By Ivie Stein, Nurul Raihen, M. Nurul
| MDPI
1. Introduction The conjugate gradient (CG) and conjugate direction (CD) methods have been extended to the optimization of nonquadratic functions by several authors. Fletcher and Reeves [1] gave a direct extension of the conjugate gradient (CG) method. An approach to conjugate direction (CD) methods using only function values was developed by Powell [2]. Davidon [3] developed a variable metric algorithm, which was later modified by Fletcher and Powell [4].
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