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Maryam Khoshsimaye-Bargard

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#machine learning Preprint Sep 2026

A family of spectral conjugate gradient algorithms derived by least-squares approximations based on a modified quasi--Newton update with application to a revised robust binary classification model

We develop a spectral three-term modification of the classic Hestenes--Stiefel conjugate gradient algorithm, preserving its anti-jamming characteristic and, simultaneously, taking care of the sufficient descent property. We discuss how a modified secant equation can be extracted from our modification scheme, yielding a...

Saman Babaie-Kafaki, Maryam Khoshsimaye-Bargard, Ahmad Mousavi · 0 citations

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