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HAMSI: A Parallel Incremental Optimization Algorithm Using Quadratic Approximations for Solving Partially Separable Problems

Published in arXiv (Cornell University) • Sep 5, 2015
NobleIDNI7P64W76R19S35
Authors:
Kamer Kaya
,
Figen Öztoprak
,
Ş. İlker Birbil

Abstract

We propose HAMSI (Hessian Approximated Multiple Subsets Iteration), which is a provably convergent, second order incremental algorithm for solving large-scale partially separable optimization problems. The algorithm is based on a local quadratic approximation, and hence, allows incorporating curvatu...

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