A Hyperbolic Rational Model for Unconstrained Non-Linear Optimization
Author(s) -
Nidhal Al-Assady,
Basim A. Hassan
Publication year - 2006
Publication title -
maǧallaẗ al-rāfidayn li-ʿulūm al-ḥāsibāt wa-al-riyāḍiyyāẗ/al-rafidain journal for computer sciences and mathematics
Language(s) - English
Resource type - Journals
eISSN - 2311-7990
pISSN - 1815-4816
DOI - 10.33899/csmj.2006.164047
Subject(s) - mathematics , conjugate gradient method , quadratic equation , scaling , invariant (physics) , convex function , regular polygon , convex optimization , minification , class (philosophy) , mathematical optimization , quadratic function , computer science , geometry , artificial intelligence , mathematical physics
College of Computer Sciences and Mathematics University of Mosul, Iraq Received on: 07/09/2003 Accepted on: 16/12/2003 ABSTRACT We consider a class of invariant Hyperbolic scaling of a strictly convex quadratic function, to extend the family of the conjugate gradient methods for solving unconstrained minimization problems. An algorithm is derived and evaluated numerically. The results indicate that, in general, the new algorithm is superior to the classical standard CG-algorithm.
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