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Two classes of multisecant methods for nonlinear acceleration
Author(s) -
Fang Hawren,
Saad Yousef
Publication year - 2009
Publication title -
numerical linear algebra with applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.02
H-Index - 53
eISSN - 1099-1506
pISSN - 1070-5325
DOI - 10.1002/nla.617
Subject(s) - jacobian matrix and determinant , mathematics , nonlinear system , mixing (physics) , class (philosophy) , acceleration , newton's method , fixed point , variable (mathematics) , quasi newton method , secant method , fixed point iteration , iterative method , mathematical analysis , mathematical optimization , computer science , physics , classical mechanics , quantum mechanics , artificial intelligence
Abstract Many applications in science and engineering lead to models that require solving large‐scale fixed point problems, or equivalently, systems of nonlinear equations. Several successful techniques for handling such problems are based on quasi‐Newton methods that implicitly update the approximate Jacobian or inverse Jacobian to satisfy a certain secant condition. We present two classes of multisecant methods which allow to take into account a variable number of secant equations at each iteration. The first is the Broyden‐like class, of which Broyden's family is a subclass, and Anderson mixing is a particular member. The second class is that of the nonlinear Eirola–Nevanlinna‐type methods. This work was motivated by a problem in electronic structure calculations, whereby a fixed point iteration, known as the self‐consistent field (SCF) iteration, is accelerated by various strategies termed ‘mixing’. Copyright © 2008 John Wiley & Sons, Ltd.