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Preconditioned iterative methods for a class of nonlinear eigenvalue problems preconditioned iterative methods: preconditioned simple iteration method, preconditioned steepest descent method
Positive definiteness of forms: Numerical identification optimization technique, namely, the steepest descent and the conjugate gradient methods. The effectiveness
Preconditioned iterative methods for a class of nonlinear eigenvalue problems preconditioned iterative methods: preconditioned simple iteration method, preconditioned steepest descent method
Checking the definiteness of forms, such as the steepest descent method and the conjugate gradient method. A theoretical analysis and computational
Testing the sign-definiteness of forms optimization: the steepest descent method and the conjugate gradient method. Theoretical analysis and a
Descent method for monotone mixed variational inequalities combined regularization and descent method for initial monotone problems and establish convergence of its
Descent method for nonsmooth variational inequalitiesA descent method with a gap function is proposed for a finite-dimensional variational inequality
On convergence of descent methods for variational inequalities in a Hilbert space and convergence of the corresponding descent methods under a Hilbert space setting are considered. We give various
A descent method with inexact linear search for nonsmooth equilibrium problemsA descent method with respect to the gap function is formulated and justified for the nonsmooth
Descent methods for equilibrium problems in a banach space-free descent method and give conditions which provide strong convergence of the method. © 2004 Elsevier Ltd. AU
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