Efficient tridiagonal preconditioner for the matrix-free truncated Newton method

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摘要

In this paper, we study an efficient tridiagonal preconditioner, based on the directional differentiation, applied to the matrix-free truncated Newton method for unconstrained optimization. It is proved that this preconditioner is positive definite for many practical problems. The efficiency of the resulting matrix-free truncated Newton method is demonstrated by results of extensive numerical experiments.

论文关键词:Unconstrained optimization,Large scale optimization,Matrix-free truncated Newton method,Preconditioned conjugate gradient method,Preconditioners obtained by the directional differentiation,Numerical algorithms

论文评审过程:Available online 28 March 2014.

论文官网地址:https://doi.org/10.1016/j.amc.2014.03.006