Approximate Gauss–Newton methods for solving underdetermined nonlinear least squares problems.
点击次数：
第一作者：Bao, Ji-Feng
发表时间：2017-01-01
发表刊物：Appl. Numer. Math.
所属单位：数理与信息工程学院
文献类型：期刊
卷号：Vol.111
页面范围：92-110
ISSN号：0168-9274
关键字：Nonlinear least squares problems;Approximate Gauss-Newton methods;Lipschitz condition
摘要：We propose several approximate Gauss-Newton methods, i.e., the truncated, perturbed, and truncated-perturbed GN methods, for solving underdetermined nonlinear least squares problems. Under the assumption that the Frechet derivatives are Lipschitz continuo
是否译文：否