A Structured Secant Method Based on a New Quasi-Newton Equation for Nonlinear Least Squares Problems

被引:1
|
作者
J. Z. Zhang
Y. Xue
K. Zhang
机构
[1] City University of Hong Kong,Department of Mathematics
[2] Beijing Polytechnic University,Department of Applied Mathematics
来源
BIT Numerical Mathematics | 2003年 / 43卷
关键词
Nonlinear least squares; structured secant method; quasi-Newton equation; superlinear convergence; quadratic convergence;
D O I
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中图分类号
学科分类号
摘要
In this paper, a new quasi-Newton equation is applied to the structured secant methods for nonlinear least squares problems. We show that the new equation is better than the original quasi-Newton equation as it provides a more accurate approximation to the second order information. Furthermore, combining the new quasi-Newton equation with a “product structure”, a new algorithm is established. It is shown that the resulting algorithm is quadratically convergent for the zero-residual case and superlinearly convergent for the nonzero-residual case. In order to compare the new algorithm with some related methods, our preliminary numerical experiments are also reported.
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页码:217 / 229
页数:12
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