Least squares methods for models including ordinary and partial differential equations

被引：0

作者：

Kallrath, J ^{[1
]}

机构：

[1] BASF AG, D-67056 Ludwigshafen, Germany

来源：

MODERN ASTROMETRY AND ASTRODYNAMICS | 1999年

关键词：

D O I：

暂无

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

This contribution gives a brief overview on nonlinear constrained least squares methods. The focus is on data fitting problems in which the models include ordinary or partial differential equations.

引用

页码：61 / 75

页数：15