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Algorithm 869: ODRPACK95: A Weighted Orthogonal Distance Regression Code with Bound Constraints

机译:算法869:ODRPACK95:具有约束条件的加权正交距离回归码

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摘要

ODRPACK (TOMS Algorithm 676) has provided a complete package for weighted orthogonal distance regression for many years. The code is complete with user selectable reporting facilities, numerical and analytic derivatives, derivative checking, and many more features. The foundation for the algorithm is a stable and efficient trust region Levenberg-Marquardt minimizer that exploits the structure of the orthogonal distance regression problem. ODRPACK95 was created to extend the functionality and usability of ODRPACK. ODRPACK95 adds bound constraints, uses the newer Fortran 95 language, and simplifies the interface to the user called subroutine.
机译:ODRPACK(TOMS算法676)多年来一直为加权正交距离回归提供完整的软件包。该代码具有用户可选的报告功能,数值和分析导数,导数检查以及许多其他功能的完整信息。该算法的基础是稳定有效的信任区域Levenberg-Marquardt最小化器,它利用正交距离回归问题的结构。 ODRPACK95的创建是为了扩展ODRPACK的功能和可用性。 ODRPACK95添加了绑定约束,使用了更新的Fortran 95语言,并简化了与用户的称为子例程的接口。

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