Comparison of Newton’s and Broyden’s Method as Nonlinear Solver in the Implementation of MFV-robustified Linear Regression-Reference-Cited by-同舟云学术

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Comparison of Newton’s and Broyden’s Method as Nonlinear Solver in the Implementation of MFV-robustified Linear Regression

Published:2022-10-09 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Tolner Ferenc¹,Barta Balazs¹,Eigner Gyorgy²

Affiliation:

1. Pannon Business Network Association,Szombathely,Hungary

2. University Research and Innovation Center, Physiological Controls Research Center and Óbuda University

Funder

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9945068/9945069/09945222.pdf?arnumber=9945222

Reference17 articles.

1. Investigations concerning resistance - importance of the choice of the formula determining the scale parameter;hajagos;Geophys Trans,1993

2. (Editor), Optimum Methods in Statistics;steiner;Akadémiai Kiadó,1997

3. (Editor), The Most Frequent Value. Introduction to a Modern Conception of Statistics;steiner;Akadémiai Kiadó,1991

4. Cellwise robust M regression

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-Enhanced Performance Evaluation of Python, MATLAB, and Scilab for Solving Nonlinear Systems of Equations: A Comparative Study Using the Broyden Method;American Journal of Computational Mathematics;2023

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