Classification of Critical Points Using a Second Order Derivative

被引:8
作者
Smolik, Michal [1 ]
Skala, Vaclav [1 ]
机构
[1] Univ West Bohemia, Plzen, Czech Republic
来源
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS 2017) | 2017年 / 108卷
关键词
vector field; critical point; Hessian matrix; curvature;
D O I
10.1016/j.procs.2017.05.271
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article presents a new method for classification of critical points. A vector field is usually classified using only a Jacobian matrix of the approximated vector field. This work shows how an approximation using a second order derivative can be used for more detailed classification. An algorithm for calculation of the curvature of main axes is also presented.
引用
收藏
页码:2373 / 2377
页数:5
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