Classification of Critical Points Using a Second Order Derivative
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F17%3A43932146" target="_blank" >RIV/49777513:23520/17:43932146 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.procs.2017.05.281" target="_blank" >http://dx.doi.org/10.1016/j.procs.2017.05.281</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2017.05.281" target="_blank" >10.1016/j.procs.2017.05.281</a>
Alternative languages
Result language
angličtina
Original language name
Classification of Critical Points Using a Second Order Derivative
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA17-05534S" target="_blank" >GA17-05534S: Meshless methods for large scattered spatio-temporal vector data visualization</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia Computer Science 108C
ISBN
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ISSN
1877-0509
e-ISSN
neuvedeno
Number of pages
5
Pages from-to
2373-2377
Publisher name
Elsevier
Place of publication
Zurich
Event location
Zurich
Event date
Jun 12, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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