Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement

Algorithmic differentiation (AD) is an alternative to finite differences (FD) for evaluating function derivatives. The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. The secondary aim was t...

Descripción completa

Detalles Bibliográficos
Autores principales: Falisse, Antoine, Serrancolí, Gil, Dembia, Christopher L., Gillis, Joris, De Groote, Friedl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797126/
https://www.ncbi.nlm.nih.gov/pubmed/31622352
http://dx.doi.org/10.1371/journal.pone.0217730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797126/
https://www.ncbi.nlm.nih.gov/pubmed/31622352
http://dx.doi.org/10.1371/journal.pone.0217730

Ejemplares similares