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...

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Bibliographic Details
Published in:PLoS One
Main Authors: Falisse, Antoine, Serrancolí, Gil, Dembia, Christopher L., Gillis, Joris, De Groote, Friedl
Format: Artigo
Language:Inglês
Published: Public Library of Science 2019
Subjects:
Research Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC6797126/
https://ncbi.nlm.nih.gov/pubmed/31622352
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0217730
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