finite_difference

Estimates first-order derivatives of a vector

misc

This implements the Brunton et al (2016; PNAS <doi:10.1073/pnas.1517384113>) sparse
identification algorithm for finding ordinary differential equations for a measured
system from raw data (SINDy). The package includes a set of additional tools for
working with raw data, with an emphasis on cognitive science applications (Dale
and Bhat, 2018 <doi:10.1016/j.cogsys.2018.06.020>). See
<https://github.com/racdale/sindyr> for examples and updates.

Rick Dale

sindyr

Sparse Identification of Nonlinear Dynamics

finite_difference function

<dl> <dt>x</dt>
<dd>Raw data to be differentiated</dd> <dt>S</dt>
<dd>Sample rate of data to return derivatives using raw time</dd>
</dl>

Arguments

Author

Estimate derivative of variable with finite differences — finite_difference

<dl>

 <dt>x</dt>
<dd>Raw data to be differentiated</dd>

 <dt>S</dt>
<dd>Sample rate of data to return derivatives using raw time</dd>


</dl>

finite_difference: Estimate derivative of variable with finite differences

Description

Value

Arguments

Author

Details