transform_ddts()#

TransformerTemplate.transform_ddts(ddts, inplace=False)[source]#

Apply the learned transformation to snapshot time derivatives.

If the transformation is denoted by $\mathcal{T}(q)$, this function implements ${\mathcal{T}}^{\prime }$ such that ${\mathcal{T}}^{\prime }(\frac{\text{d}}{\text{d}t}q)=\frac{\text{d}}{\text{d}t}\mathcal{T}(q)$.

Parameters:

ddts(n, …) ndarray

Matrix of n-dimensional snapshot time derivatives, or a single snapshot time derivative.

inplacebool

If True, overwrite ddts during the transformation. If False, create a copy of the data to transform.

Returns:

ddts_transformed(n, …) ndarray

Transformed n-dimensional snapshot time derivatives.