lasdi.latent_dynamics.edmd

Classes

Functions

get_function_from_string(func_str)

Module Contents

lasdi.latent_dynamics.edmd.get_function_from_string(func_str)

class lasdi.latent_dynamics.edmd.edmd(dim, high_order_terms, rand_functions, nt, config)

Bases: lasdi.latent_dynamics.LatentDynamics

fd_type = ''

fd = None

fd_oper = None

high_order_terms

rand_functions

ncoefs

coef_norm_order = 1

MSE

calibrate(Z, dt, compute_loss=True, numpy=False): loop over all train cases, if Z dimension is 3

simulate(coefs, z0, t_grid): Integrates each system of ODEs corresponding to each training points, given the initial condition Z0 = encoder(U0)

export()