Python RMTC.set_training_derivatives Examples

Example #1

def get_prop_smt_model():
    xt, yt, dyt_dxt, xlimits = get_b777_engine()

    this_dir = os.path.split(__file__)[0]

    interp = RMTC(
        num_elements=6,
        xlimits=xlimits,
        nonlinear_maxiter=20,
        approx_order=2,
        energy_weight=0.,
        regularization_weight=0.,
        extrapolate=True,
        print_global=False,
        data_dir=os.path.join(this_dir, '_smt_cache'),
    )
    interp.set_training_values(xt, yt)
    interp.set_training_derivatives(xt, dyt_dxt[:, :, 0], 0)
    interp.set_training_derivatives(xt, dyt_dxt[:, :, 1], 1)
    interp.set_training_derivatives(xt, dyt_dxt[:, :, 2], 2)
    interp.train()

    return interp

Example #2

File: run_b777_engine_rmtc.py Project: zeta1999/smt

from smt.surrogate_models import RMTC
from smt.examples.b777_engine.b777_engine import get_b777_engine, plot_b777_engine

xt, yt, dyt_dxt, xlimits = get_b777_engine()

interp = RMTC(
    num_elements=6,
    xlimits=xlimits,
    nonlinear_maxiter=20,
    approx_order=2,
    energy_weight=0.0,
    regularization_weight=0.0,
    extrapolate=True,
)
interp.set_training_values(xt, yt)
interp.set_training_derivatives(xt, dyt_dxt[:, :, 0], 0)
interp.set_training_derivatives(xt, dyt_dxt[:, :, 1], 1)
interp.set_training_derivatives(xt, dyt_dxt[:, :, 2], 2)
interp.train()

plot_b777_engine(xt, yt, xlimits, interp)