TransportMaps.Distributions.Examples.Timoshenko.TimoshenkoDistributions

Module Contents

Classes

OrnsteinUhlenbeckCovariance

SquaredExponentialCovariance

IdentityCovariance

TimoshenkoYoungModulusPosteriorDistribution

param solver:

provides the evaluation of the cost functional
class TransportMaps.Distributions.Examples.Timoshenko.TimoshenkoDistributions.OrnsteinUhlenbeckCovariance(var, l)[source]

Bases: Covariance

_evaluate(dists)[source]
class TransportMaps.Distributions.Examples.Timoshenko.TimoshenkoDistributions.SquaredExponentialCovariance(var, l)[source]

Bases: Covariance

_evaluate(dists)[source]
class TransportMaps.Distributions.Examples.Timoshenko.TimoshenkoDistributions.IdentityCovariance(var)[source]

Bases: Covariance

_evaluate(dists)[source]
class TransportMaps.Distributions.Examples.Timoshenko.TimoshenkoDistributions.TimoshenkoYoungModulusPosteriorDistribution(solver, sens_pos_list, sens_geo_eps, piecewise=None, young_prior_mean_field_vals=None, young_prior_cov=OrnsteinUhlenbeckCovariance(1.0, 1.0), lkl_std=0.01, young_field_vals=None, real_observations=None)[source]

Bases: TransportMaps.Distributions.Inference.BayesPosteriorDistribution

Parameters:

solver (AdjointTimoshenkoSolver) – provides the evaluation of the cost functional \(J(u) = \sum_{i=1}^{n_\text{obs}} w_i \left( y_i - \int u s_i dx \right)^2\) and its gradients.