|
| Mat | A |
| |
| Mat | B |
| |
| Vec | y = {1.0, -0.5, 0.7, 0.2} |
| |
| Vec | p0 = {0.0, 0.0} |
| |
| Vec | eta0 = {0.1, -0.2, 0.05} |
| |
| Vec | obs_sigmas = {0.5, 1.2, 0.8, 1.5} |
| |
| Vec | eta_sigmas = {1.0, 0.7, 1.3} |
| |
Definition at line 225 of file test_contour_method.cpp.
◆ exact_eta_hat()
| Vec KnownLinearGaussianModel::exact_eta_hat |
( |
const Vec & |
p | ) |
const |
|
inline |
◆ exact_g_eta()
| Vec KnownLinearGaussianModel::exact_g_eta |
( |
const Vec & |
p | ) |
const |
|
inline |
◆ exact_H_eta()
| Mat KnownLinearGaussianModel::exact_H_eta |
( |
| ) |
const |
|
inline |
◆ exact_profiled_nll_using_base_constant()
| double KnownLinearGaussianModel::exact_profiled_nll_using_base_constant |
( |
const IProfileableLikelihood & |
like, |
|
|
const Vec & |
p |
|
) |
| const |
|
inline |
◆ predict()
| Vec KnownLinearGaussianModel::predict |
( |
const Vec & |
p, |
|
|
const Vec & |
eta |
|
) |
| const |
|
inline |
◆ W_eta_std()
| Mat KnownLinearGaussianModel::W_eta_std |
( |
| ) |
const |
|
inline |
◆ W_obs_std()
| Mat KnownLinearGaussianModel::W_obs_std |
( |
| ) |
const |
|
inline |
| Mat KnownLinearGaussianModel::A |
| Mat KnownLinearGaussianModel::B |
Initial value:= {
{1.0, 0.0, 0.5},
{0.0, 1.0, -0.2},
{0.3, -0.4, 1.0},
{1.0, 0.2, 0.0}
}
Definition at line 233 of file test_contour_method.cpp.
◆ eta0
| Vec KnownLinearGaussianModel::eta0 = {0.1, -0.2, 0.05} |
◆ eta_sigmas
| Vec KnownLinearGaussianModel::eta_sigmas = {1.0, 0.7, 1.3} |
◆ obs_sigmas
| Vec KnownLinearGaussianModel::obs_sigmas = {0.5, 1.2, 0.8, 1.5} |
◆ p0
| Vec KnownLinearGaussianModel::p0 = {0.0, 0.0} |
| Vec KnownLinearGaussianModel::y = {1.0, -0.5, 0.7, 0.2} |
The documentation for this struct was generated from the following file:
1.9.8