pylbo.utilities.eq_balance

Functions

get_equilibrium_balance(→ dict)

_needs_continuity(→ bool)

_needs_force_balance_2(→ bool)

_needs_force_balance_3(→ bool)

_needs_induction_balance_1(→ bool)

_needs_induction_balance_2(→ bool)

_continuity_balance(→ numpy.ndarray)

_force_balance_1(→ numpy.ndarray)

_force_balance_2(→ numpy.ndarray)

_force_balance_3(→ numpy.ndarray)

_energy_balance(→ numpy.ndarray)

_induction_balance_1(→ numpy.ndarray)

_induction_balance_2(→ numpy.ndarray)

_get_conduction_prefactor(→ numpy.ndarray)

_get_conduction_prefactor_derivative(→ numpy.ndarray)

_derivative_from_gradient(→ numpy.ndarray)

Module Contents

pylbo.utilities.eq_balance.get_equilibrium_balance(ds: pylbo.data_containers.LegolasDataSet) → dict[source]
pylbo.utilities.eq_balance._needs_continuity(ds: pylbo.data_containers.LegolasDataSet) → bool[source]
pylbo.utilities.eq_balance._needs_force_balance_2(ds: pylbo.data_containers.LegolasDataSet) → bool[source]
pylbo.utilities.eq_balance._needs_force_balance_3(ds: pylbo.data_containers.LegolasDataSet) → bool[source]
pylbo.utilities.eq_balance._needs_induction_balance_1(ds: pylbo.data_containers.LegolasDataSet) → bool[source]
pylbo.utilities.eq_balance._needs_induction_balance_2(ds: pylbo.data_containers.LegolasDataSet) → bool[source]
pylbo.utilities.eq_balance._continuity_balance(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray[source]
pylbo.utilities.eq_balance._force_balance_1(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray[source]
pylbo.utilities.eq_balance._force_balance_2(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray[source]
pylbo.utilities.eq_balance._force_balance_3(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray[source]
pylbo.utilities.eq_balance._energy_balance(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray[source]
pylbo.utilities.eq_balance._induction_balance_1(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray[source]
pylbo.utilities.eq_balance._induction_balance_2(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray[source]
pylbo.utilities.eq_balance._get_conduction_prefactor(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray[source]
pylbo.utilities.eq_balance._get_conduction_prefactor_derivative(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray[source]
pylbo.utilities.eq_balance._derivative_from_gradient(fname: str, fname_prim: str, bg: dict, with_respect_to: numpy.ndarray) → numpy.ndarray[source]