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)

pylbo.utilities.eq_balance.get_equilibrium_balance(ds: pylbo.data_containers.LegolasDataSet) → dict

pylbo.utilities.eq_balance._needs_continuity(ds: pylbo.data_containers.LegolasDataSet) → bool

pylbo.utilities.eq_balance._needs_force_balance_2(ds: pylbo.data_containers.LegolasDataSet) → bool

pylbo.utilities.eq_balance._needs_force_balance_3(ds: pylbo.data_containers.LegolasDataSet) → bool

pylbo.utilities.eq_balance._needs_induction_balance_1(ds: pylbo.data_containers.LegolasDataSet) → bool

pylbo.utilities.eq_balance._needs_induction_balance_2(ds: pylbo.data_containers.LegolasDataSet) → bool

pylbo.utilities.eq_balance._continuity_balance(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray

pylbo.utilities.eq_balance._force_balance_1(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray

pylbo.utilities.eq_balance._force_balance_2(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray

pylbo.utilities.eq_balance._force_balance_3(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray

pylbo.utilities.eq_balance._energy_balance(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray

pylbo.utilities.eq_balance._induction_balance_1(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray

pylbo.utilities.eq_balance._induction_balance_2(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray

pylbo.utilities.eq_balance._get_conduction_prefactor(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray

pylbo.utilities.eq_balance._get_conduction_prefactor_derivative(ds: pylbo.data_containers.LegolasDataSet) → numpy.ndarray

pylbo.utilities.eq_balance._derivative_from_gradient(fname: str, fname_prim: str, bg: dict, with_respect_to: numpy.ndarray) → numpy.ndarray