datastructures.SpectralInfo

class datastructures.SpectralInfo(Re: float, nx: int = 64, ny: int = 64, lid_velocity: float = 1, Lx: float = 1, Ly: float = 1, max_iterations: int = 500, tolerance: float = 0.0001, method: str = None, iterations: int = None, converged: bool = False, final_residual: float = None, Nx: int = 64, Ny: int = 64, differentiation_method: str = 'fft', time_scheme: str = 'rk4', dt: float = 0.001, dealiasing: bool = True, multigrid: bool = False, mg_levels: int = 3)

Bases: Info

Spectral-specific metadata with discretization parameters.

Inherits all parameters from Info and adds spectral-specific parameters.

Parameters:

Nxint, optional

Number of spectral grid points in x-direction. Default is 64.

Nyint, optional

Number of spectral grid points in y-direction. Default is 64.

differentiation_methodstr, optional

Differentiation method (‘fft’, ‘chebyshev’, ‘matrix’). Default is ‘fft’.

time_schemestr, optional

Time integration scheme. Default is ‘rk4’.

dtfloat, optional

Time step size. Default is 0.001.

dealiasingbool, optional

Whether to use dealiasing. Default is True.

multigridbool, optional

Whether to use multigrid acceleration. Default is False.

mg_levelsint, optional

Number of multigrid levels. Default is 3.

Methods

__init__

Attributes

Lx
Ly
Nx
Ny
converged
dealiasing
differentiation_method
dt
final_residual
iterations
lid_velocity
max_iterations
method
mg_levels
multigrid
nx
ny
time_scheme
tolerance
Re

Lx: float = 1

Ly: float = 1

Nx: int = 64

Ny: int = 64

Re: float

converged: bool = False

dealiasing: bool = True

differentiation_method: str = 'fft'

dt: float = 0.001

final_residual: float = None

iterations: int = None

lid_velocity: float = 1

max_iterations: int = 500

method: str = None

mg_levels: int = 3

multigrid: bool = False

nx: int = 64

ny: int = 64

time_scheme: str = 'rk4'

tolerance: float = 0.0001