Numerical integrators using Numba
Project description
Numba Integrators
Numba Integrators is collection numerical integrators based on the ones in SciPy. Aim is to make them faster and much more compatible with Numba.
Table of Contents
Quick start guide
Here's how you can start
The first steps
Installing
Install Numba Integrators with pip
pip install numba-integrators
Importing
Import name is not the same as install name, numba-integrators
.
import numba_integrators
Example
import numba as nb
import numba_integrators as ni
import numpy as np
@nb.njit(nb.float64[:](nb.float64, nb.float64[:]))
def f(t, y):
'''Differential equation for sine wave'''
return np.array((y[1], -y[0]))
y0 = np.array((0., 1.))
solver = ni.RK45(f, 0.0, y0,
t_bound = 1, atol = 1e-8, rtol = 1e-8)
t = []
y = []
while ni.step(solver):
t.append(solver.t)
y.append(solver.y)
print(t)
print(y)
Example of the advanced function
import numba as nb
import numba_integrators as ni
import numpy as np
@nb.njit
def f(t, y, parameters):
'''Differential equation for sine wave'''
auxiliary = parameters[0] * y[1]
dy = np.array((auxiliary, -y[0])) + parameters[1]
return dy, auxiliary
t0 = 0.
y0 = np.array((0., 1.))
parameters = (2., np.array((-1., 1.)))
# Numba type signatures
parameters_signature = nb.types.Tuple((nb.float64, nb.float64[:]))
auxiliary_signature = nb.float64
solver_type = ni.RK45
Solver = ni.Advanced(parameters_signature, auxiliary_signature, solver_type)
solver = Solver(f, t0, y0, parameters,
t_bound = 1, atol = 1e-8, rtol = 1e-8)
t = []
y = []
auxiliary = []
while ni.step(solver):
t.append(solver.t)
y.append(solver.y)
auxiliary.append(solver.auxiliary)
print(t)
print(y)
print(auxiliary)
Changelog
0.2.2 2023-11-07
- Dev tools update
0.2.1 2023-08-11
- Advanced mode solver to handle functions with parameters and auxiliary output
0.1.2 2023-08-06
- Fixes
0.1.1 2023-08-05
- Initial working version
0.0.3 2023-05-14
- Inital working state
Project details
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