python-scipyHow can I use RK45 with Python and SciPy?
RK45 is an implementation of the Runge-Kutta 4th/5th order numerical method for solving ordinary differential equations (ODEs). It can be used with Python and SciPy to solve ODEs.
To use RK45 with Python and SciPy, the following code can be used:
from scipy.integrate import RK45
def f(t, y):
return y
solver = RK45(f, 0, [1], 1)
solver.step()
print(solver.t, solver.y)
This code will output 1 [1.0]
, indicating that the solution of the ODE at time t=1
is y=1.0
.
The code consists of the following parts:
- Importing the
RK45
class from thescipy.integrate
module:from scipy.integrate import RK45
- Defining the ODE to be solved:
def f(t, y): return y
- Creating an instance of the
RK45
class:solver = RK45(f, 0, [1], 1)
- Advancing the solution one step:
solver.step()
- Printing the solution:
print(solver.t, solver.y)
For more information, please refer to the SciPy documentation.
More of Python Scipy
- How can I use Python and Numpy to zip files?
- How do I install SciPy on Windows using Python?
- How can I check if a certain version of Python is compatible with SciPy?
- How do I use the scipy ttest_ind function in Python?
- How do I use Python XlsxWriter to write a NumPy array to an Excel file?
- How can I use Python Scipy to zoom in on an image?
- How do I use Python Numpy to read and write Excel (.xlsx) files?
- How do I create a 2D array of zeros using Python and NumPy?
- How do I use Python Scipy to perform a Z test?
- How to use Python, XML-RPC, and NumPy together?
See more codes...