/Python/Scipy solve equation numerically

Scipy solve equation numerically

>>> from scipy.optimize import fsolve
>>> def func(x):
...     return [x[0] * np.cos(x[1]) - 4,
...             x[1] * x[0] - x[1] - 5]
>>> root = fsolve(func, [1, 1])
>>> root
array([6.50409711, 0.90841421])
>>> np.isclose(func(root), [0.0, 0.0])  # func(root) should be almost 0.0.
array([ True,  True])

Source: docs.scipy.org

Similar codes

0 vote137 views1 answer
Onetoone vs foreign key django
Python
2 votes141 views2 answers
Conda create jupyter kernel
Python
0 vote122 views1 answer
éliminer le background image python
Python
0 vote161 views1 answer
Decode in django templates
Python Django
1 vote164 views1 answer
How to get continuous mouse position with pyautogui in python
Python
0 vote131 views1 answer
Numpy stack arrays vertically
Python
0 vote125 views1 answer
Convert unit dynamo revit
Python
17 votes122 views2 answers
Python list subdirectories
Python
0 vote128 views1 answer
Genrate unique key in python
Python
0 vote112 views1 answer
Time.ctime(os.path.getmtime phyton in datetime
Python