np.hermgauss() method we can get the quadrature value of the Gaussian hermit with
np.hermgauss () . p >
Return: Return the quadrature of gaussian hermite. p>
Example # 1:
In this example we see that using
np.hermgauss () we can get square gaussian hermit using this method.
(array ([- 1.22474487, 0., 1.22474487]), array ([0.29540898, 1.1816359, 0.29540898 ]))
Example # 2:
(array ([- 2.02018287, -0.95857246, 0., 0.95857246, 2.02018287]), array ([0.01995324, 0.39361932, 0.94530872, 0.39361932, 0.01995324]))
The role of adaptation, learning and optimization are becoming increasingly essen- tial and intertwined. The capability of a system to adapt either through modification of its physiological structure ...
It’s in all of us. Data science is what makes us humans what we are today. No, not the computer-driven da...
Cracking the Coding Interview PDF: 189 Programming Questions and Solutions, 6th Edition. I am not a recruiter. I am a software engineer. And as such, I know what it's like to be asked to create ing...
Efficiently perform data collection, wrangling, analysis, and visualization using Python. Recent advancements in computing and artificial intelligence have completely changed the way we understand ...