angeris
/ estimate_crappy_pi.py
Last active
August 31, 2016 17:04
Runs different, crappy ways of estimating Pi
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| from numpy import * | |
| N, L = 1e8, 10 | |
| print("Here's your crappy estimation of pi: {}".format((sum(exp(-(random.rand(N)*2*L-L)**2))*2*L/N)**2)) |
angeris
/ Matrix.java
Last active
August 31, 2016 17:03
A simple, naive Matrix class with QR factorization, back-substitution, and least squares in Java for use in Hackerrank's easier Statistics/Machine Learning problems
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| /* | |
| * I threw together this set of classes to work on Hackerrank's stuff at a fairly low level. Of | |
| * course, you are provided with several libraries to do this for you, such as Weka, which makes | |
| * life quite a bit easier than setting up your own feature matrix. But for those who want to | |
| * have the simple stuff such as naive QR using Gram-Schmidt, back-substitution, and school-book | |
| * matrix multiplication, this will work. Even for fairly large datasets within Hackerrank | |
| * the performance is fast enough to give a very wide margin of extra time. Enjoy! | |
| * | |
| * Guille (@Guillean) | |
| */ |
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