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this commit tries to address issue #12
I've reduced loop iterations while creating the coefficient matrix and b vector (by Using NumPy/Scipy operations).
This reduced the runtime on my machine from 4.5~ seconds on average to 3.6~ seconds on average.
Furthermore I've changed the function which solves the linear problem from pyamg.solve to Scipy.sparse.linalg.spsolve.
All changes together reduces runtime on average from 4.5~ to 0.5~ seconds.
All tests were done with the test() function in file poissonblending.py, time measure without saving the image.