Optimizer.py
53998921e32bmaster

Optimizer.py
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			import scipy.optimize
			import matplotlib.pyplot as plt
			from mpl_toolkits.mplot3d import Axes3D
			import numpy as np
			import Plotting




			value=[] # Variable that keeps solution of each iteration


			def getIterationSteps(x):
			#print(x)
			value.append(x)

			def scipyoptimizer(S,init):
			value.append(init)
			output=scipy.optimize.minimize(S,[0,0],tol=1e-9,method='CG',callback=getIterationSteps)
			return output,value