Created
February 11, 2016 22:54
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| if __name__=="__main__": | |
| # A=[[1,2,1,0],[3,1,0,1]] | |
| # A=np.array(A) | |
| # | |
| # b=np.array([6,9]) | |
| # c=np.array([[-2],[-1],[0],[0]]) | |
| # I=np.array([2,3]) | |
| # | |
| # print(simplex(I, c, A, b)) | |
| # | |
| for t in range(0,30): | |
| data=np.load('test_cases/test{0}.npz'.format(t)) | |
| I,I_dual,A,b,c,f,x = data['I'], data['I_dual'], data['A'], data['b'], data['c'], data['f'], data['x'] | |
| f1,x1 = dual_simplex(I, c, A, b) | |
| if np.linalg.norm(x1 - x) < 1e-10: | |
| print "Passed test case {0}".format(t) | |
| else: | |
| print "Failed test case {0}".format(t) | |
| print(x1) | |
| print(x) | |
| break |
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