Question: matrix = = np.array([[1., 2., 3., 0.5], [4., 5., 0., 0.], [-1., -2., 1., 1.]]). np.array([2., 0., 1., -2.]). - vector = Part (b) --

matrix = = np.array([[1., 2., 3., 0.5], [4., 5., 0., 0.], [-1., -2., 1., 1.]]). np.array([2., 0., 1., -2.]). - vector = Part

matrix = = np.array([[1., 2., 3., 0.5], [4., 5., 0., 0.], [-1., -2., 1., 1.]]). np.array([2., 0., 1., -2.]). - vector = Part (b) -- 1 pt Perform matrix multiplication output matrix x vector by using for loops to iterate through the columns and rows. Do not use any builtin NumPy functions. Cast your output into a Numpy array, if it isn't one already. = Hint: be mindful of the dimension of output

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