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28 lines
640 B
Python
28 lines
640 B
Python
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###############
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# Authored by Weisheng Jiang
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# Book 4 | From Basic Arithmetic to Machine Learning
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# Published and copyrighted by Tsinghua University Press
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# Beijing, China, 2022
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###############
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# Bk4_Ch2_07.py
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import numpy as np
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a = np.array([-2, 1, 1])
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b = np.array([1, -2, -1])
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# a = [-2, 1, 1]
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# b = [1, -2, -1]
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# calculate element-wise product of row vectors
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a_times_b = np.multiply(a, b)
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a_times_b_2 = a*b
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a_col = np.array([[-2], [1], [1]])
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b_col = np.array([[1], [-2], [-1]])
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# calculate element-wise product of column vectors
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a_times_b_col = np.multiply(a_col,b_col)
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a_times_b_col_2 = a_col*b_col
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