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二维矩阵乘法案例

二维矩阵相乘计算原理:第一个矩阵的每一行分别与第二个矩阵的每一列做向量点乘,将所得结果填入新矩阵相应的位置。
例如,给定矩阵 A = [ [1, 2 ], [3, 4] ]和 B = [ [5, 6 ], [7, 8] ],它们的乘积AB分别为:

AB[ 0 ] [ 0 ] = A[ 0 ] [ 0 ] * B[ 0 ] [ 0 ] +  A[ 0 ] [ 1 ] * B[ 1 ] [ 0 ] = 19
AB[ 0 ] [ 1 ] = A[ 0 ] [ 0 ] * B[ 0 ] [ 1 ] +  A[ 0 ] [ 1 ] * B[ 1 ] [ 1 ] = 22
AB[ 1 ] [ 0 ] = A[ 1 ] [ 0 ] * B[ 0 ] [ 0 ] +  A[ 1 ] [ 1 ] * B[ 1 ] [ 0 ] = 43
AB[ 1 ] [ 1 ] = A[ 1 ] [ 0 ] * B[ 0 ] [ 1 ] +  A[ 1 ] [ 1 ] * B[ 1 ] [ 1 ] = 50


原文地址:https://blog.csdn.net/w13716207404/article/details/139191451

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