使用 WolframAlpha,在矩阵乘法中,为什么 "squared" 和 ^2 给我不同的结果?
Using WolframAlpha, in matrix multiplication, why are "squared" and ^2 giving me different results?
"squared" 输入: {{0,1,0,0},{0.325,0,0.2875,0.3875},{0,1,0,0},{0,1,0,0}} squared
输出:
"^2" 输入: {{0,1,0,0},{0.325,0,0.2875,0.3875},{0,1,0,0},{0,1,0,0}} ^2
输出:
squared
操作简单地对所有矩阵元素进行平方。
(cubed
以类似的方式工作)
示例:
^2
运算按预期执行矩阵乘法。
"squared" 输入: {{0,1,0,0},{0.325,0,0.2875,0.3875},{0,1,0,0},{0,1,0,0}} squared
输出:
"^2" 输入: {{0,1,0,0},{0.325,0,0.2875,0.3875},{0,1,0,0},{0,1,0,0}} ^2
输出:
squared
操作简单地对所有矩阵元素进行平方。
(cubed
以类似的方式工作)
示例:
^2
运算按预期执行矩阵乘法。