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2.2 矩阵运算
如果矩阵A =(aij)m×n,其转置矩阵B =(bij) = AT的所有元素定义为
![](https://epubservercos.yuewen.com/E65590/11298848104511106/epubprivate/OEBPS/Images/figure_0031_0007.jpg?sign=1739310252-iM1GA0MbaNPvE7ErZWRGdMHo2Ie65Elh-0-f25c8b3496a663998f9d824703774f44)
如果矩阵A =(aij)m×n,其180°旋转定义为
![](https://epubservercos.yuewen.com/E65590/11298848104511106/epubprivate/OEBPS/Images/figure_0031_0008.jpg?sign=1739310252-gX7tpVRTwrLvFj0kn4I1RjHHrlRSRuWK-0-607430a2b055f8dba110b78b96fe32e4)
给定两个矩阵A =(aij)m×n和B =(bij)n×p,它们的乘积C =(cij)m×p= A·B = AB的所有元素定义为
![](https://epubservercos.yuewen.com/E65590/11298848104511106/epubprivate/OEBPS/Images/figure_0031_0009.jpg?sign=1739310252-B5FOFaLPeY6BrGcqJVNeYujcphGMqal3-0-3074e6a109f8eea96ca3c8f4b7ac31ae)
给定两个矩阵A =(aij)m×n和B =(bij)m×n,它们的加法和减法定义为
![](https://epubservercos.yuewen.com/E65590/11298848104511106/epubprivate/OEBPS/Images/figure_0031_0010.jpg?sign=1739310252-lXjwkaMeARBoXFIXV4NEKdO3YteJ6fXj-0-54702cef0bd80baa4daca36543cf4458)
它们的阿达马积(Hadamard product),又称为逐元素积(elementwise product)定义为
![](https://epubservercos.yuewen.com/E65590/11298848104511106/epubprivate/OEBPS/Images/figure_0031_0011.jpg?sign=1739310252-TMlroSbBrU8KNwh3vhEnxG5LfcLtKbXv-0-f4236c27718dfc0aa313cf57cfdbeac4)
给定两个矩阵A =(aij)m×n和B =(bij)p×q,它们的克罗内克积(Kronnecker product)定义为
![](https://epubservercos.yuewen.com/E65590/11298848104511106/epubprivate/OEBPS/Images/figure_0032_0001.jpg?sign=1739310252-nn9wzilEVQD94G4uCqH0m49teXi8Ajfr-0-9c4123a8afcdb6f0487aa4e4d94c85cb)
如果x =(x1, x2, …, xn)T是向量,那么一元函数f(x)的逐元向量函数(elementwise vector function)定义为
![](https://epubservercos.yuewen.com/E65590/11298848104511106/epubprivate/OEBPS/Images/figure_0032_0002.jpg?sign=1739310252-4rj7JNPxK6VVNERzyO5tbEIRrcFunFgg-0-5905a717d6578a74aeb2a1ab6a5ecca6)
如果X =(xij)m×n是矩阵,那么一元函数f(x)的逐元矩阵函数(elementwise matrix function)定义为
![](https://epubservercos.yuewen.com/E65590/11298848104511106/epubprivate/OEBPS/Images/figure_0032_0003.jpg?sign=1739310252-9aIvSD7hg8YAB7D2QCJQxKlk4pM6qGf8-0-ed501a5d3fc85247e3ee45ef77a935f1)
逐元向量函数和逐元矩阵函数统称为逐元函数(elementwise function)。