Diag(A)
x = diag( A , k ) returns a column vector of the elements on the k th diagonal of A . Examples. collapse all. Create Diagonal Matrices. ,diag(a) creates a vector consisting of the diagonal elements a[1,1], a[2,2], ... of matrix a, which does not need to be square. The length of the result is min(nrows(a), ...
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 Diag(A) 相關參考資料
Advanced Modelling in Mathematical Finance: In Honour of ...
T Then (oo – diag(x)) → –#1-for a – Co. Proof We have seen in Sect. 2.1.2 that Q – diag(A) is invertible if all Ai > 0 and so the same is true for 0.0 – diag(A). https://books.google.com.tw Create diagonal matrix or get diagonal elements of matrix ...
x = diag( A , k ) returns a column vector of the elements on the k th diagonal of A . Examples. collapse all. Create Diagonal Matrices. https://www.mathworks.com diag()
diag(a) creates a vector consisting of the diagonal elements a[1,1], a[2,2], ... of matrix a, which does not need to be square. The length of the result is min(nrows(a), ... http://www.stat.umn.edu Diagonal matrix - Wikipedia
In linear algebra, a diagonal matrix is a matrix in which the entries outside the main diagonal are all zero; the term usually refers to square matrices. An example ... https://en.wikipedia.org diag（函数）_百度百科
diag函数在FreeMat、Matlab中该函数用于构造一个对角矩阵，不在对角线上元素全为0的方阵，或者以向量的形式返回一个矩阵上对角线元素。... https://baike.baidu.com MATLAB diag - MathWorks
x = diag( A , k ) returns a column vector of the elements on the k th diagonal of A . Examples. collapse all. Create Diagonal Matrices. https://in.mathworks.com What does 1.diag(A) mean? - Stack Overflow
diag(A) returns a vector with the diagonal elements of matrix A ./ is the element-wise division operator, so 1./diag(A) inverts the elements from ... https://stackoverflow.com 创建对角矩阵或获取矩阵的对角元素- MATLAB diag - MathWorks
x = diag( A , k ) 返回 A 的第 k 条对角线上元素的列向量。 示例. 全部折叠. 创建诊断矩阵. https://ww2.mathworks.cn 對角矩陣- 維基百科，自由的百科全書 - Wikipedia
一對角矩陣 diag ( a 1 , … , a n ) -displaystyle -textdiag}}-left(a_1},-dots ,a_n}-right)} -displaystyle -textdiag}}-left(a_1 的行列式為其特徵值的乘積，即 ∏ i = 1 n ... https://zh.wikipedia.org |