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Square Matrices:
If a matrix has similar number of rows and columns, for illustration, if m == n, the matrix is square matrix. The definitions which follow in this part apply only to the square matrices.
The main diagonal of a square matrix is the set of terms aii for which the row and column indices are similar, for illustration, from the upper left element to the lower right. For illustration, for the matrix below it is the set of numbers 1, 6, 11, & 16.
This is sometimes just called the diagonal. The MATLAB has a function diag which will return the diagonal of a matrix as a column vector.
>> mymat = reshape(1:16,4,4)'
mymat =
1 2 3 4
5 6 7 8
9 10 11 12
13 14 15 16
>> diag(mymat)'
ans =
1 6 11 16
Illustration of Variable scope: Running this function does not add any of variables to the workspace, as elaborated: >> clear >> who >> disp(mysum([5 9 1]))
Reduced Row Echelon Form: The Gauss Jordan technique results in a diagonal form; for illustration, for a 3 × 3 system: The Reduced Row Echelon Forms take this one step
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Example of Gauss-jordan: For a 2×2 system, this would results and for a 3 × 3 system, Note that the resulting diagonal form does not involve the right-most col
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