Q: How to construct a matrix with 23 elements?

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They are the number in the matrix.

A sparse matrix is a matrix in which most of the elements are zero.

No. A scalar matrix is a diagonal matrix whose main diagonal elements are the same. Only if the diagonal elements are all 1 is it an identity matrix.

A matrix that have one or more elements with value zero.

It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero. It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero. It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero. It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero.

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Reduced matrix is a matrix where the elements of the matrix is reduced by eliminating the elements in the row which its aim is to make an identity matrix.

They are the number in the matrix.

A sparse matrix is a matrix in which most of the elements are zero.

No. A scalar matrix is a diagonal matrix whose main diagonal elements are the same. Only if the diagonal elements are all 1 is it an identity matrix.

what is the key element of skill matrix

A matrix.

A matrix that have one or more elements with value zero.

Zero Matrix When all elements of a matrix are zero than the matrix is called zero matrix. Example: A=|0 0 0|

Elements.

It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero. It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero. It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero. It will be a square matrix and, to that extent, it is diagonalisable. However, the diagonal elements need not be non-zero.

Lower-triangular Matrix A square matrix A whose elements aij=0 for i

You basically write a nested for loop (one for within another one), to copy the elements of the matrix to a new matrix.