The matrix must be square (same number of rows and columns).
The determinant of the matrix must not be zero .
This is instead of the real number not being zero to have an inverse, the determinant must not
be zero to have an inverse.
A matrix that does not
have an inverse is called singular. A Rectangular matrixis a singular matrix which means it does not have an inverse.
An inverse of a rectangular matrix is still viable. Search for Moore-Penrose inverse, Generalized inverse or Pseudoinverse. I think the latter is used in Matlab.
Muthu Kumar M
Muthu Kumar M
In reply to Muthu Kumar M by Muthukumar M
Inverse of a Rectangular matrix
Requirements to have an Inverse
This is instead of the real number not being zero to have an inverse, the determinant must not
be zero to have an inverse.
A matrix that does not
have an inverse is called singular. A Rectangular matrixis a singular matrix which means it does not have an inverse.
Hope I have answered you.
Cheers,
Thiyagarajan Dev.
LU decompostion
LU decompostion may be an efficient numerical method, you can find its algorithm in "numercial recipes
Re: How do find Inverse to Rectangular Matrix?
An inverse of a rectangular matrix is still viable. Search for Moore-Penrose inverse, Generalized inverse or Pseudoinverse. I think the latter is used in Matlab.
Re: How do find Inverse to Rectangular Matrix?
Singular value decomposition (SVD) might also be helpful. You can look it up in "Numerical recipes".
as other friend
as other friend mentioned...simply by using (svd).try it with matlab.
svd([your matrix])