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advantages: You can get to places faster Disadvantages: pollution people die from car crash :) people enslaved in the matrix john conner must die
You can factorize the matrix using LU or LDLT factorization algorithm. inverse of a diagonal matrix (D) is really simple. To find the inverse of L, which is a lower triangular matrix, you can find the answer in this link.www.mcs.csueastbay.edu/~malek/TeX/Triangle.pdfSince (A T )-1 = (A-1 )T for all matrix, you'll just have to find inverse of L and D.
advantages, disadvantages of digital control systems
flunking students has more disadvantages than advantages
The Advantages to The Habitant Were: They Can Eat What They Growed. Disadvantages To The Habitant Were: They had to pay money to the Seigneur
There are many advantages and disadvantages of having and making a matrix. One advantage is the layout of the information.
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(I-A)-1 is the Leontief inverse matrix of matrix A (nxn; non-singular).
Let A by an nxn non-singular matrix, then A-1 is the inverse of A. Now (A-1 )-1 =A So the answer is yes.
If an identity matrix is the answer to a problem under matrix multiplication, then each of the two matrices is an inverse matrix of the other.
No. A square matrix has an inverse if and only if its determinant is nonzero.
From Wolfram MathWorld: The inverse of a square matrix A, sometimes called a reciprocal matrix, is a matrix A-1 such that AA-1=I where I is the identity matrix.
it is used to find the inverse of the matrix. inverse(A)= (adj A)/ mod det A
If the product of two matrices is an identity matrix then, one matrix is inverse of the other. i.e. AB = I then, A = B-1 and B = A-1Inverse of matrix can be found by using these two results:A = AI and A = IA.By using these results inverse of a matrix can be found by applying same elementary row or column operation on both sides. A on R.H.S. remains as it is.
advantages: You can get to places faster Disadvantages: pollution people die from car crash :) people enslaved in the matrix john conner must die
The fact that the matrix does not have an inverse does not necessarily mean that none of the variables can be found.
That is called an inverse matrix