I have a question about Eigen library in C++. Actually, I want to calculate inverse matrix of sparse matrix. When I used Dense matrix in Eigen, I can use .inverse() operation to calculate inverse of dense matrix. But in Sparse matrix, I cannot find inverse operation anywhere. Does anyone who know to calculate inverse of sparse matrix? help me.
linear algebra - Inverse of sparse matrix is not generally sparse - Mathematics Stack Exchange.
The matrix which has a greater number of zero values in comparison to the non-zero values is known as a sparse matrix. In the above example we have 4 X 4 matrix where only 5 values are non-zero and rest of the value are zero. Total space taken by 4 X 4 matrix is 4 X 4 X 2 = 32 bytes.
C++ProgrammingServer Side Programming. A sparse matrix is a matrix in which majority of the elements are 0. An example for this is given as follows. The matrix given below contains 5 zeroes. Since the number of zeroes is more than half the elements of the matrix, it is a sparse matrix.
You cannot do it directly, but you can always calculate it, using one of the sparse solvers. The idea is to solve A*X=I
, where I is the identity matrix. If there is a solution, X will be your inverse matrix.
The eigen documentation has a page about sparse solvers and how to use them, but the basic steps are as follows:
SolverClassName<SparseMatrix<double> > solver;
solver.compute(A);
SparseMatrix<double> I(n,n);
I.setIdentity();
auto A_inv = solver.solve(I);
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