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math.NA2026
Dimension-independent eigenvalue approximation for sparse matrices
Natalia Hajlasz, Christopher Musco, Jonathan Weare +1
Many applications in science and engineering require solving sparse Hermitian eigenvalue problems that are so large that even algorithms whose runtime scales linearly with the matr…
math.NA2023
Randomly sparsified Richardson iteration: A dimension-independent sparse linear solver
Jonathan Weare, Robert J. Webber
Recently, a class of algorithms combining classical fixed point iterations with repeated random sparsification of approximate solution vectors has been successfully applied to eige…