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https://github.com/harusametime/rif

Robust Incomplete Factorization
https://github.com/harusametime/rif

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Robust Incomplete Factorization

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# Robust Incomplete Factorization

Robust Incomplete Factorization (RIF) is known as a method for generating a preconditioner for a linear system *Ax = b*. RIF outputs matrices *L* and *Z* that hold:


*L^T* is the transposed Cholesky factor of *C* and *Z* is the inverse matrix.

Jennifer Scott and Miroslav Tuma:
Preconditioning of Linear Least Squares by Robust Incomplete Factorization for Implicitly Held Normal Equations
SIAM J. Sci. Comput., 38(6), C603-C623 (2016)
Read More: http://epubs.siam.org/doi/abs/10.1137/16M105890X?journalCode=sjoce3

# Source codes

- RIF.py
Left-looking Gram-Schmidt process for robust incomplete factorization

- RIFimply.py (Incomplete)
Left-looking RIF algorithm for LS with C = A^T A held implicitly