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-rw-r--r--academic/ldl/README13
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LDL is a set of concise routines for factorizing symmetric
positive-definite sparse matrices, with some applicability to symmetric
-indefinite matrices. Its primary purpose is to illustrate much of the
-basic theory of sparse matrix algorithms in as concise a code as possible,
-including an elegant new method of sparse symmetric factorization that
-computes the factorization row-by-row but stores it column-by-column.
+indefinite matrices. Its primary purpose is to illustrate much of
+the basic theory of sparse matrix algorithms in as concise a code
+as possible, including an elegant new method of sparse symmetric
+factorization that computes the factorization row-by-row but stores it
+column-by-column.
This package is part of SuiteSparse.
-AMD is an optional dependency and will be used if found.
-It is primarily used for this package's test suite.
+AMD is an optional dependency and will be used if found. It is
+primarily used for this package's test suite.