SVD_SMALLEST#
The solver is configured to compute smallest singular values.
Note#
Computing small singular values is generally more difficult than computing largest ones, because in many cases these values are very small and tightly clustered together. In the case of rank-deficient matrices, smallest singular values are zero, and this may pose difficulties to the solvers.
See Also#
SVD: Singular Value Decomposition, SVDWhich, SVDSetWhichSingularTriplets(), SVD_LARGEST
Level#
intermediate
Location#
Examples#
src/svd/tutorials/ex8.c
src/svd/tests/test1.c
src/svd/tests/test11.c
src/svd/tests/test12.c
src/svd/tests/test6.c
src/svd/tests/test7.c
Index of all SVD routines Table of Contents for all manual pages Index of all manual pages