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Remove most of the dynamic memory allocations that occured in D&C SVD. Still remains the calls to JacobiSVD and UpperBidiagonalization.
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@@ -17,7 +17,7 @@
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*
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* These iterative solvers are associated with some preconditioners:
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* - IdentityPreconditioner - not really useful
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* - DiagonalPreconditioner - also called JAcobi preconditioner, work very well on diagonal dominant matrices.
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* - DiagonalPreconditioner - also called Jacobi preconditioner, work very well on diagonal dominant matrices.
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* - IncompleteLUT - incomplete LU factorization with dual thresholding
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*
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* Such problems can also be solved using the direct sparse decomposition modules: SparseCholesky, CholmodSupport, UmfPackSupport, SuperLUSupport.
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