In this contribution, we extend a projection method for square matrices to the singular non-square case. Eigensolvers involving complex moments for linear square matrix eigenproblems are paid much attention in the eigencomputation due to its coarse-grained parallelizability.
<coherence> In this contribution, we extend a projection method for square matrices to the singular non-square case. Eigensolvers involving complex moments for linear square matrix eigenproblems are paid much attention in the eigencomputation due to its coarse-grained parallelizability.
For linear square matrix eigenproblems are paid much attention in the eigencomputation due to its coarse-grained parallelizability.