Krylov-Schur Implementation Test#1
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The targets file links to the Eigen3::Eigen target so we must include here instead of the client side
Applies Krylov Schur algorithm for non-Hermitian matrices. Computes eigenvalues and eigenvectors for the generalized eigen problem.
- derived KrylovSchurSolverBase from SymEigsBase to reuse existing code - derived KrylovSchur from Arnoldi to reuse existing code - deleted SparseRegularInverseLU - extended SparseRegularInverse to make all solvers in Eigen available to use - KrylovSchur test minimalized to use system matrices out of a regular Finite Element beam model (matrix_A and matrix_B file) - added more documentation
some minor review corrections
CMake: include Eigen targets
uses marketmatrix file import instead of binary sparse matrix import
…nto krylov-schur
Eigen::Vector changed to Eigen::Matrix
compatible with Eigen < 3.4
…nto krylovschur
- SparseRegularInverse::Solver::compute function corrected - KrylovSchur test file path correction
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internal test request