Pages that link to "Item:Q2027787"

The following pages link to Newton's method for the parameterized generalized eigenvalue problem with nonsquare matrix pencils (Q2027787):

Displaying 9 items.

• A block Newton's method for computing invariant pairs of nonlinear matrix pencils (Q1741999) (← links)
• A Riemannian optimization approach for solving the generalized eigenvalue problem for nonsquare matrix pencils (Q2177925) (← links)
• A Newton-type method with nonequivalence deflation for nonlinear eigenvalue problems arising in photonic crystal modeling (Q2797075) (← links)
• Verified computation of eigenpairs in the generalized eigenvalue problem for nonsquare matrix pencils (Q3307861) (← links)
• The parametric least squares technique for λ-non-linear eigenvalue problems (Q4208126) (← links)
• A trust‐region method for the parameterized generalized eigenvalue problem with nonsquare matrix pencils (Q4959591) (← links)
• Least-Squares Spectral Methods for ODE Eigenvalue Problems (Q5043370) (← links)
• An efficient algorithm for solving a class of matrix optimization problem in scalable probabilistic approximation (Q6624116) (← links)
• A Riemannian conjugate gradient approach for solving the generalized eigenvalue problem with minimal perturbation (Q6665174) (← links)