The following pages link to (Q3219020):
Displaying 20 items.
- Projected nonsymmetric algebraic Riccati equations and refining estimates of invariant and deflating subspaces (Q729850) (← links)
- Convergence of the Newton-Kantorovich method for calculating invariant subspaces (Q869782) (← links)
- Small-sample statistical condition estimation of large-scale generalized eigenvalue problems (Q908367) (← links)
- A note on refining eigenelements of symmetric matrices (Q919742) (← links)
- Three methods for refining estimates of invariant subspaces (Q1082035) (← links)
- Applications of Newton's method to some numerical problems in matrix theory (Q1094819) (← links)
- A refinement method for maximal deflating bases of regular pencils (Q1330474) (← links)
- On conjugate gradient-like methods for eigen-like problems (Q1923871) (← links)
- Arnoldi-Riccati method for large eigenvalue problems (Q1923879) (← links)
- Newton-type methods for simultaneous matrix diagonalization (Q2089086) (← links)
- Block Newton method and block Rayleigh quotient iteration for computing invariant subspaces of general complex matrices (Q2397088) (← links)
- Refining estimates of invariant and deflating subspaces for large and sparse matrices and pencils (Q2450893) (← links)
- Iterative refinement of Schur decompositions (Q2679661) (← links)
- Revisiting the (block) Jacobi subspace rotation method for the symmetric eigenvalue problem (Q2679692) (← links)
- Projection methods for large-scale T-Sylvester equations (Q2814446) (← links)
- Inverse, Shifted Inverse, and Rayleigh Quotient Iteration as Newton's Method (Q3133142) (← links)
- (Q3677063) (← links)
- A Note on the Newoton Iteration for the Algebraic Eigenvalue Problem (Q3811589) (← links)
- A refinement of approximate invariant subspaces of matrices based on SVD in high dimensionality reduction and image compression (Q6619691) (← links)
- Gradient-type subspace iteration methods for the symmetric eigenvalue problem (Q6659698) (← links)
