consider the inverse spectrum problem for nonnegative matrices. In particular, we derive sufficient conditions for the existence of nonnegative and positive generalized stochastic and generalized doubly stochastic matrices with complex and real prescribed spectrum.
Generalized Bezoutian and the inversion problem for block matrices, I. General scheme
✍ Scribed by L. Lerer; M. Tismenetsky
- Publisher
- SP Birkhäuser Verlag Basel
- Year
- 1986
- Tongue
- English
- Weight
- 971 KB
- Volume
- 9
- Category
- Article
- ISSN
- 0378-620X
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
We investigate the use of sparse approximate inverse techniques in a multilevel block ILU preconditioner to design a robust and efficient parallelizable preconditioner for solving general sparse matrices. The resulting preconditioner retains robustness of the multilevel block ILU preconditioner (BIL
Let n × n complex matrices R and S be nontrivial generalized reflection matrices, i.e.
In this paper, we first give the existence of and the general expression for the solution to an inverse eigenproblem defined as follows: given a set of real n-vectors {x i } m i=1 and a set of real numbers {λ i } m i=1 , and an n-by-n real generalized reflexive matrix A (or generalized antireflexive