AbstractIn this paper, we propose the two-sided hyperbolic SVD (2HSVD) for square matrices, i.e., A=UΣV[∗], where U and V[∗] are J-unitary (J=diag(±1)) and Σ is a real diagonal matrix of “double-hyperbolic” singular values. We show that, with some natural conditions, such decomposition exists without the use of hyperexchange matrices. In other words, U and V[∗] are really J-unitary with regard to J and not some matrix J^ which is permutationally similar to matrix J. We provide full characterization of 2HSVD and completely relate it to the semidefinite J-polar decomposition
AbstractIf H1 is an n × n and H2 an m × m invertible Hermitian matrix and X and Y are arbitrary comp...
The paper considers the singular value decomposition (SVD) of a general matrix. Some immediate appli...
AbstractLet G be a m×n real matrix with full column rank and let J be a n×n diagonal matrix of signs...
AbstractIn this paper, we propose the two-sided hyperbolic SVD (2HSVD) for square matrices, i.e., A=...
We propose a new decomposition of hyperbolic block-unitary matrices into a product of a hyperbolic b...
AbstractIn this note, we present a new matrix decomposition for a matrix pair (A, B) with A Hermitia...
AbstractIn this paper, we introduce a joint hyperbolic-orthogonal decomposition of two matrices whic...
AbstractThe hyperbolic singular value decomposition is defined on a general n × m matrix and an m × ...
AbstractThe hyperbolic eigenvector matrix is a matrix X which simultaneously diagonalizes the pair (...
AbstractIn this paper, we describe unified formulas for unitary and hyperbolic reflections and rotat...
AbstractWe obtain the singular value decomposition of multi-companion matrices. We completely charac...
AbstractA procedure is presented for constructing the hyperbolic singular value decomposition of a m...
AbstractWe consider the following problem: Given a set of m×n real (or complex) matrices A1,…,AN, fi...
AbstractMotivated by applications in the theory of unitary congruence, we introduce the factorizatio...
AbstractThe paper describes a way how one-sided Jacobi-type algorithm of Veselić for computing the h...
AbstractIf H1 is an n × n and H2 an m × m invertible Hermitian matrix and X and Y are arbitrary comp...
The paper considers the singular value decomposition (SVD) of a general matrix. Some immediate appli...
AbstractLet G be a m×n real matrix with full column rank and let J be a n×n diagonal matrix of signs...
AbstractIn this paper, we propose the two-sided hyperbolic SVD (2HSVD) for square matrices, i.e., A=...
We propose a new decomposition of hyperbolic block-unitary matrices into a product of a hyperbolic b...
AbstractIn this note, we present a new matrix decomposition for a matrix pair (A, B) with A Hermitia...
AbstractIn this paper, we introduce a joint hyperbolic-orthogonal decomposition of two matrices whic...
AbstractThe hyperbolic singular value decomposition is defined on a general n × m matrix and an m × ...
AbstractThe hyperbolic eigenvector matrix is a matrix X which simultaneously diagonalizes the pair (...
AbstractIn this paper, we describe unified formulas for unitary and hyperbolic reflections and rotat...
AbstractWe obtain the singular value decomposition of multi-companion matrices. We completely charac...
AbstractA procedure is presented for constructing the hyperbolic singular value decomposition of a m...
AbstractWe consider the following problem: Given a set of m×n real (or complex) matrices A1,…,AN, fi...
AbstractMotivated by applications in the theory of unitary congruence, we introduce the factorizatio...
AbstractThe paper describes a way how one-sided Jacobi-type algorithm of Veselić for computing the h...
AbstractIf H1 is an n × n and H2 an m × m invertible Hermitian matrix and X and Y are arbitrary comp...
The paper considers the singular value decomposition (SVD) of a general matrix. Some immediate appli...
AbstractLet G be a m×n real matrix with full column rank and let J be a n×n diagonal matrix of signs...