The Higham matrix is a complex symmetric matrix A=B+iC, where both B and C are real, symmetric and positive definite and $\mathrm{i}=\sqrt{-1}$ is the imaginary unit. For any Higham matrix A, Ikramov et al. showed that the growth factor in Gaussian elimination is less than 3. In this paper, based on the previous results, a new bound of the growth factor is obtained by using the maximum of the condition numbers of matrixes B and C for the generalized Higham matrix A, which strengthens this bound to 2 and proves the Higham's conjecture
Several de¯nitions of growth factors for Gaussian elimination are compared. Some new piv- oting stra...
RésuméLet A ϵ R, and let ‖A‖p =def sup&{‖Ax‖p‖x‖p} be the Höp-norm as induced for a matrix. Given λ ...
AbstractWe consider Gaussian elimination without pivoting applied to complex Gaussian matrices X∈Cn×...
The Higham matrix is a complex symmetric matrix A=B+iC, where both B and C are real, symmetric and p...
The Higham matrix is a complex symmetric matrix A=B+iC, where both B and C are real, symmetric and p...
The Higham matrix is a complex symmetric matrix A=B+iC, where both B and C are real, symmetric and p...
The generalized Higham matrix is a complex symmetric matrix A=B+iC, where both B and C are Hermitian...
The generalized Higham matrix is a complex symmetric matrix A = B + iC, where both B ∈ Cn×n and C ∈ ...
The growth factor plays an important role in the error analysis of Gaussian elimination. It is well ...
Abstract Let A be any matrix and let A be a slight random perturbation of A. We prove that it is unl...
AbstractThis note shows that we may adapt the work of J. H. Wilkinson to obtain an upper bound on th...
Abstract. The growth factor plays an important role in the error analysis of Gaussian elimination. I...
Abstract. It has been conjectured that when Gaussian elimination with complete pivoting is applied t...
AbstractWe consider the values for large minors of a skew-Hadamard matrix or conference matrix W of ...
AbstractSeveral definitions of growth factors for Gaussian elimination are compared. Some new pivoti...
Several de¯nitions of growth factors for Gaussian elimination are compared. Some new piv- oting stra...
RésuméLet A ϵ R, and let ‖A‖p =def sup&{‖Ax‖p‖x‖p} be the Höp-norm as induced for a matrix. Given λ ...
AbstractWe consider Gaussian elimination without pivoting applied to complex Gaussian matrices X∈Cn×...
The Higham matrix is a complex symmetric matrix A=B+iC, where both B and C are real, symmetric and p...
The Higham matrix is a complex symmetric matrix A=B+iC, where both B and C are real, symmetric and p...
The Higham matrix is a complex symmetric matrix A=B+iC, where both B and C are real, symmetric and p...
The generalized Higham matrix is a complex symmetric matrix A=B+iC, where both B and C are Hermitian...
The generalized Higham matrix is a complex symmetric matrix A = B + iC, where both B ∈ Cn×n and C ∈ ...
The growth factor plays an important role in the error analysis of Gaussian elimination. It is well ...
Abstract Let A be any matrix and let A be a slight random perturbation of A. We prove that it is unl...
AbstractThis note shows that we may adapt the work of J. H. Wilkinson to obtain an upper bound on th...
Abstract. The growth factor plays an important role in the error analysis of Gaussian elimination. I...
Abstract. It has been conjectured that when Gaussian elimination with complete pivoting is applied t...
AbstractWe consider the values for large minors of a skew-Hadamard matrix or conference matrix W of ...
AbstractSeveral definitions of growth factors for Gaussian elimination are compared. Some new pivoti...
Several de¯nitions of growth factors for Gaussian elimination are compared. Some new piv- oting stra...
RésuméLet A ϵ R, and let ‖A‖p =def sup&{‖Ax‖p‖x‖p} be the Höp-norm as induced for a matrix. Given λ ...
AbstractWe consider Gaussian elimination without pivoting applied to complex Gaussian matrices X∈Cn×...