This paper describes a method of obtaining all or a dominant subset of the eigenvalues and corresponding left and right-hand eigenvectors of unsymmetric matrices by simul-taneous iteration. The method differs from Bauer's bi-iteration in that re-orientation of the trial vectors is achieved at each iteration by performing an "interaction analysis". 1
AbstractBased on a multipoint approximation of polynomial values, we accelerate the bisection and di...
The asymptotic iteration method is a technique for solving analytically and approximately the linear...
Dedicated to Gene Golub on the occasion of his 75th birthday Abstract. For most unsymmetric matrices...
This paper discusses the design and development of a code to calculate the eigenvalues of a large sp...
Many fields make use of the concepts about eigenvalues in their studies. In engineering, physics, st...
Arnoldi methods can be more effective than subspace iteration methods for computing the dominant elg...
A simultaneous iteration scheme of Andrew is analysed and extended, and developed into an effective ...
Computing selected eigenvalues of sparse unsymmetric matrices using subspace iteration b
The asymptotic iteration method is a technique for solving analytically and approximately the linear...
summary:We propose a new type of multilevel method for solving eigenvalue problems based on Newton's...
summary:We propose a new type of multilevel method for solving eigenvalue problems based on Newton's...
The asymptotic iteration method is a technique for solving analytically and approximately the linear...
© 2014 Society for Industrial and Applied Mathematics. Consider a symmetric matrix A(v) ∈ ℝnxn depen...
summary:We propose a new type of multilevel method for solving eigenvalue problems based on Newton's...
[[abstract]]The paper presents two numerical methods for computing the derivatives of eigenvalues an...
AbstractBased on a multipoint approximation of polynomial values, we accelerate the bisection and di...
The asymptotic iteration method is a technique for solving analytically and approximately the linear...
Dedicated to Gene Golub on the occasion of his 75th birthday Abstract. For most unsymmetric matrices...
This paper discusses the design and development of a code to calculate the eigenvalues of a large sp...
Many fields make use of the concepts about eigenvalues in their studies. In engineering, physics, st...
Arnoldi methods can be more effective than subspace iteration methods for computing the dominant elg...
A simultaneous iteration scheme of Andrew is analysed and extended, and developed into an effective ...
Computing selected eigenvalues of sparse unsymmetric matrices using subspace iteration b
The asymptotic iteration method is a technique for solving analytically and approximately the linear...
summary:We propose a new type of multilevel method for solving eigenvalue problems based on Newton's...
summary:We propose a new type of multilevel method for solving eigenvalue problems based on Newton's...
The asymptotic iteration method is a technique for solving analytically and approximately the linear...
© 2014 Society for Industrial and Applied Mathematics. Consider a symmetric matrix A(v) ∈ ℝnxn depen...
summary:We propose a new type of multilevel method for solving eigenvalue problems based on Newton's...
[[abstract]]The paper presents two numerical methods for computing the derivatives of eigenvalues an...
AbstractBased on a multipoint approximation of polynomial values, we accelerate the bisection and di...
The asymptotic iteration method is a technique for solving analytically and approximately the linear...
Dedicated to Gene Golub on the occasion of his 75th birthday Abstract. For most unsymmetric matrices...