We present an efficient implementation ... unitary matrix, eigenvalue, multi-shift QR algorithm ... We consider the eigenvalue problem for a unitary matrix U ∈.

We present an efficient implementation of the multishift Q R algorithm for computing the eigenvalues of a unitary matrix. The algorithm can perform Q R ...

We present an ecient,implementation of the multi-shift QR algorithm for computing the eigenvalues of a unitary matrix. The algorithm can perform QR ...

We present an efficient implementation of the multishift $QR$ algorithm for computing the eigenvalues of a unitary matrix. The algorithm can perform $QR$ ...

May 26, 2020 · Roden J. A. David, David S. Watkins: Efficient Implementation of the Multishift QR Algorithm for the Unitary Eigenvalue Problem.

Oct 30, 2020 · Watkins. "Efficient implementation of the multishift QR algorithm for the unitary eigenvalue problem." SIAM journal on matrix analysis and ...

We present an efficient implementation of the multishift $QR$ algorithm for computing the eigenvalues of a unitary matrix. The algorithm can perform $QR$ ...

Watkins. Efficient implementation of the multishift QR algorithm for the unitary eigenvalue problem. SIAM Journal on Matrix Analysis and Applications, 28 ...

Abstract. This paper presents a small-bulge multishift variation of the multishift QR algorithm that avoids the phenomenon of shift blurring, which retards ...

The multishift QR algorithm is efficient for computing all the eigenvalues of a dense, large-scale, non-Hermitian matrix. The major part of this algorithm ...