✦ LIBER ✦

Exponentially convergent parallel algorithm for nonlinear eigenvalue problems

✍ Scribed by Gavrilyuk, I. P.; Klimenko, A. V.; Makarov, V. L.; Rossokhata, N. O.

Book ID: 115490521
Publisher: Oxford University Press
Year: 2007
Tongue: English
Weight: 849 KB
Volume: 27
Category: Article
ISSN: 0272-4979
DOI: 10.1093/imanum/drl042

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A parallel continuation algorithm for no

A parallel continuation algorithm for nonlinear eigenvalue problems

✍ M.-J. Chen; T.-Z. Chen; C.-S. Chien; M.-S. Yu 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 1023 KB

A quadratically-convergent algorithm for

A quadratically-convergent algorithm for general nonlinear programming problems

✍ Stephen M. Robinson 📂 Article 📅 1972 🏛 Springer-Verlag 🌐 English ⚖ 458 KB

The Rational Krylov Algorithm for Nonlin

The Rational Krylov Algorithm for Nonlinear Matrix Eigenvalue Problems

✍ A. Ruhe 📂 Article 📅 2003 🏛 Springer US 🌐 English ⚖ 222 KB

Convergence factors of Newton methods fo

Convergence factors of Newton methods for nonlinear eigenvalue problems

✍ Elias Jarlebring 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 264 KB

Local and Parallel Finite Element Algori

Local and Parallel Finite Element Algorithms for Eigenvalue Problems

✍ Jinchao Xu*; Aihui Zhou** 📂 Article 📅 2002 🏛 Institute of Applied Mathematics, Chinese Academy 🌐 English ⚖ 210 KB

A parallel QR algorithm for the nonsymme

A parallel QR algorithm for the nonsymmetric eigenvalue problem

✍ Daniel Boley; Robert Maier; Joung Kim 📂 Article 📅 1989 🏛 Elsevier Science 🌐 English ⚖ 973 KB

This paper describes a prototype parallel algorithm for approximating eigenvalues of a dense nonsymmetric matrix on a linear, synchronous processor array. The algorithm is a parallel implementation of the explicitly-shifted QR, employing n distributed-memory processors to deliver all eigenvalues in