✦ LIBER ✦

Jacobian-free Newton–Krylov methods: a survey of approaches and applications

✍ Scribed by D.A. Knoll; D.E. Keyes

Book ID: 108163846
Publisher: Elsevier Science
Year: 2004
Tongue: English
Weight: 337 KB
Volume: 193
Category: Article
ISSN: 0021-9991
DOI: 10.1016/j.jcp.2003.08.010

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Application of Jacobian-free Newton–Kryl

Application of Jacobian-free Newton–Krylov with physics-based preconditioning to biogeochemical transport

✍ G.E. Hammond; A.J. Valocchi; P.C. Lichtner 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 380 KB

Jacobian-free newton-krylov methods for

Jacobian-free newton-krylov methods for the accurate time integration of stiff wave systems

✍ D. A. Knoll; V. A. Mousseau; L. Chacón; J. Reisner 📂 Article 📅 2005 🏛 Springer US 🌐 English ⚖ 845 KB

Jacobian–Free Newton–Krylov Methods for

Jacobian–Free Newton–Krylov Methods for the Accurate Time Integration of Stiff Wave Systems

✍ D. A. Knoll; V. A. Mousseau; L. Chacón; J. Reisner 📂 Article 📅 2005 🏛 Springer US 🌐 English ⚖ 149 KB

On finite difference approximation of a

On finite difference approximation of a matrix-vector product in the Jacobian-free Newton–Krylov method

✍ Heng-Bin An; Ju Wen; Tao Feng 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 433 KB

The application of Jacobian-free Newton–

The application of Jacobian-free Newton–Krylov methods to reduce the spin-up time of ocean general circulation models

✍ Erik Bernsen; Henk A. Dijkstra; Jonas Thies; Fred W. Wubs 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 597 KB

Improving the numerical convergence of v

Improving the numerical convergence of viscous-plastic sea ice models with the Jacobian-free Newton–Krylov method

✍ Jean-François Lemieux; Bruno Tremblay; Jan Sedláček; Paul Tupper; Stephen Thomas 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 834 KB

We have implemented the Jacobian-free Newton-Krylov (JFNK) method to solve the sea ice momentum equation with a viscous-plastic (VP) formulation. The JFNK method has many advantages: the system matrix (the Jacobian) does not need to be formed and stored, the method is parallelizable and the converge