Parallel Newton-Krylov Solver for the Euler Equations Discretized Using Simultaneous-Approximation Terms

By Jason E. Hicken, David W. Zingg. 2008

181 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Electrical and Electronic Engineering, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/bd7b2b3e068c049ca79903edf9eea66551f202de

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Hugo Gagnon
2. Xiaocong Han
3. O. Chernukhin
4. David W. Zingg

In Electrical and Electronic Engineering

1. Hugo Gagnon
2. Xiaocong Han
3. O. Chernukhin
4. David W. Zingg

In Hardware and Architecture

1. Hugo Gagnon
2. Xiaocong Han
3. O. Chernukhin
4. David W. Zingg

Citations in the corpus

• Multimodality and Global Optimization in Aerodynamic Design (2013, methodology): “D algorithm the algebraic mesh movement algorithm of Nemec andZingg [1] is used.”
• Two-Level Free-Form and Axial Deformation for Exploratory Aerodynamic Shape Optimization (2015, methodology): “(11) is converged using Newton’s method, where at each iteration a system of linear equations is solved inexactly by a parallel Schur-preconditioned Jacobian-free Krylov iterative method [53].”
• An adaptive geometry parametrization for aerodynamic shape optimization (2014, methodology): “In the three-dimensional optimization code, a parallel Newton-Krylov-Schur Euler solver developed by Hicken and Zingg (2008) is used.”