Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
521996 | Journal of Computational Physics | 2008 | 22 Pages |
Abstract
Traditionally, solving the adjoint equation for unsteady problems involves solving a large, structured linear system. This paper presents a variation on this technique and uses a Monte Carlo linear solver. The Monte Carlo solver yields a forward-time algorithm for solving unsteady adjoint equations. When applied to computing the adjoint associated with Burgers’ equation, the Monte Carlo approach is faster for a large class of problems while preserving sufficient accuracy.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Qiqi Wang, David Gleich, Amin Saberi, Nasrollah Etemadi, Parviz Moin,