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.
About one Monte Carlo method for solving linear equations
โ Scribed by Y.R. Rubinstein; J. Kreimer
- Publisher
- Elsevier Science
- Year
- 1983
- Tongue
- English
- Weight
- 681 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0378-4754
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โฆ Synopsis
A Monte Carlo Method for solving linear and integral equations based on simulating one realization of an ergodic Markov chain is proposed. The efficiency of the proposed method is discussed.
' The Markov chain need not be homogeneous;
we are considering the homogeneous case for simplicity only.
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