The domain decomposition techniques for the finite element probability computational methods (Q2721929)
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scientific article; zbMATH DE number 1616970
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | The domain decomposition techniques for the finite element probability computational methods |
scientific article; zbMATH DE number 1616970 |
Statements
11 July 2001
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finite element
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parallel computation
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transition probability matrix
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probability computational method
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domain decomposition methods
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numerical examples
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The domain decomposition techniques for the finite element probability computational methods (English)
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If the Dirichlet problem for an elliptic partial differential equation is discretized in such a way that its coefficient matrix has all its non-zero off-diagonal entries less than zero, and all row sums equal to zero, then the coefficient matrix can be regarded as a transition probability matrix. This matrix can be used to define random variables whose expected values recover the solution to the original Dirichlet problem, and a numerical method based on computing the expected values is here termed ``the probability computational method''. NEWLINENEWLINENEWLINEThe author notes that the time required to effect the probability computational method depends on the distance of interior points to the boundary. Thus, domain decomposition methods promise the possibility of acceleration as well as implementation on parallel computers. A numerical example is presented.
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