Mathematical programming techniques to solve biharmonic problems by a recursive projection algorithm (Q2641093)
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| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Mathematical programming techniques to solve biharmonic problems by a recursive projection algorithm |
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Mathematical programming techniques to solve biharmonic problems by a recursive projection algorithm (English)
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1990
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The biharmonic equation \(\Delta^ 2u=0\) is considered on a star-shaped domain \(\Omega\) in the plane, with \(u=f\) and \(\partial_ nu=g\) prescribed on the boundary \(\partial \Omega\). The numerical method consists of global approximation by biharmonic polynomials. A finite number of points \(\theta_ j\) is selected on \(\partial \Omega\), and a recursive projection algorithm is used to minimize the sum \(\sum_{j}\{| u(\theta_ j)-f(\theta_ j)|^ 2+| \partial_ nu(\theta_ j)-g(\theta_ j)|^ 2+| \partial_ tu(\theta_ j)-\partial_ tf(\theta_ j)|^ 2\}.\) Here, \(\partial_ n\) denotes the normal derivative on \(\partial \Omega\), and \(\partial_ t\) the tangential derivative. Computations are presented with varying numbers of basis elements and evaluation points \(\theta_ j\).
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ill-conditioned problem
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a priori estimates
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a posteriori estimates
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linear programming
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least squares
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numerical comparisons
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Cauchy problem
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ill-posed problem
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biharmonic equation
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star-shaped domain
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global approximation by biharmonic polynomials
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recursive projection algorithm
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