Krylov type subspace methods for matrix polynomials (Q2368740)
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| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Krylov type subspace methods for matrix polynomials |
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Krylov type subspace methods for matrix polynomials (English)
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28 April 2006
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The authors develop and analyze Arnoldi and Lanczos type methods for model reduction problems associated with quadratic matrix polynomials \( \lambda^2 I - \lambda A - B\), where \(A\) and \(B\) are sparse large matrices. The methods are Krylov type projection methods that generate quadratic matrix polynomials with coefficient matrices of much smaller size. Applications include second order linear input-output systems.
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quadratic matrix polynomials
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model reduction
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Krylov type projection methods
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linear input-output systems
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quadratic eigenvalue problem
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sparse large matrices
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Krylov subspace method
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Arnoldi method
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Lanczos method
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