A backward error analysis of a null space algorithm in sparse quadratic programming (Q2784355)

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scientific article; zbMATH DE number 1732249
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A backward error analysis of a null space algorithm in sparse quadratic programming
scientific article; zbMATH DE number 1732249

    Statements

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    23 April 2002
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    augmented systems
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    sparse matrices
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    Gaussian factorization
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    backward stability
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    numerical examples
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    roundoff error analysis
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    null space method
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    quadratic programming
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    pivoting LU factorization
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    algorithm
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    electrical networks
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    A backward error analysis of a null space algorithm in sparse quadratic programming (English)
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    A detailed roundoff error analysis of a null space method for solving the augmented system resulted from quadratic programming problems is presented. The null space method combines the use of a pivoting LU factorization of the constraints with an iterative solver on the corresponding null space. The results show that the null space algorithm is backward stable and has good applicability in the sparse case. An interesting example resulted from the modeling of electrical networks is presented.
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