A new and efficient large-update interior-point method for linear optimization (Q2773659)

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scientific article; zbMATH DE number 1710279
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A new and efficient large-update interior-point method for linear optimization
scientific article; zbMATH DE number 1710279

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    24 February 2002
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    primal-dual algorithm
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    updating the barrier parameter
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    polynomial barrier function
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    small-update method
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    A new and efficient large-update interior-point method for linear optimization (English)
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    The authors start with an observation that there is still a gap between the practical behavior of interior-point algorithms for linear optimization problems and the theoretical performance results. The aim of the article is to show that, by slightly modifying the classical primal-dual Newton search direction, the complexity of large-update methods can be improved. The result is an \(O\bigl(\sqrt{n}\log n\log (n/\varepsilon)\bigr)\) iteration bound.
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