Title:
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Complexity of primal-dual interior-point algorithm for linear programming based on a new class of kernel functions (English) |
Author:
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Guerdouh, Safa |
Author:
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Chikouche, Wided |
Author:
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Touil, Imene |
Author:
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Yassine, Adnan |
Language:
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English |
Journal:
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Kybernetika |
ISSN:
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0023-5954 (print) |
ISSN:
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1805-949X (online) |
Volume:
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59 |
Issue:
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6 |
Year:
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2023 |
Pages:
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827-860 |
Summary lang:
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English |
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Category:
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math |
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Summary:
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In this paper, we first present a polynomial-time primal-dual interior-point method (IPM) for solving linear programming (LP) problems, based on a new kernel function (KF) with a hyperbolic-logarithmic barrier term. To improve the iteration bound, we propose a parameterized version of this function. We show that the complexity result meets the currently best iteration bound for large-update methods by choosing a special value of the parameter. Numerical experiments reveal that the new KFs have better results comparing with the existing KFs including $\log t$ in their barrier term. To the best of our knowledge, this is the first IPM based on a parameterized hyperbolic-logarithmic KF. Moreover, it contains the first hyperbolic-logarithmic KF (Touil and Chikouche in Filomat 34:3957-3969, 2020) as a special case up to a multiplicative constant, and improves significantly both its theoretical and practical results. (English) |
Keyword:
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linear programming |
Keyword:
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primal-dual interior-point methods |
Keyword:
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kernel function |
Keyword:
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complexity analysis |
Keyword:
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large and small-update methods |
MSC:
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90C05 |
MSC:
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90C51 |
idZBL:
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Zbl 07830567 |
idMR:
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MR4712965 |
DOI:
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10.14736/kyb-2023-6-0827 |
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Date available:
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2024-02-26T11:09:50Z |
Last updated:
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2024-08-02 |
Stable URL:
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http://hdl.handle.net/10338.dmlcz/152260 |
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Reference:
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