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An inner approximation method incorporating with a penalty function method for a reverse convex programming problem - MaRDI portal

An inner approximation method incorporating with a penalty function method for a reverse convex programming problem (Q697546)

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scientific article; zbMATH DE number 1801718
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An inner approximation method incorporating with a penalty function method for a reverse convex programming problem
scientific article; zbMATH DE number 1801718

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    An inner approximation method incorporating with a penalty function method for a reverse convex programming problem (English)
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    17 September 2002
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    The inner approximation algorithm previously proposed by the authors [J. Optimization Theory Appl. 107, No. 2, 355-389 (2000; Zbl 0997.90076)] for solving the reverse convex programming problem is improved. The global convergence of the algorithm is established by underestimating the optimal value of the relaxed problem. Some computational results are presented.
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    global optimization
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    reverse convex programming problem
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    dual problem
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    inner approximation method
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    penalty function method
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    numerical examples
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    global convergence
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