Optimal maximization and approximation algorithms for approximately calculated functions of many variables (Q1608245)

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scientific article; zbMATH DE number 1779280
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Optimal maximization and approximation algorithms for approximately calculated functions of many variables
scientific article; zbMATH DE number 1779280

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    Optimal maximization and approximation algorithms for approximately calculated functions of many variables (English)
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    12 August 2002
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    The paper is devoted to an efficient approach to multidimensional problems in numerical analysis: to transform the domain on which a problem is defined so as to reduce the dimension of the problem. A multidimensional domain may be mapped to a one-dimensional one by invoking the Peano mapping. In this paper, the theoretical properties of the Peano mapping are analyzed together with both dimension-reducing methods as applied to maximization and approximation problems for approximately calculated Lipschitz functions of many variables.
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    maximization problem
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    optimal algorithms
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    dimension-reducing methods
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    Peano mapping
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