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Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications - MaRDI portal

Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications (Q1736388)

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scientific article; zbMATH DE number 7042033
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English
Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications
scientific article; zbMATH DE number 7042033

    Statements

    Infeasible interior-point algorithms based on sampling average approximations for a class of stochastic complementarity problems and their applications (English)
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    26 March 2019
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    nonlinear programming
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    stochastic complementarity problem
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    sample average approximation
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    infeasible interior-point algorithm
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    natural gas transmission and oligopoly models
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