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Semi-infinite programming

In optimization theory, semi-infinite programming (SIP) is an optimization problem with a finite number of variables and an infinite number of constraints, or an infinite number of variables and a finite number of constraints. In the former case the constraints are typically parameterized.

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Mathematical formulation of the problem

Bilevel programs
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Overview

Optimization theoryOptimization problem
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Mathematical formulation of the problem

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Semi-infinite programming

Nodes6
Edges5
Triples7
Avg. degree1.67
Density0.333333
Components1

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Semi-infinite programming

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related to External links · 5
Semi-infinite programming → Description, INFORMS, Institute, Management Science, Operations Research
see also · 2
Semi-infinite programming → GSIP, OptimizationGeneralized

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problem constraints see external links optimization semi-infinite programming sip variables case meantime complete tutorial theory finite number infinite former typically

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SubjectPredicateObjectConfidenceSrc
Semi-infinite programmingrelated to External linksDescription0.60section
Semi-infinite programmingrelated to External linksINFORMS0.60section
Semi-infinite programmingrelated to External linksInstitute0.60section
Semi-infinite programmingrelated to External linksOperations Research0.60section
Semi-infinite programmingrelated to External linksManagement Science0.60section
Semi-infinite programmingsee alsoOptimizationGeneralized0.60section
Semi-infinite programmingsee alsoGSIP0.60section

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