Linear programming in measure spaces

作者: H.C. Lai , S.Y. Wu

DOI: 10.1080/02331939408843943

关键词:

摘要: This paper studies a linear programming problem in measure spaces (LPM). Several results are obtained. First, the optimal value of LPM can be equal to dual (DLPM), but solution DLPM may not exist its feasible region. Sccond, :he relations between and extreme point region discussed. In order investigate conditions under which becomes an extremal point, inequality constraint is transformed equality constraint. Third, reformulated general capacity (GCAP) or semi-infinite (LSIP = SIP), appropriate restrictioiis, algorithm developed by authors [7] [8] applicable for developing approximation scheme

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