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Mixed complementarity problem

From Wikipedia, the free encyclopedia

Mixed Complementarity Problem (MCP) is a problem formulation in mathematical programming. Many well-known problem types are special cases of, or may be reduced to MCP. It is a generalization of nonlinear complementarity problem (NCP).

Definition

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The mixed complementarity problem is defined by a mapping , lower values and upper values .

The solution of the MCP is a vector such that for each index one of the following alternatives holds:

  • ;
  • ;
  • .

Another definition for MCP is: it is a variational inequality on the parallelepiped .

See also

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References

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  • Stephen C. Billups (1995). [https:/ftp.cs.wisc.edu/math-prog/tech-reports/95-14.ps "Algorithms for complementarity problems and generalized equations"] (PS). Retrieved 2006-08-14. {{cite web}}: Check |url= value (help)
  • Francisco Facchinei, Jong-Shi Pang (2003). Finite-Dimensional Variational Inequalities and Complementarity Problems, Volume I.