Mixed complementarity problem

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

The mixed complementarity problem is defined by a mapping $F(x):\mathbb {R} ^{n}\to \mathbb {R} ^{n}$, lower values $\ell _{i}\in \mathbb {R} \cup \{-\infty \}$ and upper values $u_{i}\in \mathbb {R} \cup \{\infty \}$.

The solution of the MCP is a vector $x\in \mathbb {R} ^{n}$ such that for each index $i\in \{1,\ldots ,n\}$ one of the following alternatives holds:

• $x_{i}=\ell _{i},\;F_{i}(x)\geq 0$;
• $\ell _{i}<x_{i}<u_{i},\;F_{i}(x)=0$;
• $x_{i}=u_{i},\;F_{i}(x)\leq 0$.

Another definition for MCP is: it is a variational inequality on the parallelepiped $[\ell ,u]$.

See also

• Complementarity theory

References

• 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 journal}}: Check |url= value (help); Cite journal requires |journal= (help)
• Francisco Facchinei, Jong-Shi Pang (2003). Finite-Dimensional Variational Inequalities and Complementarity Problems, Volume I.