mixed complementarity problem

{{Short description|Formulation in mathematical programming}}

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\}, with i \in \{1, \ldots, n\}.

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) \ge 0;
  • \ell_i < x_i < u_i, \; F_i(x) = 0;
  • x_i = u_i, \; F_i(x) \le 0.

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

See also

References

  • {{cite web|author=Stephen C. Billups|title=Algorithms for complementarity problems and generalized equations|date=1995| url=https://ftp.cs.wisc.edu/math-prog/tech-reports/95-14.ps|

format=PS|accessdate=2006-08-14}}

  • {{cite book|author=Francisco Facchinei, Jong-Shi Pang|title=Finite-Dimensional Variational Inequalities and Complementarity Problems, Volume I|date=2003}}

{{Mathematical programming}}

Category:Mathematical optimization