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Mixed complementarity problem

formulation in mathematical programming

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Record originEnglish Wikipedia
Text licenseCC BY-SA 4.0
Source revisionApr 2, 2025
Entity authorityQ6883962
Source-derived summary

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

)

:

R

n

R

n

{\displaystyle F(x):\mathbb {R} ^{n}\to \mathbb {R} ^{n}}

, lower values

i

R

{

}

{\displaystyle \ell _{i}\in \mathbb {R} \cup \{-\infty \}}

and upper values

u

i

R

{

}

{\displaystyle u_{i}\in \mathbb {R} \cup \{\infty \}}

, with

i

{

1

,

,

n

}

{\displaystyle i\in \{1,\ldots ,n\}}

.

The solution of the MCP is a vector

x

R

n

{\displaystyle x\in \mathbb {R} ^{n}}

such that for each index

i

{

1

,

,

n

}

{\displaystyle i\in \{1,\ldots ,n\}}

one of the following alternatives holds:

x

i

=

i

,

F

i

(

x

)

0

{\displaystyle x_{i}=\ell _{i},\;F_{i}(x)\geq 0}

;

i

<

x

i

<

u

i

,

F

i

(

x

)

=

0

{\displaystyle \ell _{i}<x_{i}<u_{i},\;F_{i}(x)=0}

;

x

i

=

u

i

,

F

i

(

x

)

0

{\displaystyle x_{i}=u_{i},\;F_{i}(x)\leq 0}

.

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

[

,

u

]

{\displaystyle [\ell ,u]}

.

See also

Complementarity theory

References

Stephen C. Billups (1995). "Algorithms for complementarity problems and generalized equations" (PS). Retrieved 2006-08-14.

Francisco Facchinei, Jong-Shi Pang (2003).

Editorial summary

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This entry incorporates text from Mixed complementarity problem” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.