A positive use of linear complementarity programming to analyze commodity- and sector-related issues - a global investment model as an example (English)

Linear programming (LP) and quadratic programming (QP) have been broadly applied to analyze commodity- and sector-related issues. Linear complementarity programming (LCP), which encompasses LP and QP as special cases, has also been advocated as a useful tool to analyze commodity markets. This paper discusses the unique features of LCP that differentiate it from QP. To show the differences between LCP and QP clearly, it develops LCP and QP global investment...

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Author

Hashimoto,Hideo;
Document Date
1983/06/30
Document Type
Commodity Working Paper
Report Number
DWC8302
Volume No
1
Total Volume(s)
1
Country
World,
Region
Other,
Disclosure Date
2017/12/16
Disclosure Status
Disclosed
Doc Name
A positive use of linear complementarity programming to analyze commodity- and sector-related issues - a global investment model as an example
Keywords
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Citation

Hashimoto,Hideo.

A positive use of linear complementarity programming to analyze commodity- and sector-related issues - a global investment model as an example (English). Commodities & Export Projections Division working paper|no. DWC 1983-3 Washington, DC: World Bank. http://documents.worldbank.org/curated/en/813171493320585339

A positive use of linear complementarity programming to analyze commodity- and sector-related issues - a global investment model as an example (English)

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