Skip to main content

Chance Constraints

  • Chapter
  • First Online:
Stochastic Programming

Abstract

As has been indicated in Chap. 1, chance constraints arise as tools for modeling risk and risk aversion in random linear programs, interpreted as here-and-now decision problems. In this chapter we deal with the properties of these tools.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 119.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. S. Katakoa. A stochastic programming model. Econometrica, 31:181–196, 1963.

    Article  Google Scholar 

  2. A. Prékopa. Stochastic Programming. Kluwer Academic Publishers, Dordrecht, 1995.

    Book  Google Scholar 

  3. C. van de Panne and W. Popp. Minimum cost cattle feed under probabilistic protein constraint. Management Science, 9:405–430, 1963.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Klein Haneveld, W.K., van der Vlerk, M.H., Romeijnders, W. (2020). Chance Constraints. In: Stochastic Programming. Graduate Texts in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-030-29219-5_5

Download citation

Publish with us

Policies and ethics