Skip to main content

Derivatives of Probability Measures

  • Reference work entry
Encyclopedia of Optimization
  • 472 Accesses

Article Outline

Keywords

Direct Differentiability

Inverse Differentiability

Simulation of Derivatives

  Process Derivatives

  Distributional Derivatives

See also

References

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 2,500.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 2,499.99
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. Glasserman P (1991) Gradient estimation via perturbation analysis. Kluwer, Dordrecht

    MATH  Google Scholar 

  2. Ho YC, Cao X (1983) Perturbation analysis and optimization of queueing networks. J Optim Th Appl 20:559–589

    Article  MathSciNet  Google Scholar 

  3. Pflug GC (1996) Optimization of stochastic models. Kluwer, Dordrecht

    MATH  Google Scholar 

  4. Rubinstein RY, Shapiro A (1993) Discrete event systems: Sensitivity analysis and stochastic optimization by the score function method. Wiley, New York

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag

About this entry

Cite this entry

Pflug, G. (2008). Derivatives of Probability Measures . In: Floudas, C., Pardalos, P. (eds) Encyclopedia of Optimization. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-74759-0_120

Download citation

Publish with us

Policies and ethics