logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Stochastic Optimization Algorithms And Applications 1st Edition Jitka Dupaov Auth

  • SKU: BELL-4199010
Stochastic Optimization Algorithms And Applications 1st Edition Jitka Dupaov Auth
$ 31.00 $ 45.00 (-31%)

4.4

12 reviews

Stochastic Optimization Algorithms And Applications 1st Edition Jitka Dupaov Auth instant download after payment.

Publisher: Springer US
File Extension: PDF
File size: 16.29 MB
Pages: 435
Author: Jitka Dupačová (auth.), Stanislav Uryasev, Panos M. Pardalos (eds.)
ISBN: 9781441948557, 9781475765946, 1441948554, 1475765940
Language: English
Year: 2001
Edition: 1

Product desciption

Stochastic Optimization Algorithms And Applications 1st Edition Jitka Dupaov Auth by Jitka Dupačová (auth.), Stanislav Uryasev, Panos M. Pardalos (eds.) 9781441948557, 9781475765946, 1441948554, 1475765940 instant download after payment.

Stochastic programming is the study of procedures for decision making under the presence of uncertainties and risks. Stochastic programming approaches have been successfully used in a number of areas such as energy and production planning, telecommunications, and transportation. Recently, the practical experience gained in stochastic programming has been expanded to a much larger spectrum of applications including financial modeling, risk management, and probabilistic risk analysis. Major topics in this volume include: (1) advances in theory and implementation of stochastic programming algorithms; (2) sensitivity analysis of stochastic systems; (3) stochastic programming applications and other related topics.
Audience: Researchers and academies working in optimization, computer modeling, operations research and financial engineering. The book is appropriate as supplementary reading in courses on optimization and financial engineering.

Related Products