Description

Book Synopsis
This book is concerned with fostering theoretical issues on stochastic programming and discussing how it can solve real life problems. The book presents applications which solve the optimisation of concrete problems in electricity markets, market equilibria, resource markets and environments. Each chapter presents a survey on the main results concerned with its contents, and discusses their impact by illustrating how they are applicable in real life. The authors use concrete, real life problems and simulation-motivated experiments for illustrating the behavior of the stochastic models discussed. The target audience for this title is graduate students or researchers in optimisation, approximation, statistics, operations research and computing, as well as professionals dealing with applications where uncertainty may be modeled by using stochastic optimisation and academics. The contributors are well-known specialists in stochastic programming.

Stochastic Programming: Theory, Applications &

    Product form

    £999.99

    Includes FREE delivery

    A Paperback / softback by Carlos Narciso Bouza Herrera

    Out of stock

      Trusted by thousands of customers. See 2,385+ Customer Reviews

      View other formats and editions of Stochastic Programming: Theory, Applications & by Carlos Narciso Bouza Herrera

      Publisher: Nova Science Publishers Inc
      Publication Date: 01/05/2017
      ISBN13: 9781536109405, 978-1536109405
      ISBN10: 1536109401
      Also in:
      Mathematics

      Description

      Book Synopsis
      This book is concerned with fostering theoretical issues on stochastic programming and discussing how it can solve real life problems. The book presents applications which solve the optimisation of concrete problems in electricity markets, market equilibria, resource markets and environments. Each chapter presents a survey on the main results concerned with its contents, and discusses their impact by illustrating how they are applicable in real life. The authors use concrete, real life problems and simulation-motivated experiments for illustrating the behavior of the stochastic models discussed. The target audience for this title is graduate students or researchers in optimisation, approximation, statistics, operations research and computing, as well as professionals dealing with applications where uncertainty may be modeled by using stochastic optimisation and academics. The contributors are well-known specialists in stochastic programming.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account