FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

Stochastic Decomposition

Julia L. Higle, S. Sen
    Product form
      FORMAT: Hardback

      R 3,028.78 Price and availability exclusive to website

      YOU COULD EARN 3,028.78 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 10 - 15 Business Days
      BUY NOW PAY LATER
      From R 504.79 per month!
      3x monthly payments of R 1,009.59 with
      4x fortnightly payments of R 757.19 with
      Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models. There are several arenas model is appropriate, and such models have found applications in air­ line yield management, capacity planning, electric power generation planning, financial planning, logistics, telecommunications network planning, and many more. In some of these applications, modelers represent uncertainty in terms of only a few seenarios and formulate a large scale linear program which is then solved using LP software. However, there are many applications, such as the telecommunications planning problem discussed in this book, where a handful of seenarios do not capture variability well enough to provide a reasonable model of the actual decision-making problem. Problems of this type easily exceed the capabilities of LP software by several orders of magnitude. Their solution requires the use of algorithmic methods that exploit the structure of the SLP model in a manner that will accommodate large scale applications.
      Format: CONTRIBUTORS: Julia L. Higle, S. Sen EAN: 9780792338406 COUNTRY: Netherlands PAGES: WEIGHT: 1160 g HEIGHT: 235 cm
      PUBLISHED BY: Springer DATE PUBLISHED: 1996-02-29 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, MATHEMATICS / Applied, SCIENCE / System Theory WIDTH: 155 cm SPINE:

      Book Themes:

      Cybernetics and systems theory, Management decision making, Operational research, Optimization

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Motivation Stochastic Linear Programming with recourse represents one of the more widely applicable models for incorporating uncertainty within in which the SLP optimization models. There are several arenas model is appropriate, and such models have found applications in air­ line yield management, capacity planning, electric power generation planning, financial planning, logistics, telecommunications network planning, and many more. In some of these applications, modelers represent uncertainty in terms of only a few seenarios and formulate a large scale linear program which is then solved using LP software. However, there are many applications, such as the telecommunications planning problem discussed in this book, where a handful of seenarios do not capture variability well enough to provide a reasonable model of the actual decision-making problem. Problems of this type easily exceed the capabilities of LP software by several orders of magnitude. Their solution requires the use of algorithmic methods that exploit the structure of the SLP model in a manner that will accommodate large scale applications.
      Format: CONTRIBUTORS: Julia L. Higle, S. Sen EAN: 9780792338406 COUNTRY: Netherlands PAGES: WEIGHT: 1160 g HEIGHT: 235 cm
      PUBLISHED BY: Springer DATE PUBLISHED: 1996-02-29 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, MATHEMATICS / Applied, SCIENCE / System Theory WIDTH: 155 cm SPINE:

      Book Themes:

      Cybernetics and systems theory, Management decision making, Operational research, Optimization

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account