Target New ArrivalsBack to SchoolCollegeClothing, Shoes & AccessoriesHome & DecorKitchen & DiningOutdoor Living & GardenGroceryHousehold EssentialsBabyBeautyPersonal CareSports & OutdoorsHealthWellnessSchool & Office SuppliesToys & GamesElectronics & TechVideo GamesMovies, Music & BooksParty SuppliesGift IdeasGift CardsPetsUlta Beauty at TargetShop by CommunityTarget OpticalDealsClearanceNew ArrivalsBack to SchoolCollegeTop DealsTarget Circle DealsWeekly AdShop Order PickupShop Same Day DeliveryRegistryRedCardTarget CircleFind Stores
Stability, Approximation, and Decomposition in Two- And Multistage Stochastic Programming - by  Christian Küchler (Paperback) - 1 of 1

Stability, Approximation, and Decomposition in Two- And Multistage Stochastic Programming - by Christian Küchler (Paperback)

$54.99

In Stock

Free & easy returns
Free & easy returns
Return this item by mail or in store within 90 days for a full refund.
Eligible for registries and wish lists

About this item

Highlights

  • Stochastic programming provides a framework for modelling, analyzing, and solving optimization problems with some parameters being not known up to a probability distribution.
  • About the Author: Dr. Christian Küchler completed his doctoral thesis at the Humboldt University, Berlin.
  • 184 Pages
  • Mathematics, Probability & Statistics
  • Series Name: Stochastic Programming

Description



Book Synopsis



Stochastic programming provides a framework for modelling, analyzing, and solving optimization problems with some parameters being not known up to a probability distribution. Such problems arise in a variety of applications, such as inventory control, financial planning and portfolio optimization, airline revenue management, scheduling and operation of power systems, and supply chain management.

Christian Küchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees. The approach combines the concept of cut sharing with a specific aggregation procedure and prevents an exponentially growing number of subproblem evaluations. Convergence results and numerical properties are discussed.



From the Back Cover



Stochastic programming provides a framework for modelling, analyzing, and solving optimization problems with some parameters being not known up to a probability distribution. Such problems arise in a variety of applications, such as inventory control, financial planning and portfolio optimization, airline revenue management, scheduling and operation of power systems, and supply chain management.

Christian Küchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees. The approach combines the concept of cut sharing with a specific aggregation procedure and prevents an exponentially growing number of subproblem evaluations. Convergence results and numerical properties are discussed.



About the Author



Dr. Christian Küchler completed his doctoral thesis at the Humboldt University, Berlin. He currently works as a quantitative analyst at Landesbank Berlin AG.
Dimensions (Overall): 8.27 Inches (H) x 5.83 Inches (W) x .4 Inches (D)
Weight: .5 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 184
Genre: Mathematics
Sub-Genre: Probability & Statistics
Series Title: Stochastic Programming
Publisher: Vieweg+teubner Verlag
Theme: General
Format: Paperback
Author: Christian Küchler
Language: English
Street Date: September 24, 2009
TCIN: 1011491036
UPC: 9783834809216
Item Number (DPCI): 247-17-1039
Origin: Made in the USA or Imported
If the item details aren’t accurate or complete, we want to know about it.

Shipping details

Estimated ship dimensions: 0.4 inches length x 5.83 inches width x 8.27 inches height
Estimated ship weight: 0.5 pounds
We regret that this item cannot be shipped to PO Boxes.
This item cannot be shipped to the following locations: American Samoa (see also separate entry under AS), Guam (see also separate entry under GU), Northern Mariana Islands, Puerto Rico (see also separate entry under PR), United States Minor Outlying Islands, Virgin Islands, U.S., APO/FPO, Alaska, Hawaii

Return details

This item can be returned to any Target store or Target.com.
This item must be returned within 90 days of the date it was purchased in store, delivered to the guest, delivered by a Shipt shopper, or picked up by the guest.
See the return policy for complete information.

Additional product information and recommendations

Discover more options

Best-selling Education Books

Get top deals, latest trends, and more.