Monte Carlo and Quasi-monte Carlo Methods in Scientific Computing
. Ed(S): Niederreiter, Harald; Shiue, Peter Jau-Shyong
€ 122.43
FREE Delivery in Ireland
Description for Monte Carlo and Quasi-monte Carlo Methods in Scientific Computing
Paperback. This text documents Monte Carlo methods which make use of probabilistic simulations. They are frequently used in areas such as numerical integration, complex scheduling, queuing networks and large-dimensional simulations. Editor(s): Niederreiter, Harald; Shiue, Peter Jau-Shyong. Series: Lecture Notes in Statistics. Num Pages: 386 pages, 4 black & white illustrations, biography. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 20. Weight in Grams: 591.
Scientists and engineers are increasingly making use of simulation methods to solve problems which are insoluble by analytical techniques. Monte Carlo methods which make use of probabilistic simulations are frequently used in areas such as numerical integration, complex scheduling, queueing networks, and large-dimensional simulations. This collection of papers arises from a conference held at the University of Nevada, Las Vegas, in 1994. The conference brought together researchers across a range of disciplines whose interests include the theory and application of these methods. This volume provides a timely survey of this field and the new directions in which the field is ... Read more
Scientists and engineers are increasingly making use of simulation methods to solve problems which are insoluble by analytical techniques. Monte Carlo methods which make use of probabilistic simulations are frequently used in areas such as numerical integration, complex scheduling, queueing networks, and large-dimensional simulations. This collection of papers arises from a conference held at the University of Nevada, Las Vegas, in 1994. The conference brought together researchers across a range of disciplines whose interests include the theory and application of these methods. This volume provides a timely survey of this field and the new directions in which the field is ... Read more
Product Details
Format
Paperback
Publication date
1995
Publisher
Springer-Verlag New York Inc. United States
Number of pages
386
Condition
New
Series
Lecture Notes in Statistics
Number of Pages
372
Place of Publication
New York, NY, United States
ISBN
9780387945774
SKU
V9780387945774
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Monte Carlo and Quasi-monte Carlo Methods in Scientific Computing