Amazon cover image
Image from Amazon.com

Stochastic simulation: algorithms and analysis

By: Contributor(s): Material type: TextTextSeries: Stochastic modelling and applied probability, vol. 57Publication details: New York Springer 2007 Description: xiv, 476 pISBN:
  • 9780387306797
Subject(s): DDC classification:
  • 519.23
Summary: Sampling-based computational methods have become a fundamental part of the numerical tool set of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focusses on general methods, whereas the second half discusses model-specific algorithms.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Item location Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 28-B / Slot 1402 (0 Floor, East Wing) General Stacks 519.23 A8S8 (Browse shelf(Opens below)) Available 163648

Sampling-based computational methods have become a fundamental part of the numerical tool set of practitioners and researchers across an enormous number of different applied domains and academic disciplines. This book provides a broad treatment of such sampling-based methods , as well as accompanying mathematical analysis of the convergence properties of the methods discussed . The reach of the ideas is illustrated by discussing a wide range of applications and the models that have found wide usage. The first half of the book focusses on general methods, whereas the second half discusses model-specific algorithms.

There are no comments on this title.

to post a comment.