Amazon cover image
Image from Amazon.com

Stochastic numerical methods : an introduction for students and scientists / Raúl Toral, and Pere Colet.

By: Contributor(s): Material type: TextTextPublication details: Weinheim, Germany : Wiley-VCH, ©2014.Description: 1 online resource (xvi, 402 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 1306907977
  • 9781306907972
  • 9783527683147
  • 3527683143
  • 9783527683130
  • 3527683135
  • 3527411496
  • 9783527411498
  • 3527683127
  • 9783527683123
  • 3527683119
  • 9783527683116
Subject(s): Genre/Form: Additional physical formats: Print version:: Stochastic numerical methods : an introduction for students and scientists.DDC classification:
  • 511.8
LOC classification:
  • QA214 .T384 2014
Online resources: Summary: Stochastic Numerical Methods introduces at Master level the numerical methods that use probability or stochastic concepts to analyze random processes. The book aims at being rather general and is addressed at students of natural sciences (Physics, Chemistry, Mathematics, Biology, etc.) and Engineering, but also social sciences (Economy, Sociology, etc.) where some of the techniques have been used recently to numerically simulate different agent-based models. Examples included in the book range from phase-transitions and critical phenomena, including details of data analysis.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

Includes bibliographical references.

Online resource; title from PDF title page (Wiley, viewed June 18, 2014).

Stochastic Numerical Methods introduces at Master level the numerical methods that use probability or stochastic concepts to analyze random processes. The book aims at being rather general and is addressed at students of natural sciences (Physics, Chemistry, Mathematics, Biology, etc.) and Engineering, but also social sciences (Economy, Sociology, etc.) where some of the techniques have been used recently to numerically simulate different agent-based models. Examples included in the book range from phase-transitions and critical phenomena, including details of data analysis.

Social Sciences and Humanities