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Stochastic numerical methods = an in...
~
Toral, Raúl.
Stochastic numerical methods = an introduction for students and scientists /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Stochastic numerical methods/ Raúl Toral, and Pere Colet.
Reminder of title:
an introduction for students and scientists /
Author:
Toral, Raúl.
other author:
Colet, Pere.
Published:
Weinheim, Germany :Wiley-VCH, : 2014.,
Description:
1 online resource (xvi, 402 p.)
Subject:
Numerical analysis. -
Online resource:
http://onlinelibrary.wiley.com/book/10.1002/9783527683147
ISBN:
1306907977$q(ebk)
Stochastic numerical methods = an introduction for students and scientists /
Toral, Raúl.
Stochastic numerical methods
an introduction for students and scientists /[electronic resource] :Raúl Toral, and Pere Colet. - Weinheim, Germany :Wiley-VCH,2014. - 1 online resource (xvi, 402 p.)
Includes bibliographical references.
Stochastic Numerical Methods introduces at Master level the numerical methods that use probability or stochastic concepts to analyze random processes. The book aims at being rather general and is addressed at students of natural sciences (Physics, Chemistry, Mathematics, Biology, etc.) and Engineering, but also social sciences (Economy, Sociology, etc.) where some of the techniques have been used recently to numerically simulate different agent-based models. Examples included in the book range from phase-transitions and critical phenomena, including details of data analysis.
ISBN: 1306907977$q(ebk)Subjects--Topical Terms:
527939
Numerical analysis.
LC Class. No.: QA214 .T384 2014
Dewey Class. No.: 511.8
Stochastic numerical methods = an introduction for students and scientists /
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an introduction for students and scientists /
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Raúl Toral, and Pere Colet.
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2014.
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1 online resource (xvi, 402 p.)
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Includes bibliographical references.
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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.
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Online resource; title from PDF title page (Wiley, viewed June 18, 2014).
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Numerical analysis.
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http://onlinelibrary.wiley.com/book/10.1002/9783527683147
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