The Resource Stochastic numerics for the Boltzmann equation, Sergej Rjasanow, Wolfgang Wagner
Stochastic numerics for the Boltzmann equation, Sergej Rjasanow, Wolfgang Wagner
Resource Information
The item Stochastic numerics for the Boltzmann equation, Sergej Rjasanow, Wolfgang Wagner represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Stochastic numerics for the Boltzmann equation, Sergej Rjasanow, Wolfgang Wagner represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- Summary
- Stochastic numerical methods play an important role in large scale computations in the applied sciences. The first goal of this book is to give a mathematical description of classical direct simulation Monte Carlo (DSMC) procedures for rarefied gases, using the theory of Markov processes as a unifying framework. The second goal is a systematic treatment of an extension of DSMC, called stochastic weighted particle method. This method includes several new features, which are introduced for the purpose of variance reduction (rare event simulation). Rigorous convergence results as well as detailed numerical studies are presented
- Language
- eng
- Extent
- 1 online resource (xiii, 256 pages)
- Contents
-
- Kinetic theory
- Related Markov processes
- Stochastic weighted particle method
- Numerical experiments
- Isbn
- 9786610306381
- Label
- Stochastic numerics for the Boltzmann equation
- Title
- Stochastic numerics for the Boltzmann equation
- Statement of responsibility
- Sergej Rjasanow, Wolfgang Wagner
- Language
- eng
- Summary
- Stochastic numerical methods play an important role in large scale computations in the applied sciences. The first goal of this book is to give a mathematical description of classical direct simulation Monte Carlo (DSMC) procedures for rarefied gases, using the theory of Markov processes as a unifying framework. The second goal is a systematic treatment of an extension of DSMC, called stochastic weighted particle method. This method includes several new features, which are introduced for the purpose of variance reduction (rare event simulation). Rigorous convergence results as well as detailed numerical studies are presented
- Cataloging source
- GW5XE
- http://library.link/vocab/creatorName
- Rjasanow, Sergej
- Dewey number
- 518.28
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA274.2
- LC item number
- .R58 2005eb
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Wagner, Wolfgang Michael
- Series statement
- Springer series in computational mathematics,
- Series volume
- 37
- http://library.link/vocab/subjectName
-
- Stochastic analysis
- Transport theory
- Analyse stochastique
- Transport, Théorie du
- MATHEMATICS
- MATHEMATICS
- Transport theory
- Stochastic analysis
- Stochastic analysis
- Transport theory
- Label
- Stochastic numerics for the Boltzmann equation, Sergej Rjasanow, Wolfgang Wagner
- Bibliography note
- Includes bibliographical references (pages 243-253) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Kinetic theory -- Related Markov processes -- Stochastic weighted particle method -- Numerical experiments
- Control code
- 262680843
- Dimensions
- unknown
- Extent
- 1 online resource (xiii, 256 pages)
- Form of item
- online
- Isbn
- 9786610306381
- Lccn
- 2005922826
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
-
- 2197227
- 10.1007/3-540-27689-0.
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-3-540-25268-9
- Specific material designation
- remote
- System control number
- (OCoLC)262680843
- Label
- Stochastic numerics for the Boltzmann equation, Sergej Rjasanow, Wolfgang Wagner
- Bibliography note
- Includes bibliographical references (pages 243-253) and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Kinetic theory -- Related Markov processes -- Stochastic weighted particle method -- Numerical experiments
- Control code
- 262680843
- Dimensions
- unknown
- Extent
- 1 online resource (xiii, 256 pages)
- Form of item
- online
- Isbn
- 9786610306381
- Lccn
- 2005922826
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
-
- 2197227
- 10.1007/3-540-27689-0.
- Other physical details
- illustrations.
- http://library.link/vocab/ext/overdrive/overdriveId
- 978-3-540-25268-9
- Specific material designation
- remote
- System control number
- (OCoLC)262680843
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Stochastic-numerics-for-the-Boltzmann-equation/h-GN5aHTPCI/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Stochastic-numerics-for-the-Boltzmann-equation/h-GN5aHTPCI/">Stochastic numerics for the Boltzmann equation, Sergej Rjasanow, Wolfgang Wagner</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
