A Monte Carlo Primer | Buchprofil und Inhaltsübersicht

A Monte Carlo Primer: Inhalt, Einordnung und bibliografische Details

Mit A Monte Carlo Primer liegt ein Buch von Stephen A. Dupree, Stanley K. Fraley vor, das der Kategorie Sachbuch zugeordnet wird und sich für alle eignet, die gezielt nach Literatur mit diesem Schwerpunkt suchen. Mit dem Untertitel A Practical Approach to Radiation Transport wird bei A Monte Carlo Primer noch deutlicher, in welche Richtung das Werk inhaltlich argumentiert und welche Schwerpunkte gesetzt werden. Die vorhandene Beschreibung macht deutlich, worauf A Monte Carlo Primer den Fokus legt: This book introduces the reader to the use of Monte Carlo methods for solving practical problems in radiation transport, and will also serve as a reference work for practitioners in the field. It assumes the reader has a general knowledge of calculus and radiation physics, and a knowledge of Fortran programming, but assumes no prior knowledge of stochastic methods or statistical physics. The subject is presented by a combination of theoretical development and practical calculations. Because Monte Carlo methods are closely linked to the use of computers, from the beginning the reader is taught to convert the theoretical constructs developed in the text into functional software for use on a personal computer. Example problems provide the reader with an in-depth understanding of the concepts presented and lead to the production of a unique learning tool, a probabilistic framework code that models in a simple manner the features of production of Monte Carlo transport codes. This framework code is developed in stages such that every function is understood, tested, and demonstrated - random sampling, generating random numbers, implementing geometric models, using variance reduction, tracking particles in a random walk, testing the thoroughness with which the problem phase space is sampled, scoring detectors, and obtaining estimates of uncertainty in results. Advanced topics covered include criticality, correlated sampling, adjoint transport, and neutron thermalization. Monte Carlo codes can produce highly precise wrong answers. The probability of this occurring is increased if production codes are run as opaque, `black boxes' of software. This text attempts to make Monte Carlo into a comprehensible, usable tool for solving practical transport problems. It is suitable for advanced undergraduate and graduate students and researchers who wish to expand their knowledge of the Monte Carlo technique Als Veröffentlichungsdatum ist 2002 hinterlegt; verlegt wurde der Titel von Springer US in Boston, MA.

Einordnung nach Autor, Thema und Ausgabe

Im Kontext des Gesamtwerks von Stephen A. Dupree, Stanley K. Fraley lässt sich A Monte Carlo Primer gezielt bibliografisch und thematisch einordnen. Dass A Monte Carlo Primer in Deutsch erschienen ist, erleichtert die gezielte Auswahl für sprachspezifische Recherchen. Die Angaben zu Springer US und Boston, MA stärken die bibliografische Präzision des Eintrags. Mit dem Erscheinungszeitpunkt 2002 lässt sich A Monte Carlo Primer sauber in einen bibliografischen Kontext einordnen. Innerhalb von Sachbuch bietet A Monte Carlo Primer eine klar erkennbare thematische Zuordnung.

Inhalte, Themen und Relevanz

Die Beschreibung zeigt, dass A Monte Carlo Primer klar dem Bereich Sachbuch zugeordnet werden kann: This book introduces the reader to the use of Monte Carlo methods for solving practical problems in radiation transport, and will also serve as a reference work for practitioners in the field. It assumes the reader has a general knowledge of calculus and radiation physics, and a knowledge of Fortran programming, but assumes no prior knowledge of stochastic methods or statistical physics. The subject is presented by a combination of theoretical development and practical calculations. Because Monte Carlo methods are closely linked to the use of computers, from the beginning the reader is taught to convert the theoretical constructs developed in the text into functional software for use on a personal computer. Example problems provide the reader with an in-depth understanding of the concepts presented and lead to the production of a unique learning tool, a probabilistic framework code that models in a simple manner the features of production of Monte Carlo transport codes. This framework code is developed in stages such that every function is understood, tested, and demonstrated - random sampling, generating random numbers, implementing geometric models, using variance reduction, tracking particles in a random walk, testing the thoroughness with which the problem phase space is sampled, scoring detectors, and obtaining estimates of uncertainty in results. Advanced topics covered include criticality, correlated sampling, adjoint transport, and neutron thermalization. Monte Carlo codes can produce highly precise wrong answers. The probability of this occurring is increased if production codes are run as opaque, `black boxes' of software. This text attempts to make Monte Carlo into a comprehensible, usable tool for solving practical transport problems. It is suitable for advanced undergraduate and graduate students and researchers who wish to expand their knowledge of the Monte Carlo technique Ergänzend helfen die hinterlegten Schlagwörter dabei, A Monte Carlo Primer thematisch schneller einzuordnen: Physics, Biophysics and Biological Physics, Nuclear engineering, Nuclear Physics, Heavy Ions, Hadrons

Ausgabe, Identifikatoren und Referenzen

Die Ausgabe ist über den Verlag Springer US, den Ort Boston, MA und das Datum 2002 klar kontextualisiert. Mit 1441984917 und 9781441984913 stehen zwei zentrale ISBN-Varianten zur Verfügung, die die Ausgabe eindeutig beschreiben. Für weiterführende bibliografische Verknüpfungen sind die Kennungen OL19889188W und OL27075900M besonders hilfreich.

Die zentralen Metadaten zu A Monte Carlo Primer

1. Schlagwörter: Physics, Biophysics and Biological Physics, Nuclear engineering, Nuclear Physics, Heavy Ions, Hadrons
2. Open-Library-Editions-IDs: OL27075900M
3. Verfasst von: Stephen A. Dupree, Stanley K. Fraley
4. Publiziert bei: Springer US
5. Sprache: Deutsch
6. ISBN-10: 1441984917
7. Open-Library-Work-ID: OL19889188W
8. Internationale Standardbuchnummer (ISBN-13): 9781441984913
9. Thematische Hauptkategorie: Sachbuch
10. Ergänzender Titelzusatz: A Practical Approach to Radiation Transport
11. Titel: A Monte Carlo Primer
12. Kurzbeschreibung: This book introduces the reader to the use of Monte Carlo methods for solving practical problems in radiation transport, and will also serve as a reference work for practitioners in the field. It assumes the reader has a general knowledge of calculus and radiation physics, and a knowledge of Fortran programming, but assumes no prior knowledge of stochastic methods or statistical physics. The subject is presented by a combination of theoretical development and practical calculations. Because Monte Carlo methods are closely linked to the use of computers, from the beginning the reader is taught to convert the theoretical constructs developed in the text into functional software for use on a personal computer. Example problems provide the reader with an in-depth understanding of the concepts presented and lead to the production of a unique learning tool, a probabilistic framework code that models in a simple manner the features of production of Monte Carlo transport codes. This framework code is developed in stages such that every function is understood, tested, and demonstrated - random sampling, generating random numbers, implementing geometric models, using variance reduction, tracking particles in a random walk, testing the thoroughness with which the problem phase space is sampled, scoring detectors, and obtaining estimates of uncertainty in results. Advanced topics covered include criticality, correlated sampling, adjoint transport, and neutron thermalization. Monte Carlo codes can produce highly precise wrong answers. The probability of this occurring is increased if production codes are run as opaque, `black boxes' of software. This text attempts to make Monte Carlo into a comprehensible, usable tool for solving practical transport problems. It is suitable for advanced undergraduate and graduate students and researchers who wish to expand their knowledge of the Monte Carlo technique
13. Veröffentlicht am: 2002
14. Format: physical
15. Ort der Veröffentlichung: Boston, MA

Auffindbarkeit und bibliografische Präzision

Die Verbindung aus A Monte Carlo Primer, Stephen A. Dupree, Stanley K. Fraley, Sachbuch und Physics, Biophysics and Biological Physics, Nuclear engineering, Nuclear Physics, Heavy Ions, Hadrons schafft eine solide Grundlage für eine präzise thematische Suche. Eindeutige Referenzdaten wie 1441984917, 9781441984913 und OL19889188W verbessern die bibliografische Verlässlichkeit zusätzlich.

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