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Introduction to Quasi-Monte Carlo Integration and Applications (Compact Textbooks in Mathematics) - Tapa blanda
Sinopsis
This textbook introduces readers to the basic concepts of quasi-Monte Carlo methods for numerical integration and to the theory behind them. The comprehensive treatment of the subject with detailed explanations comprises, for example, lattice rules, digital nets and sequences and discrepancy theory. It also presents methods currently used in research and discusses practical applications with an emphasis on finance-related problems. Each chapter closes with suggestions for further reading and with exercises which help students to arrive at a deeper understanding of the material presented.
The book is based on a one-semester, two-hour undergraduate course and is well-suited for readers with a basic grasp of algebra, calculus, linear algebra and basic probability theory. It provides an accessible introduction for undergraduate students in mathematics or computer science.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Gunther Leobacher is assistant professor at the Institute of Financial Mathematics at the Johannes Kepler University Linz.
Friedrich Pillichshammer is associate professor at the Institute of Financial Mathematics at the Johannes Kepler University Linz.
De la contraportada
This textbook introduces readers to the basic concepts of quasi-Monte Carlo methods for numerical integration and to the theory behind them. The comprehensive treatment of the subject with detailed explanations comprises, for example, lattice rules, digital nets and sequences and discrepancy theory. It also presents methods currently used in research and discusses practical applications with an emphasis on finance-related problems. Each chapter closes with suggestions for further reading and with exercises which help students to arrive at a deeper understanding of the material presented.
The book is based on a one-semester, two-hour undergraduate course and is well-suited for readers with a basic grasp of algebra, calculus, linear algebra and basic probability theory. It provides an accessible introduction for undergraduate students in mathematics or computer science."Sobre este título" puede pertenecer a otra edición de este libro.
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Introduction to Quasi-Monte Carlo Integration and Applications.
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Cham, Springer., 2014
ISBN 10: 3319034243
ISBN 13: 9783319034249
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XII, 195 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stamped. Sprache: Englisch. Nº de ref. del artículo: 6623JB
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INTRODUCTION TO QUASI-MONTE CARLO INTEGRATION AND APPLICATIONS
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Introduction to Quasi-Monte Carlo Integration and Applications
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Introduction to Quasi-Monte Carlo Integration and Applications
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Introduction to Quasi-Monte Carlo Integration and Applications
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Springer-Verlag GmbH, 2014
ISBN 10: 3319034243
ISBN 13: 9783319034249
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Introduction to Quasi-Monte Carlo Integration and Applications
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Introduction to Quasi-Monte Carlo Integration and Applications (Compact Textbooks in Mathematics)
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Introduction to Quasi-Monte Carlo Integration and Applications
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Berlin Springer International Publishing Springer Okt 2014, 2014
ISBN 10: 3319034243
ISBN 13: 9783319034249
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This textbook introduces readers to the basic concepts of quasi-Monte Carlo methods for numerical integration and to the theory behind them. The comprehensive treatment of the subject with detailed explanations comprises, for example, lattice rules, digital nets and sequences and discrepancy theory. It also presents methods currently used in research and discusses practical applications with an emphasis on finance-related problems. Each chapter closes with suggestions for further reading and with exercises which help students to arrive at a deeper understanding of the material presented. The book is based on a one-semester, two-hour undergraduate course and is well-suited for readers with a basic grasp of algebra, calculus, linear algebra and basic probability theory. It provides an accessible introduction for undergraduate students in mathematics or computer science. 195 pp. Englisch. Nº de ref. del artículo: 9783319034249
Cantidad disponible: 2 disponibles
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Introduction to Quasi-Monte Carlo Integration and Applications
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Springer International Publishing, 2014
ISBN 10: 3319034243
ISBN 13: 9783319034249
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a quick entry into the topic Takes a hands-on approachPresents applications in quantitative financeGunther Leobacher is assistant professor at the Institute of Financial Mathematics at the Johannes Kepler University Linz. Nº de ref. del artículo: 4496679
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Introduction to Quasi-Monte Carlo Integration and Applications
Publicado por
Springer, Berlin, Springer International Publishing, Birkhäuser, 2014
ISBN 10: 3319034243
ISBN 13: 9783319034249
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Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook introduces readers to the basic concepts of quasi-Monte Carlo methods for numerical integration and to the theory behind them. The comprehensive treatment of the subject with detailed explanations comprises, for example, lattice rules, digital nets and sequences and discrepancy theory. It also presents methods currently used in research and discusses practical applications with an emphasis on finance-related problems. Each chapter closes with suggestions for further reading and with exercises which help students to arrive at a deeper understanding of the material presented. The book is based on a one-semester, two-hour undergraduate course and is well-suited for readers with a basic grasp of algebra, calculus, linear algebra and basic probability theory. It provides an accessible introduction for undergraduate students in mathematics or computer science. Nº de ref. del artículo: 9783319034249
Cantidad disponible: 2 disponibles