Introduction to Quasi-Monte Carlo Integration and Applications

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....

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Leobacher, Gunther (Συγγραφέας), Pillichshammer, Friedrich (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Birkhäuser, 2014.
Σειρά:Compact Textbooks in Mathematics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02969nam a22004935i 4500
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003 DE-He213
005 20151031101124.0
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008 140912s2014 gw | s |||| 0|eng d
020 |a 9783319034256  |9 978-3-319-03425-6 
024 7 |a 10.1007/978-3-319-03425-6  |2 doi 
040 |d GrThAP 
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072 7 |a MAT022000  |2 bisacsh 
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100 1 |a Leobacher, Gunther.  |e author. 
245 1 0 |a Introduction to Quasi-Monte Carlo Integration and Applications  |h [electronic resource] /  |c by Gunther Leobacher, Friedrich Pillichshammer. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Birkhäuser,  |c 2014. 
300 |a XII, 195 p. 21 illus., 16 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Compact Textbooks in Mathematics,  |x 2296-4568 
505 0 |a Preface -- Notation -- 1 Introduction -- 2 Uniform Distribution Modulo One -- 3 QMC Integration in Reproducing Kernel Hilbert Spaces -- 4 Lattice Point Sets -- 5 (t, m, s)-nets and (t, s)-Sequences -- 6 A Short Discussion of the Discrepancy Bounds -- 7 Foundations of Financial Mathematics -- 8 Monte Carlo and Quasi-Monte Carlo Simulation -- Bibliography -- Index. 
520 |a 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. 
650 0 |a Mathematics. 
650 0 |a Economics, Mathematical. 
650 0 |a Numerical analysis. 
650 0 |a Number theory. 
650 1 4 |a Mathematics. 
650 2 4 |a Number Theory. 
650 2 4 |a Numerical Analysis. 
650 2 4 |a Quantitative Finance. 
700 1 |a Pillichshammer, Friedrich.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319034249 
830 0 |a Compact Textbooks in Mathematics,  |x 2296-4568 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-03425-6  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
950 |a Mathematics and Statistics (Springer-11649)