Peter Hellekalek (36 results)

Language: English
Published by Springer, New York, 1998
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Language: English
Published by Springer, 1998
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Language: English
Published by Springer, 1998
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Language: English
Published by Springer, 1998
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Published by Salzburg, Universität Salzburg 2000, 2002., 2000
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Add to basket29,5 x 20,5 cm. Condition: Sehr gut. 1. Auflage, 4 Hefte. 11 Blatt; 7 Blatt; 14 Blatt; 18 Seiten Softcover. Original Broschur. Klammerheftung. Innen sauberer, sehr guter Zustand. Mit Formel-Abbildungen. Universität Salzburg, Institut für Scientific Computing, Forschungsinstitut für Softwaretechnologie. Weitere Verfasser: Christi…an Buchta, Gunther Leobacher. 3. Titel: An optimal Strategy for Hedging with Short-Term Future Contracts. 4. Titel: An identity relating moments of functionals of convex hulls. Mathematische Berichte: Nr. 22, Jänner 2002; Nr. 25, Mai 2002; Nr. 12, August 2000, Nr. 27, Dezember 2002. MIG-15-04A|A35 Sprache: Englisch Gewicht in Gramm: 280.

Monte Carlo and Quasi-Monte Carlo Methods 1996: Proceedings of a Conference at the University of Salzburg, Austria, July 9-12, 1996 (Lecture Notes in Statistics, 127)
H. Niederreiter, P. Hellekalek, G. Larcher, P. Zinterhof, ed.
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Language: English
Published by Springer, 1998
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Monte Carlo and Quasi-Monte Carlo Methods 1996 : Proceedings of a Conference at the University of Salzburg, Austria, July 9-12, 1996
Niederreiter, Harald (EDT); Hellekalek, Peter (EDT); Larcher, Gerhard (EDT); Zinterhof, Peter (EDT)
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Language: English
Published by SP SPRINGER, 1998
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Monte Carlo and Quasi-Monte Carlo Methods 1996 : Proceedings of a Conference at the University of Salzburg, Austria, July 9-12, 1996
Niederreiter, Harald (EDT); Hellekalek, Peter (EDT); Larcher, Gerhard (EDT); Zinterhof, Peter (EDT)
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Monte Carlo and Quasi-Monte Carlo Methods 1996 : Proceedings of a Conference at the University of Salzburg, Austria, July 9-12, 1996
Niederreiter, Harald (EDT); Hellekalek, Peter (EDT); Larcher, Gerhard (EDT); Zinterhof, Peter (EDT)
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Monte Carlo and Quasi-Monte Carlo Methods 1996 : Proceedings of a Conference at the University of Salzburg, Austria, July 9-12, 1996
Niederreiter, Harald (EDT); Hellekalek, Peter (EDT); Larcher, Gerhard (EDT); Zinterhof, Peter (EDT)
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Monte Carlo and Quasi-Monte Carlo Methods 1996: Proceedings of a Conference at the University of Salzburg, Austria, July 9-12, 1996 (Lecture Notes in Statistics, 127)
Niederreiter, Harald [Editor]; Hellekalek, Peter [Editor]; Larcher, Gerhard [Editor]; Zinterhof, Peter [Editor];
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Language: English
Published by Springer, 1998
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Language: English
Published by Springer, 1998
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Language: English
Published by Springer 1998-10, 1998
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Language: English
Published by Springer, 1998
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Language: English
Published by Springer, 1998
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Language: English
Published by Springer New York, 1998
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 348 | Sprache: Englisch | Produktart: Bücher | This volume is a collection of survey papers on recent developments in the fields of quasi-Monte Carlo methods and uniform random number generation. We will cover a broad spectrum of questions, from advanced metric number theory to pr…icing financial derivatives. The Monte Carlo method is one of the most important tools of system modeling. Deterministic algorithms, so-called uniform random number gen erators, are used to produce the input for the model systems on computers. Such generators are assessed by theoretical ("a priori") and by empirical tests. In the a priori analysis, we study figures of merit that measure the uniformity of certain high-dimensional "random" point sets. The degree of uniformity is strongly related to the degree of correlations within the random numbers. The quasi-Monte Carlo approach aims at improving the rate of conver gence in the Monte Carlo method by number-theoretic techniques. It yields deterministic bounds for the approximation error. The main mathematical tool here are so-called low-discrepancy sequences. These "quasi-random" points are produced by deterministic algorithms and should be as "super" uniformly distributed as possible. Hence, both in uniform random number generation and in quasi-Monte Carlo methods, we study the uniformity of deterministically generated point sets in high dimensions. By a (common) abuse oflanguage, one speaks of random and quasi-random point sets. The central questions treated in this book are (i) how to generate, (ii) how to analyze, and (iii) how to apply such high-dimensional point sets.

Language: English
Published by Springer, 1998
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Language: English
Published by Springer-Verlag New York Inc., 1998
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Language: English
Published by Springer, 1998
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume is a collection of survey papers on recent developments in the fields of quasi-Monte Carlo methods and uniform random number generation. We will cover a broad spectrum of questions, from advanced metric number theory to pricing financia…l derivatives. The Monte Carlo method is one of the most important tools of system modeling. Deterministic algorithms, so-called uniform random number gen erators, are used to produce the input for the model systems on computers. Such generators are assessed by theoretical ('a priori') and by empirical tests. In the a priori analysis, we study figures of merit that measure the uniformity of certain high-dimensional 'random' point sets. The degree of uniformity is strongly related to the degree of correlations within the random numbers. The quasi-Monte Carlo approach aims at improving the rate of conver gence in the Monte Carlo method by number-theoretic techniques. It yields deterministic bounds for the approximation error. The main mathematical tool here are so-called low-discrepancy sequences. These 'quasi-random' points are produced by deterministic algorithms and should be as 'super' uniformly distributed as possible. Hence, both in uniform random number generation and in quasi-Monte Carlo methods, we study the uniformity of deterministically generated point sets in high dimensions. By a (common) abuse oflanguage, one speaks of random and quasi-random point sets. The central questions treated in this book are (i) how to generate, (ii) how to analyze, and (iii) how to apply such high-dimensional point sets.

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Condition: Gut. Zustand: Gut | Seiten: 468 | Sprache: Englisch | Produktart: Bücher | Monte Carlo methods are numerical methods based on random sampling and quasi-Monte Carlo methods are their deterministic versions. This volume contains the refereed proceedings of the Second International Conference on Monte Carlo and Quasi-Mon…te Carlo Methods in Scientific Computing which was held at the University of Salzburg (Austria) from July 9--12, 1996. The conference was a forum for recent progress in the theory and the applications of these methods. The topics covered in this volume range from theoretical issues in Monte Carlo and simulation methods, low-discrepancy point sets and sequences, lattice rules, and pseudorandom number generation to applications such as numerical integration, numerical linear algebra, integral equations, binary search, global optimization, computational physics, mathematical finance, and computer graphics. These proceedings will be of interest to graduate students and researchers in Monte Carlo and quasi-Monte Carlo methods, to numerical analysts, and to practitioners of simulation methods.

Language: English
Published by Springer New York, Springer US Nov 1997, 1997
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Monte Carlo methods are numerical methods based on random sampling and quasi-Monte Carlo methods are their deterministic versions. This volume contains the refereed proceedings of the Second International Conference on Monte Carlo a…nd Quasi-Monte Carlo Methods in Scientific Computing which was held at the University of Salzburg (Austria) from July 9--12, 1996. The conference was a forum for recent progress in the theory and the applications of these methods. The topics covered in this volume range from theoretical issues in Monte Carlo and simulation methods, low-discrepancy point sets and sequences, lattice rules, and pseudorandom number generation to applications such as numerical integration, numerical linear algebra, integral equations, binary search, global optimization, computational physics, mathematical finance, and computer graphics. These proceedings will be of interest to graduate students and researchers in Monte Carlo and quasi-Monte Carlo methods, to numerical analysts, and to practitioners of simulation methods. 468 pp. Englisch.

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