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The developments within the computationally and numerically oriented ar eas of Operations Research, Finance, Statistics and Economics have been sig nificant over the past few decades. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization among them yet. This volume contains a collection of papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a number of relevant topics: Models and Modelling in Operations Research and Economics, novel High-level and Object-Oriented approaches to programming, through advanced uses of Maple and MATLAB, and applications and solution of Differential Equations in Finance. It is hoped that the material in this volume will whet the reader's appetite for discovering and exploring new approaches to old problems, and in the longer run facilitate cross-fertilization among the fields. We would like to thank the contributing authors, the reviewers, the publisher, and last, but not least, Jesper Saxtorph, Anders Nielsen, and Thomas Stidsen for invaluable technical assistance.
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Contenuti
Preface. Contributing Authors. Part I: Models and Modelling. 1. Coin-or: An Open-Source Library for Optimization; M.J. Saltzman. 2. Macroeconomics: What can we learn from the Dynamical Systems Literature? P. Gomis-Porqueras, À. Haro. 3. The rapid implementation of asset/liability models for risk management; J.L. Kruiser. 4. Human and Organization Challenges to the Use of Optimization; D.E. Shobrys. Part II: High-level and Object Oriented Approaches. 5. Object-oriented Programming using Ox; J.A. Doornik. 6. Design Patterns in Hierarchical Models; C.R. Birchenhall. 7. Facilitating applied economic research with Stata; C.F. Baum. 8. Formulation of Linear Optimization Problems in C++; T.H. Hultberg. Part III: Maple and MATLAB. 9. MAPLE and MATLAB for Stochastic Differential Equations in Finance; D.J. Higham, P.E. Kloeden. 10. Computational Programming Environments; R.D. Herbert. 11. Statistics and simulations with Maple; J. Ombach, J. Jarnicka. 12. MATLAB as a Flexible Tool for Data Analysis and Optimisation; G.R. Lindfield, J.E.T. Penny. Part IV: Options and Differential Equations. 13. Option pricing with Excel; P. Honoré, R. Poulsen. 14. Numerical solution of boundary value problems in computational finance; J. Hugger. 15. MAPLE for Jump-Diffusion Stochastic Differential Equations in Finance; S. Cyganowski, et al.
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- EditoreKluwer Academic Pub
- Data di pubblicazione2002
- ISBN 10 1402071396
- ISBN 13 9781402071393
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine460
- RedattoreNielsen Soren S.
- Contatto del produttorenon disponibile
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Programming Languages and Systems in Computational Economics and Finance (Advances in Computational Economics)
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Hardcover. Condizione: Very Good. No DJ. Lightly read if read at all. No markings in book. Binding is tight. From the back cover: The 15 papers in this book cover a wide range of relevant topics; Models and Modelling in Operations Research and Economic (Matt Saltzman; Pere Gomis-Porqueras and Alex Haro; Jerome Kruiser; Don Shobrys), novel High-level and Object-Oriented approaches to programming (Jurgen Doornik; Chris Birchenhall; Christopher Baum; Tim Hultberg), through advanced uses of Maple and MATLAB (Des Higham and Peter Kloeden; Ric Herbert, Jerzy Ombach and Jolanta Jarnicka; George Lindfield and John Penny), and applications and solution of Differential Equations in Finance (Peter Honore and Rolf Poulsen; Jens Hugger; Sasha Cyganowski and Lars Grune). 460 pages. Codice articolo mon0000001120
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The developments within the computationally and numerically oriented ar eas of Operations Research, Finance, Statistics and Economics have been sig nificant over the past few decades. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization among them yet. This volume contains a collection of papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a number of relevant topics: Models and Modelling in Operations Research and Economics, novel High-level and Object-Oriented approaches to programming, through advanced uses of Maple and MATLAB, and applications and solution of Differential Equations in Finance. It is hoped that the material in this volume will whet the reader's appetite for discovering and exploring new approaches to old problems, and in the longer run facilitate cross-fertilization among the fields. We would like to thank the contributing authors, the reviewers, the publisher, and last, but not least, Jesper Saxtorph, Anders Nielsen, and Thomas Stidsen for invaluable technical assistance. 476 pp. Englisch. Codice articolo 9781402071393
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Buch. Condizione: Neu. Neuware -The developments within the computationally and numerically oriented ar eas of Operations Research, Finance, Statistics and Economics have been sig nificant over the past few decades. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization among them yet. This volume contains a collection of papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a number of relevant topics: Models and Modelling in Operations Research and Economics, novel High-level and Object-Oriented approaches to programming, through advanced uses of Maple and MATLAB, and applications and solution of Differential Equations in Finance. It is hoped that the material in this volume will whet the reader's appetite for discovering and exploring new approaches to old problems, and in the longer run facilitate cross-fertilization among the fields. We would like to thank the contributing authors, the reviewers, the publisher, and last, but not least, Jesper Saxtorph, Anders Nielsen, and Thomas Stidsen for invaluable technical assistance.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 476 pp. Englisch. Codice articolo 9781402071393
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Programming Languages and Systems in Computational Economics and Finance (Advances in Computational Economics, 18)
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The developments within the computationally and numerically oriented ar eas of Operations Research, Finance, Statistics and Economics have been sig nificant over the past few decades. Each area has been developing its own computer systems and languages that suit its needs, but there is relatively little cross-fertilization among them yet. This volume contains a collection of papers that each highlights a particular system, language, model or paradigm from one of the computational disciplines, aimed at researchers and practitioners from the other fields. The 15 papers cover a number of relevant topics: Models and Modelling in Operations Research and Economics, novel High-level and Object-Oriented approaches to programming, through advanced uses of Maple and MATLAB, and applications and solution of Differential Equations in Finance. It is hoped that the material in this volume will whet the reader's appetite for discovering and exploring new approaches to old problems, and in the longer run facilitate cross-fertilization among the fields. We would like to thank the contributing authors, the reviewers, the publisher, and last, but not least, Jesper Saxtorph, Anders Nielsen, and Thomas Stidsen for invaluable technical assistance. Codice articolo 9781402071393
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