9783319346014 - extraction of quantifiable information from complex systems: 102 (15 risultati)
Extraction of Quantifiable Information from Complex Systems
Dahlke, Stephan (EDT); Dahmen, Wolfgang (EDT); Griebel, Michael (EDT); Hackbusch, Wolfgang (EDT); Ritter, Klaus (EDT)
Lingua: Inglese
Editore: Springer 2016
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Condizione: New. pp. 451 Softcover reprint of the original 1st ed. 2014 edition NO-PA16APR2015-KAP.
Extraction of Quantifiable Information from Complex Systems
Dahlke, Stephan (EDT); Dahmen, Wolfgang (EDT); Griebel, Michael (EDT); Hackbusch, Wolfgang (EDT); Ritter, Klaus (EDT)
Lingua: Inglese
Editore: Springer 2016
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In April 2007, the Deutsche Forschungsgemeinschaft (DFG) approved the Priority Program 1324 'Mathematical Methods for Extracting Quantifiable Information from Complex Systems.' This volume presents a comprehensive overview of the most important re…sults obtained over the course of the program. Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance. Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges. Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as well as the development of new and efficient numerical algorithms were among the main goals of this Priority Program. The treatment of high-dimensional systems is clearly one of the most challenging tasks in applied mathematics today. Since the problem of high-dimensionality appears in many fields of application, the above-mentioned synergy and cross-fertilization effects were expected to make a great impact. To be truly successful, the following issues had to be kept in mind: theoretical research and practical applications had to be developed hand in hand; moreover, it has proven necessary to combine different fields of mathematics, such as numerical analysis and computational stochastics. To keep the whole program sufficiently focused, we concentrated on specific but related fields of application that share common characteristics and as such, they allowed us to use closely related approaches.
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Taschenbuch. Condizione: Neu. Extraction of Quantifiable Information from Complex Systems | Stephan Dahlke (u. a.) | Taschenbuch | Lecture Notes in Computational Science and Engineering | xix | Englisch | 2016 | Springer | EAN 9783319346014 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heide…lberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Extraction of Quantifiable Information from Complex Systems
Dahlke, Stephan (EDT); Dahmen, Wolfgang (EDT); Griebel, Michael (EDT); Hackbusch, Wolfgang (EDT); Ritter, Klaus (EDT)
Lingua: Inglese
Editore: Springer 2016
Serie: Lecture Notes in Computational Science and Engineering, Libro 77 di 111. Libro 77 di 111 - Lecture Notes in Computational Science and Engineering
- Brossura
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Extraction of Quantifiable Information from Complex Systems
Dahlke, Stephan (EDT); Dahmen, Wolfgang (EDT); Griebel, Michael (EDT); Hackbusch, Wolfgang (EDT); Ritter, Klaus (EDT)
Lingua: Inglese
Editore: Springer 2016
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- Brossura
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Condizione: New. Print on Demand pp. 451.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In April 2007, the Deutsche Forschungsgemeinschaft (DFG) approved the Priority Program 1324 'Mathematical Methods for Extracting Quantifiable Information from Complex Systems.' This volume presents a comprehensive overview of the m…ost important results obtained over the course of the program. Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance. Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges. Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as well as the development of new and efficient numerical algorithms were among the main goals of this Priority Program. The treatment of high-dimensional systems is clearly one of the most challenging tasks in applied mathematics today. Since the problem of high-dimensionality appears in many fields of application, the above-mentioned synergy and cross-fertilization effects were expected to make a great impact. To be truly successful, the following issues had to be kept in mind: theoretical research and practical applications had to be developed hand in hand; moreover, it has proven necessary to combine different fields of mathematics, such as numerical analysis and computational stochastics. To keep the whole program sufficiently focused, we concentrated on specific but related fields of application that share common characteristics and as such, they allowed us to use closely related approaches. 460 pp. Englisch.
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Editore: Springer 2016
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Condizione: New. PRINT ON DEMAND pp. 451.
Lingua: Inglese
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In April 2007, the Deutsche Forschungsgemeinschaft (DFG) approved the Priority Program 1324 ¿Mathematical Methods for Extracting Quantifiable Information from Complex Systems.¿ This volume presents a comprehensive overview of the most…important results obtained over the course of the program. Mathematical models of complex systems provide the foundation for further technological developments in science, engineering and computational finance. Motivated by the trend toward steadily increasing computer power, ever more realistic models have been developed in recent years. These models have also become increasingly complex, and their numerical treatment poses serious challenges. Recent developments in mathematics suggest that, in the long run, much more powerful numerical solution strategies could be derived if the interconnections between the different fields of research were systematically exploited at a conceptual level. Accordingly, a deeper understanding of the mathematical foundations as well as the development of new and efficient numerical algorithms were among the main goals of this Priority Program. The treatment of high-dimensional systems is clearly one of the most challenging tasks in applied mathematics today. Since the problem of high-dimensionality appears in many fields of application, the above-mentioned synergy and cross-fertilization effects were expected to make a great impact. To be truly successful, the following issues had to be kept in mind: theoretical research and practical applications had to be developed hand in hand; moreover, it has proven necessary to combine different fields of mathematics, such as numerical analysis and computational stochastics. To keep the whole program sufficiently focused, we concentrated on specific but related fields of application that share common characteristics and as such, they allowed us to use closely related approaches.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 460 pp. Englisch.
