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Dynamics of Information Systems : Algorithmic Approaches.

Auteur : Alexey Sorokin; Panos M Pardalos
Éditeur : Dordrecht : Springer, 2013.
Collection : Springer proceedings in mathematics & statistics.
Édition/format :   Livre électronique : Document : AnglaisVoir toutes les éditions et tous les formats
Base de données :WorldCat
Résumé :
Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results found by participants of the Fourth International Conference on the Dynamics of Information Systems, which took place at the University of Florida, Gainesville FL, USA on February 20-22, 2012. The purpose of this conference was to bring together scientists and engineers from industry, government, and universities to  Lire la suite...
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Détails

Genre/forme : Electronic books
Format – détails additionnels : Print version
Sorokin, Alexey
Dynamics of Information Systems : Algorithmic Approaches
Dordrecht : Springer,c2013
Type d’ouvrage : Document, Ressource Internet
Format : Ressource Internet, Fichier informatique
Tous les auteurs / collaborateurs : Alexey Sorokin; Panos M Pardalos
ISBN : 9781461475828 1461475821 1461475813 9781461475811
Numéro OCLC : 880900652
Notes : Description based upon print version of record.
Description : 1 online resource (346 p.)
Contenu : Preface; Contents; Numerical Computations with Infinite and Infinitesimal Numbers: Theory and Applications; 1 Introduction; 2 A New Computational Methodology and Accuracy of Numeral Systems; 3 A New Way of Counting and the Infinite Unit of Measure; 4 Arithmetical Operations in the New Numeral System; 4.1 Positional Numeral System with Infinite Radix; 4.2 Arithmetical Operations; 5 Examples of Problems Where Computations with New Numerals Can Be Useful; 5.1 The Work with Infinite Sequences; 5.2 From Divergent Series to Expressions Evaluated at Different Points in Infinity. 5.3 Calculating Limits and Expressing Irrational Numbers5.4 Measuring Infinite Sets with Elements Defined by Formulae; 5.5 Measuring Infinite Sets of Numerals and Their Comparison; 6 Relations to Results of Georg Cantor; 7 New Computational Possibilities for Mathematical Modelling; 7.1 Usage of Infinitesimals for Solving Systems of Linear Equations; 7.2 Applications in Probability Theory and Calculating Volumes; 8 Traditional and Blinking Fractals and Their Quantitative Analysis Using Infinite and Infinitesimal Numbers; 8.1 Blinking Fractals. 8.2 Quantitative Analysis of Traditional and Blinking Fractals9 Concepts of Continuity in Physics and Mathematics; 10 A Brief Conclusion; References; Dynamic Composition and Analysis of Modern Service-Oriented Information Systems; 1 Introduction; 2 Foundations; 2.1 IT Architecture; 2.2 Relational Logic and Alloy Analyzer; 3 Proposed Approach to Service Composition; 3.1 New Basic Principles of Composition and Modeling; 3.2 Mapping to Existing Approaches in the Realm of Business Process Modeling; 3.3 Program Services Modeling; 3.4 Template-Based Service Orchestration. 4 The Illustrative Examples4.1 EPC Mapping and Security Constraints Checking; 4.2 Service Template Specialization for WebLab Platform; 5 Conclusion; References; Estimating Customer Service Times on a Rail Networkfrom GPS Data; 1 Introduction; 2 Solution Motivation; 2.1 Fixed Geofence from Customer Geography; 2.2 Fixed Geofence from Historical Train Stop Locations; 2.3 Determining Locomotive Stops and Slows; 3 Stop Extraction; 4 Assignment of Stop Intervals to Customers; 5 Results; 6 Conclusion; References; A Risk-Averse Game-Theoretic Approach to Distributed Control; 1 Introduction. 2 Mathematical Statistics for Performance Robustness3 Problem Statements; 4 Person-by-Person Equilibrium Strategies; 5 Conclusions; References; Static Teams and Stochastic Games; 1 Introduction; 2 Analysis; 3 Static Quadratic Gaussian Team; 4 Certainty Equivalence; 4.1 Centralized QG Optimization Problem; 4.2 Separation Principle; 5 Discussion; 6 Decentralized Static Quadratic Gaussian Optimization Problem; 7 Asymmetric Players; 7.1 Asymmetric Players: Case 1; 7.2 Asymmetric Players: Case 2; 8 Conclusion; References. A Framework for Coordination in Distributed Stochastic Systems: Output Feedback and Performance Risk Aversion.
Titre de collection : Springer proceedings in mathematics & statistics.

Résumé :

Dynamics of Information Systems: Algorithmic Approaches presents recent developments and results found by participants of the Fourth International Conference on the Dynamics of Information Systems, which took place at the University of Florida, Gainesville FL, USA on February 20-22, 2012. The purpose of this conference was to bring together scientists and engineers from industry, government, and universities to exchange knowledge and results in a broad range of topics relevant to the theory and practice of the dynamics of information systems.Dynamics of Information plays an increasingly critic.

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