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SPIRES-BOOKS: FIND KEYWORD COMPUTATIONAL INTELLIGENCE *END*INIT* use /tmp/qspiwww.webspi1/9149.19 QRY 131.225.70.96 . find keyword computational intelligence ( in books using www Cover
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Call number:9783319542416:ONLINE Show nearby items on shelf
Title:Complex Networks VIII Proceedings of the 8th Conference on Complex Networks CompleNet 2017
Author(s):
Date:2017
Size:1 online resource (XIV, 262 p. 88 illus., 75 illus. in color p.)
Contents:Part I: Theory of Complex Networks -- Second-Order Assortative Mixing in Social Networks -- Network motifs detection using random networks with prescribed subgraph frequencies -- Network motifs detection using random networks with
prescribed subgraph frequencies -- Fuzzy Centrality Evaluation in Complex and Multiplex Networks -- Part II: Community Structure -- Enhancing Space-Aware Community Detection Using Degree Constrained Spatial Null Model -- Node-centric
community detection in multilayer networks with layer-coverage diversification bias -- Community Detection in Signed Networks Based on Extended Signed Modularity -- Characterising inter and intra-community interactions in link streams
using temporal motifs -- Part III: Dynamics of Networks -- Modeling the Impact of Privacy on Information Diffusion in Social Networks -- Evolution Similarity for Dynamic Link Prediction in Longitudinal Networks -- Stochastic Modeling
of the Decay Dynamics of Online Social Networks -- Part IV: Applications of Network Science -- Complex Reaction Network in Silane Plasma Chemistry -- Seeing Red: Locating People of Interest in Networks -- Understanding Subject-based
Emoji Usage using Network Science -- Characterization of Written Languages using Structural Features from Common Corpora -- Optimal Information Security Investment in Modern Social Networking -- Part V: Social Structure -- Emergence of
social balance in signed networks -- Community Detection in the Network of German Princes in 1225: a Case Study -- Comparative topological signatures of growing collaboration networks -- Part VI: Human Behavior -- Explaining changes in
physical activity through a computational model of social contagion -- Everyday the Same Picture: Popularity and Content Diversity -- Part VII: Biological Networks -- Investigating side effect modules in the interactome and their use
in drug adverse effect discovery -- Attractor Analysis of the Asynchronous Boolean Model of the Klotho Gene Regulatory Network
ISBN:9783319542416
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Artificial intelligence , Computational intelligence , Complexity, Computational , Physics , Applications of Graph Theory and Complex Networks , Computational Social Sciences , Computational Intelligence , Artificial Intelligence (incl. Robotics) , Complexity
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Call number:9783319459011:ONLINE Show nearby items on shelf
Title:First Complex Systems Digital Campus World E-Conference 2015
Author(s):
Date:2017
Size:1 online resource (VIII, 424 p. 120 illus., 96 illus. in color p.)
Contents:Welcome to CS-DC’15 -- Reconstructing multi-scale dynamics -- Machine learning methods -- A formal model to compute uncertain continuous data -- Knowledge maps -- Analysis of a Planetary Scale Scientific Collaboration Dataset Reveals
Novel Patterns -- Epistemology of integrative and predictive sciences -- Information science and the complexity: are we orientated to a transdisciplinary science? -- Synthesis of ecology, biology and ethnographic data -- Bayesian
Causalities, Mappings, and Phylogenies: A Social Science Gateway for Modeling Complexity in Ethnographic, Archaeo-, Eco- and Bio-logical Variables -- Multi-level modeling -- Statistical and dynamical properties of networks -- Community
detection as an efficient way to attack real networks -- From particles to complex matter -- Chemical garden -- Assembly of molecular metal oxides from the nano to the macroscale via chemical gardens -- Physics of complex systems --
Viscosity scaling in hydrodynamic instabilities in porous media -- A general approach to the linear stability analysis of miscible viscous fingering in porous media -- From individual to social cognition -- From individual to social
cognition: Piaget, Jung and commons -- Ecological approach of sport and sport education -- Ecological Dynamics: a theoretical framework for understanding sport performance, physical education and physical -- Emerging dance movements
under ecological constraints in Contact Improvisation dancers with different background -- Emerging collective shared behaviors from individual exploration in football small-sided games -- Adaptability in swimming pattern: how do
swimmers adapt propulsive action as a function of speed? -- Backstroke start performance prediction -- Flexible perception-action strategies for follow-the-leader coordination -- Dynamic process of pulmonary data analysis: from the
athlete mouth to the coach’s hands -- From processing units to computational ecosystems to the cloud -- A multi-agent system approach to load-balancing and resource allocation for distributed computing -- Integrative science of
education -- POEM-COPA Collaborative Open Peer Assessment -- Implications of agent-based computational modeling and simulation for preventive education in children with ADHD -- MOOC as a complex system -- From fields to territories to
the planet -- Integrative logistics -- Logistics and Territory integrative approach -- Process modeling of an international transport chain through the simulation tool SIMPROCESS -- Dynamic emissions reduction from vehicles with
technical and behavioral approach -- 4p-factories (e-lab) -- Is the Lean Organisation a complex system? -- An artificial immune ecosystem model for hybrid cloud supervision -- Engineering of territory sustainability -- Spatialisation
of Soil Erosion Susceptibility Using USLE Model -- Social patterns in multicultural environments Matrimonial patterns and trans-ethnic entities -- Economics as a complex evolutionist system -- A study of heterogeneity in a stock market
simulator based on a model of agents that learn from experience in a market with multiple stocks -- Are innovation systems complex systems? -- From molecules to ecosphere -- Ocean biogeochemical dynamics -- Frontal systems as
mechanisms of fish aggregation -- Lagrangian approach to phytoplankton mesoscale biogeography in the Kerguelen region -- Lyapunov exponents and oceanic fronts.
ISBN:9783319459011
Series:eBooks
Series:Springer eBooks
Series:Springer 2017 package
Keywords: Physics , Data mining , System theory , Computational intelligence , Complexity, Computational , Physics , Complex Systems , Complex Systems , Complexity , Data Mining and Knowledge Discovery , Computational Intelligence , Biological and Medical Physics, Biophysics
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Call number:1119214343:ONLINE Show nearby items on shelf
Title:Fundamentals of Computational Intelligence: Neural Networks, Fuzzy Systems, and Evolutionary Computation
Author(s): Keller
Date:2016
Publisher:Wiley-IEEE Press
Size:1 online resource (379 p.)
ISBN:9781119214342
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:1118337840:ONLINE Show nearby items on shelf
Title:Computational Intelligence - Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing
Author(s): Siddique
Date:2013
Publisher:Wiley
Size:1 online resource (533 p.)
ISBN:9781118337844
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Mechanical Engineering
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Call number:0470229756:ONLINE Show nearby items on shelf
Title:Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
Author(s): Jensen
Date:2008
Publisher:Wiley-IEEE Press
Size:1 online resource (341 p.)
ISBN:9780470229750
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0470105267:ONLINE Show nearby items on shelf
Title:Computational Intelligence in Bioinformatics
Author(s): Fogel
Date:2007
Publisher:Wiley-IEEE Press
Size:1 online resource (356 p.)
ISBN:9780470105269
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:0470035617:ONLINE Show nearby items on shelf
Title:Computational Intelligence - An Introduction 2e
Author(s): Engelbrecht
Date:2007
Publisher:Wiley
Size:1 online resource (629 p.)
ISBN:9780470035610
Series:eBooks
Series:Wiley Online Library
Series:Wiley 2016 package purchase
Keywords: Electrical & Electronics Engineering
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Call number:SPRINGER-2016-9783319411927:ONLINE Show nearby items on shelf
Title:Search and Optimization by Metaheuristics Techniques and Algorithms Inspired by Nature
Author(s): Ke-Lin Du
Date:2016
Size:1 online resource (40 p.)
Note:10.1007/978-3-319-41192-7
Contents:Preface -- Introduction -- Simulated Annealing -- Optimization by Recurrent Neural Networks -- Genetic Algorithms and Genetic Programming -- Evolutionary Strategies -- Differential Evolution -- Estimation of Distribution Algorithms -- Mimetic Algor ithms -- Topics in EAs -- Particle Swarm Optimization -- Artificial Immune Systems -- Ant Colony Optimization -- Tabu Search and Scatter Search -- Bee Metaheuristics -- Harmony Search -- Biomolecular Computing -- Quantum Computing -- Other Heuristics-Insp ired Optimization Methods -- Dynamic, Multimodal, and Constraint-Satisfaction Optimizations -- Multiobjective Optimization -- Appendix 1: Discrete Benchmark Functions -- Appendix 2: Test Functions -- Index
ISBN:9783319411927
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer simulation , Algorithms , Computer mathematics , Mathematical optimization , Computational intelligence , Mathematics , Computational Science and Engineering , Algorithms , Optimization , Simulation and Modeling , Computational Intelligence
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Call number:SPRINGER-2016-9783319275178:ONLINE Show nearby items on shelf
Title:Simulation-Driven Modeling and Optimization ASDOM, Reykjavik, August 2014
Author(s):
Date:2016
Edition:1st ed. 2016
Size:1 online resource (51 p.)
Note:10.1007/978-3-319-27517-8
Contents:Numerical Aspects of Model Order Reduction for Gas Transportation Networks (Grundel, S., Hornung, N. & Roggendorf, S.) -- Parameter Studies for Energy Networks with Examples from Gas Transport (Clees, T.) -- Fast Multi-Objective Aerodynamic Optimiza tion Using Space-Mapping-Corrected Multi-Fidelity Models and Kriging Interpolation (Leifsson, L. et al.) -- Assessment of Inverse and Direct Methods for Airfoil and Wing Design (Zhang, M. & Rizzi, A.W.) -- Performance Optimization of EBG-Based Common Mode Filters for Signal Integrity Applications (Orlandi, A. et al.) -- Unattended Design of Wide-Band Planar Filters using a Two-Step Aggressive Space Mapping (ASM) Optimization Algorithm (Boria, V. et al.) -- Two-Stage Gaussian Process Modeling of Microwave Structures for Design Optimization (Jacobs, J.P. & Koziel, S.) -- Efficient Reconfigurable Microstrip Patch Antenna Modeling Exploiting Knowledge Based Artificial Neural Networks (Simsek, M. & Aoad, A.) -- Expedited Simulation-Driven
Multi-Objective Design Optimization of Quasi-Isotropic Dielectric Resonator Antenna (Bekasiewicz, A. et al.) -- Optimal Design of Photonic Crystal Nanostructures (Hassan, A.-K., Rafat, N. & Mohamed, A.S.A.) -- Design Optimization of LNAs and Reflect array Antennas using the Full-Wave Simulation based Artificial Intelligence Models with the Novel Metaheuristic Algorithms (Güneş, F., Demirel, S. & Nesil, S.) -- Stochastic Decision-Making in Waste Management Using a Firefly Algorithm-Driven Simulation -Optimization Approach for Generating Alternatives (Yeomans, J.S., Imanirad, R. & Yang, X.-S.) -- Linear and Nonlinear System Identification using Evolutionary Optimisation (Worden, K. et al.) -- A Surrogate-Model-Assisted Evolutionary Algorithm for Compu tationally Expensive Design Optimization Problems with Inequality Constraints (Liu, B., Zhang, Q. & Gielen, G.) -- Sobol Indices for Dimension Adaptivity in Sparse Grids (Dwight, R.P., Desmedt, S.G.L., & Omrani, P.S.).
ISBN:9783319275178
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Springer Proceedings in Mathematics & Statistics: 153
Keywords: Mathematics , Computer mathematics , Mathematical models , Calculus of variations , Mathematics , Calculus of Variations and Optimal Control Optimization , Mathematical Modeling and Industrial Mathematics , Computational Science and Engineering
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Call number:SPRINGER-2014-9781461485797:ONLINE Show nearby items on shelf
Title:Mobile Social Networking [electronic resource] : An Innovative Approach
Author(s): Alvin Chin
Daqing Zhang
Date:2014
Publisher:New York, NY : Springer New York : Imprint: Springer
Size:1 online resource
Note:The use of contextually aware, pervasive, distributed computing, and sensor networks to bridge the gap between the physical and online worlds is the basis of mobile social networking. This book shows how applications can be builtto provide mobile soc ial networking, the research issues that need to be solved to enable this vision, and how mobile social networking can be used to provide computational intelligence that will improve daily life. With contributionsfrom the fields of sociology, computer sci ence, human-computer interaction and design, this book demonstrates how mobile social networks can be inferred from users' physical interactions both with the environment and with others, aswell as how users behave around them and how their behavior diffe rs on mobile vs. traditional online social networks
Contents:1. Introduction
2. Socially Aware Computing: Concepts, Technologies, and Practices
3. Ephemeral Social Networks
4. Social Behavior in Mobile Social Networks: Characterizing Links, Roles and Communities
5. Mobile Social Service Design for Special Context
6. Exploiting Personal and Community Context in Mobile Social Networks
7. Enhancing Mobile Social Networks with Ambient Intelligence
8. Data Analysis on Location
Based Social Networks
9. Towards Trustworthy Mobile Social Networking
10. Conclusions
ISBN:9781461485797
Series:eBooks
Series:SpringerLink
Series:Computational Social Sciences
Series:Physics and Astronomy (Springer-11651)
Keywords: Computer Communication Networks , Computer science , Engineering , Telecommunication
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Call number:SPRINGER-2012-9783642339028:ONLINE Show nearby items on shelf
Title:Morphogenetic Engineering [electronic resource] : Toward Programmable Complex Systems
Author(s): Ren Doursat
Hiroki Sayama
Olivier Michel
Date:2012
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Generally, spontaneous pattern formation phenomena are random and repetitive, whereas elaborate devices are the deterministic product of human design. Yet, biological organisms and collective insect constructions are exceptionalexamples of complex sy stems that are both self-organized and architectural. This book is the first initiative of its kind toward establishing a new field of research, Morphogenetic Engineering, to explore the modeling andimplementation of self-architecturing systems. Particul ar emphasis is placed on the programmability and computational abilities of self-organization, properties that are often underappreciated in complex systems sciencewhile,conversely, the benefits of self-organization are often underappreciated in engineeri ng methodologies. Altogether, the aim of this work is to provide a framework for and examples of a larger class of self-architecturingsystems, while addressing fundamental questions such as > How do biological organisms carry out morphogenetic tasks so reliably? > Can we extrapolate their self-formation capabilities to engineered systems? > Can physical systems beendowed with information (or informational systems be embedded in physics) so as to create autonomous morphologies and functions? > What are t he core principles and best practices for the design and engineering of such morphogeneticsystems? The intended audience consists of researchers and graduate students who are working on, starting to work on, or interested in programmable self-organizing s ystems in a wide range of scientific fields, including computerscience, robotics, bioengineering, control engineering, physics, theoretical biology, mathematics, and many others
Note:Springer eBooks
Contents:Morphogenetic Engineering: Reconciling Self
Organization and Architecture
SWARMORPH: Morphogenesis with Self
Assembling Robots
Morphogenetic Robotics: A New Paradigm for Designing Self
Organizing, Self
Reconfigurable and Self
Adaptive Robots
Distributed Autonomous Morphogenesis in a Self
Assembling Robotic System
Collective Construction with Robot Swarms
Issues in Self
Repairing Robotic Self
Assembly
Programming Self
Assembling Systems via Physically Encoded Information
Swarm
Based Morphogenetic Artificial Life
Chemotaxis
Inspired Cellular Primitives for Self
Organizing
ISBN:9783642339028
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Engineering , Artificial intelligence , Biological models
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Call number:SPRINGER-2012-9783642339011:ONLINE Show nearby items on shelf
Title:Morphogenetic Engineering [electronic resource]
Author(s): RenDoursat
Hiroki Sayama
Olivier Michel
Date:2012
Publisher:Springer Berlin Heidelberg
Size:1 online resource
Note:Monograph
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9783642339011
Series:Understanding Complex Systems
Series:e-books
Keywords: Computational Intelligence , Artificial Intelligence (incl. Robotics) , Statistical Physics, Dynamical Systems and Complexity , Systems Biology , Biophysics and Biological Physics
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Call number:SPRINGER-2012-9783642288814:ONLINE Show nearby items on shelf
Title:Self-Evolvable Systems [electronic resource]
Author(s): Octavian Iordache
Date:2012
Publisher:Springer Berlin Heidelberg
Size:1 online resource
Note:Monograph
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9783642288814
Series:Understanding Complex Systems
Series:e-books
Keywords: Complexity , Computational Intelligence , Nonlinear Dynamics
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Call number:SPRINGER-2012-9781461437734:ONLINE Show nearby items on shelf
Title:Financial Decision Making Using Computational Intelligence [electronic resource]
Author(s): Michael Doumpos
Constantin Zopounidis
Panos M Pardalos
Date:2012
Publisher:Boston, MA : Springer US : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Financial Decision Making Using Computational Intelligence covers all the recent developments in complex financial decision making through computational intelligence approaches. Computational intelligence has evolved rapidly inrecent years and it is now one of the most active fields in operations research and computer science. The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to applytraditional modeling and algorithmic procedures. In th is context, the field of computational intelligence provides a wide range of useful techniques, including new modeling tools for decision making under risk and uncertainty, datamining techniques for analyzing complex data bases, and powerful algorithms fo r complex optimization problems. This book presents the recent advances made in financial decision making using computational intelligence, covering bothnew methodological developments as well as new emerging application areas. This work covers a wide ra nge of topics related to financial decision making, financial modeling, risk management, and financial engineering, includingalgorithmic trading, financial time-series analysis, asset pricing, portfolio management, auction markets, and insurance services. Practitioners in the financial industry as well as operations researchers, management scientists, anddata analysts will find this publication highly useful
Note:Springer eBooks
Contents:Preface
List of Contributors
1. Statistically Principled Application of Computational Intelligence Techniques for Finance (J.V. Healy)
2. Can Artificial Traders Learn and Err Like Human Traders? A New Direction for Computational Intelligence in Behavioral Finance (S
H. Chen, K
C. Shih, C
C. Tai)
3. Application of Intelligent Systems for News Analytics (C. Bozic, S. Chalup, D. Seese)
4. Modelling and Trading the Greek Stock Market with Hybrid ARMA
Neural Network Models (C. L. Dunis, J. Laws, A. Karathanasopoulos)
5. Pattern Detection and Analysis in Financial Time Series Us
ISBN:9781461437734
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v70
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics
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Call number:SPRINGER-2011-9780817649043:ONLINE Show nearby items on shelf
Title:Towards an Information Theory of Complex Networks [electronic resource] : Statistical Methods and Applications
Author(s): Matthias Dehmer
Frank Emmert-Streib
Alexander Mehler
Date:2011
Edition:1
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:For over a decade, complex networks have steadily grown as an important tool across abroad array of academic disciplines, with applications ranging from physics to social media.A tightly organizedcollectionofcarefully-selected papers on the subject, Towards an Information Theory of Complex Networks: Statistical Methods and Applications presents theoretical and practical results about information-theoretic and statisticalmodels of complex networks in the natural sciences and humanities.The book'smajor goal is to advocate and promote a combination of graph-theoretic, information-theoretic, and statistical methods as a way to better understand andcharacterize real-world networks. This volume is the first to present a self-contained, comprehensive overvi ew of information-theoretic modelsof complex networks with an emphasis on applications. It begins with four chaptersdeveloping the most significant formal-theoretical issues of network modeling,butthe majority of the book is devoted tocombining theoretica l results with an empirical analysis of real networks. Specific topics include: chemicalgraph theory ecosystem interaction dynamics social ontologies language networks software systems Thiswork marks a first step toward establishing advanced statistical i nformation theory as a unified theoretical basis of complexnetworksfor allscientific disciplines. As such, itcan serve asa valuable resource foradiverse audience of advanced students and professional scientists.It is primarilyintendedas a reference for re search, but couldalso be a useful supplemental graduate text in courses related to information science, graph theory, machine learning, and computational biology, among others
Note:Springer eBooks
Contents:Preface
Entropy of Digraphs and Infinite Networks
An Information
Theoretic Upper Bound on Planar Graphs Using Well
orderly Maps
Probabilistic Inference Using Function Factorization and Divergence Minimization
Wave Localization on Complex Networks
Information
Theoretic Methods in Chemical Graph Theory
On the Development and Application of Net
Sign Graph Theory
The Central Role of Information Theory in Ecology
Inferences About Coupling from Ecological Surveillance Monitoring
Markov Entropy Centrality
Social Ontologies as Generalizedd Nearly Acyclic Directed Graphs
ISBN:9780817649043
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Coding theory , Artificial intelligence , Physiology Mathematics , Telecommunication
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Call number:SPRINGER-2009-9781848009387:ONLINE Show nearby items on shelf
Title:Game Theoretic Problems in Network Economics and Mechanism Design Solutions [electronic resource]
Author(s): Hastagiri Prakash
Ramasuri Narayanam
Dinesh Garg
Y Narahari
Date:2009
Publisher:London : Springer London
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:With the advent of the Internet and other modern information and communication technologies, a magnificent opportunity has opened up for introducing new, innovative models of commerce, markets, and business. Creating theseinnovations calls for signif icant interdisciplinary interaction among researchers in computer science, communication networks, operations research, economics, mathematics, sociology, and management science. In the emerging era of newproblems and challenges, one particular tool that has found widespread applications is mechanism design. The focus of this book is to explore game theoretic modeling and mechanism design for problem solving in Internet and networkeconomics. It provides a sound foundation of relevant concepts and theory, to help apply mechanism design to problem solving in a rigorous way
Note:Springer eBooks
Contents:From the contents Motivating Problems in Network Economics
Foundations of Mechanisms Design
Strategic Form Games
Dominant Strategy Equilibria
Pure Strategy Nash Equilibrium
Bayesian Games
Social Choice Functions
Incentive Compatibility and the Revelation Theorem
Properties of Social Choice Functions
Bayesian Implementation
Revenue Equivalence Theorem
Mechanism Design for Sponsored Search Auctions
Internet Advertising
Sponsored Search Auction
Individual Rationality
Computational Complexity
Mechanism Design for Resource Procurement in Grid Computin
ISBN:9781848009387
Series:e-books
Series:SpringerLink (Online service)
Series:Advanced Information and Knowledge Processing
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer Communication Networks , Computer science , Artificial intelligence , Social sciences Data processing
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Call number:SPRINGER-2008-9783540776574:ONLINE Show nearby items on shelf
Title:Organic Computing [electronic resource]
Author(s): Rolf P Wrtz
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Organic Computing is a research field emerging around the conviction that problems of organization in complex systems in computer science, telecommunications, neurobiology, molecular biology, ethology, and possibly even sociologycan be tackled scient ifically in a unified way. From the computer science point of view, the apparent ease in which living systems solve computationally difficult problems makes it inevitable to adopt strategies observed in nature forcreating information processing machinery. In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors includeevolution, neural networks, gene-regulatory networks, networks of bra in modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation,clustering, routing, face recognition, and sign language understanding
Note:Springer eBooks
Contents:Introduction: Organic Computing
The Organic Future of Information Technology
Systems Engineering for Organic Computing: The Challenge of Shared Design and Control between OC Systems and their Human Engineers
Controlled Emergence and Self
Organization
Organic Computing and Complex Dynamical Systems Conceptual Foundations and Interdisciplinary Perspectives
Evolutionary Design of Emergent Behavior
Genesis of Organic Computing Systems: Coupling Evolution and Learning
Organically Grown Architectures: Creating Decentralized, Autonomous Systems by Embryomorphic Engineering
ISBN:9783540776574
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Artificial intelligence , Differentiable dynamical systems , Engineering mathematics , Vibration
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Call number:SPRINGER-2008-9783540752387:ONLINE Show nearby items on shelf
Title:Brain Dynamics [electronic resource] : An Introduction to Models and Simualtions
Author(s): Hermann Haken
Date:2008
Edition:2
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Brain Dynamics serves to introduce graduate students and nonspecialists from various backgrounds to the field of mathematical and computational neurosciences. Some of the advanced chapters will also be of interest to thespecialists. The book approach es the subject through pulse-coupled neural networks, with at their core the lighthouse and integrate-and-fire models, which allow for the highly flexible modelling of realistic synaptic activity,synchronization and spatio-temporal pattern formation. Topi cs also include pulse-averaged equations and their application to movement coordination. The book closes with a short analysis of models versus the real neurophysiologicalsystem. The second edition has been thoroughly updated and augmented by two extensiv e chapters that discuss the interplay between pattern recognition and synchronization. Further, to enhance the usefulness as textbook and forself-study, the detailed solutions for all 34 exercises throughout the text have been added
Note:Springer eBooks
Contents:Basic Experimental Facts and Theoretical Tools
The Neuron Building Block of the Brain
Neuronal Cooperativity
Spikes, Phases, Noise: How to Describe Them Mathematically? We Learn a Few Tricks and Some Important Concepts
Spiking in Neural Nets
The Lighthouse Model. Two Coupled Neurons
The Lighthouse Model. Many Coupled Neurons
Integrate and Fire Models (IFM)
Many Neurons, General Case, Connection with Integrate and Fire Model
Pattern Recognition Versus Synchronization: Pattern Recognition
Pattern Recognition Versus Synchronization: Synchronization and Phase Lock
ISBN:9783540752387
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Series in Synergetics, 0172-7389
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Artificial intelligence , Mathematics , Biomedical engineering , Engineering
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Call number:SPRINGER-2008-9783540731597:ONLINE Show nearby items on shelf
Title:Lectures in Supercomputational Neurosciences [electronic resource] : Dynamics in Complex Brain Networks
Author(s): Peter beim Graben
Changsong Zhou
Marco Thiel
Jrgen Kurths
Date:2008
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Computational Neuroscience is a burgeoning field of research where only the combined effort of neuroscientists, biologists, psychologists, physicists, mathematicians, computer scientists, engineers and other specialists, e.g.from linguistics and medi cine, seem to be able to expand the limits of our knowledge. The present volume is an introduction, largely from the physicists' perspective, to the subject matter with in-depth contributions by systemneuroscientists. A conceptual model for complex networ ks of neurons is introduced that incorporates many important features of the real brain, such as various types of neurons, various brain areas, inhibitory and excitatory couplingand the plasticity of the network. The computational implementation on superc omputers, which is introduced and discussed in detail in this book, will enable the readers to modify and adapt the algortihm for their own research.Worked-out examples of applications are presented for networks of Morris-Lecar neurons to model the cortic al connections of a cat's brain, supported with data from experimental studies. This book is particularly suited for graduatestudents and nonspecialists from related fields with a general science background, looking for a substantial but hands-on introduc tion to the subject matter
Note:Springer eBooks
Contents:Neurophysiology
Foundations of Neurophysics
Synapses and Neurons: Basic Properties and Their Use in Recognizing Environmental Signals
Complex Networks
Structural Characterization of Networks Using the Cat Cortex as an Example
Organization and Function of Complex Cortical Networks
Synchronization Dynamics in Complex Networks
Synchronization Analysis of Neuronal Networks by Means of Recurrence Plots
Cognition and Higher Perception
Neural and Cognitive Modeling with Networks of Leaky Integrator Units
A Dynamic Model of the Macrocolumn
Implementations
Building a
ISBN:9783540731597
Series:e-books
Series:SpringerLink (Online service)
Series:Understanding Complex Systems, 1860-0832
Series:Physics and Astronomy (Springer-11651)
Keywords: Neurosciences , Artificial intelligence , Biomedical engineering , Engineering
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Call number:SPRINGER-2008-9780817646264:ONLINE Show nearby items on shelf
Title:Advances in Mathematical and Statistical Modeling [electronic resource]
Author(s): Roberto Minguez
Jose-Maria Sarabia
N Balakrishnan
Barry C Arnold
Date:2008
Publisher:Boston : Birkhuser Boston
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory,Bayesian networks, neur al networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized tohonor Castillo's significant contributions, thi s volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety,reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques. The book is divided into nine major sections: * Distribution Theory and Applications *Probability and Statistics * Order Statistics and Analysis * Engineering Modeling * Extreme Value Th eory * Business and Economics Applications * Statistical Methods * Applied Mathematics * Discrete Distributions This comprehensivereference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics commun ities. Practitioners, researchers, and graduate students in mathematical and statistical modeling,optimization, and computing will benefit from this work
Note:Springer eBooks
Contents:Distribution Theory and Applications
Enrique Castillos Contributions to Conditional Specification
The Polygonal Distribution
Conditionally Specified Models: New Developments and Applications
Modelling of Insurance Claim Count with Hurdle Distribution for Panel Data
Distance Based Association and Multi
Sample Tests for General Multivariate Data
Probability and Statistics
Empirical Bayes Assessment of the Hyperparameters in Bayesian
Order Statistics and Analysis
Negative Mixtures Order Statistics and Systems
Models of Ordered Data and Products of Beta Random Vari
ISBN:9780817646264
Series:e-books
Series:SpringerLink (Online service)
Series:Statistics for Industry and Technology
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Computer science , Mathematical optimization , Mathematical statistics , Economics Statistics
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Call number:SPRINGER-2008-9780387749327:ONLINE Show nearby items on shelf
Title:Feasibility and Infeasibility in Optimization [electronic resource] : Algorithms and Computational Methods
Author(s): John W Chinneck
Date:2008
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Constrained optimization models are core tools in business, science, government, and the military with applications including airline scheduling, control of petroleum refining operations, investment decisions, and many others.Constrained optimization models have grown immensely in scale and complexity in recent years as inexpensive computing power has become widely available. Models now frequently have many complicated interacting constraints, giving riseto a host of issues related to feasibility and infeasibility. For example, it is sometimes difficult to find any feasible point at all for a large model, or even to accurately determine if one exists, e.g. for nonlinear models. If themodel is feasible, how quickly can a solution be found? If the mode l is infeasible, how can the cause be isolated and diagnosed? Can a repair to restore feasibility be carried out automatically? Researchers have developed numerousalgorithms and computational methods in recent years to address such issues, with a number o f surprising spin-off applications in fields such as artificial intelligence and computational biology. Over the same time period, relatedapproaches and techniques relating to feasibility and infeasibility of constrained problems have arisen in the constr aint programming community. Feasibility and Infeasibility in Optimization is a timely expository book that summarizesthe state of the art in both classical and recent algorithms related to feasibility and infeasibility in optimization, with a focus on pra ctical methods. All model forms are covered, including linear, nonlinear, and mixed-integerprograms. Connections to related work in constraint programming are shown. Part I of the book addresses algorithms for seeking feasibility quickly, including new me thods for the difficult cases of nonlinear and mixed-integer programs.Part II provides algorithms for analyzing infeasibility by isolating minimal infeasible (or maximum feasible) subsets of constraints
Note:Springer eBooks
Contents:Seeking Feasibility
Preliminaries
Seeking Feasibility in Linear Programs
Seeking Feasibility in Mixed
Integer Linear Programs
A Brief Tour of Constraint Programming
Seeking Feasibility in Nonlinear Programs
Analyzing Infeasibility
Isolating Infeasibility
Finding the Maximum Feasible Subset of Linear Constraints
Altering Constraints to Achieve Feasibility
Applications
Other Model Analyses
Data Analysis
Miscellaneous Applications
Epilogue
ISBN:9780387749327
Series:e-books
Series:SpringerLink (Online service)
Series:International Series in Operations Research and Management Science, 0884-8289 : v118
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical optimization , Industrial engineering , Engineering economy , Econometrics
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Call number:SPRINGER-2007-9783764379889:ONLINE Show nearby items on shelf
Title:Cluster Analysis for Data Mining and System Identification [electronic resource]
Author(s): Jnos Abonyi
Balzs Feil
Date:2007
Publisher:Basel : Birkhuser Basel
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:This book presents new approaches to data mining and system identification. Algorithms that can be used for the clustering of data have been overviewed. New techniques and tools are presented for the clustering, classification,regression and visualiz ation of complex datasets. Special attention is given to the analysis of historical process data, tailored algorithms are presented for the data driven modeling of dynamical systems, determining the model orderof nonlinear input-output black box models, a nd the segmentation of multivariate time-series. The main methods and techniques are illustrated through several simulated and real-world applications from data mining and processengineering practice. The book is aimed primarily at practitioners, research es, and professionals in statistics, data mining, business intelligence, and systems engineering, but it is also accessible to graduate and undergraduatestudents in applied mathematics, computer science, electrical and process engineering. Familiarity wit h the basics of system identification and fuzzy systems is helpful but not required. Key features: - Detailed overview of the mostpowerful algorithms and approaches for data mining and system identification is presented. - Extensive references give a good overview of the current state of the application of computational intelligence in data mining and systemidentification, and suggest further reading for additional research. - Numerous illustrations to facilitate the understanding of ideas and methods pre sented. - Supporting MATLAB files, available at the websitewww.fmt.uni-pannon.hu/softcomp create a computational platform for exploration and illustration of many concepts and algorithms presented in the book
Note:Springer eBooks
Contents:Classical fuzzy cluster analysis
Visualization of the clustering results
Clustering for fuzzy model identification
Fuzzy clustering for system identification
Fuzzy model based classifiers
Segmentation of multivariate time
series
ISBN:9783764379889
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Mathematical statistics , Economics Statistics , Statistics
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Call number:SPRINGER-2007-9783540465515:ONLINE Show nearby items on shelf
Title:Algorithms for Approximation [electronic resource] : Proceedings of the 5th International Conference, Chester, July 2005
Author(s): Armin Iske
Jeremy Levesley
Date:2007
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Approximation methods are vital in many challenging applications of computational science and engineering. This is a collection of papers from world experts in a broad variety of relevant applications, including patternrecognition, machine learning, multiscale modelling of fluid flow, metrology, geometric modelling, tomography, signal and image processing. It documents recent theoretical developments which have lead to new trends in approximation, itgives important computational aspects and multidisc iplinary applications, thus making it a perfect fit for graduate students and researchers in science and engineering who wish to understand and develop numerical algorithms for thesolution of their specific problems. An important feature of the book is th at it brings together modern methods from statistics, mathematical modelling and numerical simulation for the solution of relevant problems, with a wide rangeof inherent scales. Contributions of industrial mathematicians, including representatives from Mi crosoft and Schlumberger, foster the transfer of the latest approximation methods to real-world applications
Note:Springer eBooks
Contents:Imaging and Data Mining
Ranking as Function Approximation
Two Algorithms for Approximation in Highly Complicated Planar Domains
Computational Intelligence in Clustering Algorithms, With Applications
Energy
Based Image Simplification with Nonlocal Data and Smoothness Terms
Multiscale Voice Morphing Using Radial Basis Function Analysis
Associating Families of Curves Using Feature Extraction and Cluster Analysis
Numerical Simulation
Particle Flow Simulation by Using Polyharmonic Splines
Enhancing SPH using Moving Least
Squares and Radial Basis Functions
Stepwise Calc
ISBN:9783540465515
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Computer science , Functions, special , Computer science Mathematics , Engineering mathematics
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Call number:SPRINGER-2007-9780387374529:ONLINE Show nearby items on shelf
Title:Computational Intelligence [electronic resource] : for Engineering and Manufacturing
Author(s): Diego Andina
Duc Truong Pham
Date:2007
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Unlike traditional computing, Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a selected collection of contributions on a focused treatment of important elementsof CI, centred on its key element: learning. All the contributors of this volume have direct bearing with this issue. From fundamentals to advanced systems as Multilayer Perceptron Artificial Neural Networks (ANN-MLP), Radial BasisFunction Networks (RBF) and its relations with Fuzzy Sets and Support Vector Machines theory and on to several critical applications in Engineering and Manufacturing. These are among applications where CI have excellent potential.This volume has specially taken Neural Networks, key elements of CI, to the next level. Both novice and expert readers can benefit from this timely addition to CI based literature. Towards that goal, the editors and the authors havemade critical contributions and succeeded. They have paved the road for learning paradigms tow ards the solution of many real-world problems
Note:Springer eBooks
ISBN:9780387374529
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Optical pattern recognition , Computer science , Electronics , Systems engineering
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Call number:SPRINGER-2006-9783540289746:ONLINE Show nearby items on shelf
Title:True Visions [electronic resource] : The Emergence of Ambient Intelligence
Author(s): Emile Aarts
Jos Encarnao
Date:2006
Publisher:Berlin, Heidelberg : Springer Berlin Heidelberg
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Ambient intelligence (AI) refers to a developing technology that will increasingly make our everyday environment sensitive and responsive to our presence. The AI vision requires technology invisibly embedded in our everydaysurroundings, present whene ver we need it that will lead to the seamless integration of lighting, sounds, vision, domestic appliances, and personal healthcare products to enhance our living experience. Written for the non-specialistseeking an authoritative but accessible overview o f this interdisciplinary field, True Visions explains how the devices making up the AI world will operate collectively using information and intelligence hidden in the wireless networkconnecting them. Expert contributions address key AI components such as smart materials and textiles, system architecture, mobile computing, broadband communication, and underlying issues of human-environment interactions. It seeks tounify the perspectives of scientists from diverse backgrounds ranging from the physics of ma terials to the aesthetics of industrial design as it describes the emergence of ambient intelligence, one of todays most compelling areas ofinnovation
Note:Springer eBooks
Contents:Into Ambient Intelligence
Information, Society and Technology
Ambient Culture
Smart Materials
Electronic Dust and e
Grains
Electronic Textiles
Computing Platforms
Software Platforms
Mobile Computing
Broadband Communication
e
Infrastructure and e
Science
Context Aware Services
Computational Intelligence
Social User Interfaces
Multi
modal HumanEnvironment Interaction
Intelligent Media
Smart Environments
Sensory Augmented Computing
Experience Design
Experience Research
ISBN:9783540289746
Series:e-books
Series:SpringerLink (Online service)
Series:Physics and Astronomy (Springer-11651)
Keywords: Telecommunication , Systems engineering
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Call number:SPRINGER-2006-9781402049958:ONLINE Show nearby items on shelf
Title:Intelligent Algorithms in Ambient and Biomedical Computing [electronic resource]
Author(s): Wim Verhaegh
Emile Aarts
Jan Korst
Date:2006
Publisher:Dordrecht : Springer Netherlands
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The rapid growth in electronic systems in the past decade has boosted research in the area of computational intelligence. As it has become increasingly easy to generate, collect, transport, process, and store huge amounts of data,the role of intellig ent algorithms has become prominent in order to visualize, manipulate, retrieve, and interpret the data. For instance, intelligent search techniques have been developed to search for relevant items in hugecollections of web pages, and data mining and inte rpretation techniques play a very important role in making sense out of huge amounts of biomolecular measurements. As a result, the added value of many modern systems is no longerdetermined by hardware only, but increasingly by the intelligent software th at supports and facilitates the user in realizing his or her objectives. This book is the outcome of a series of discussions at the Philips Symposium onIntelligent Algorithms, which was held in Eindhoven in December 2004. It contains many exciting and pra ctical examples of the use of intelligent algorithms in the areas of ambient and biomedical computing. It contains topics such asbioscience computing, database design, machine consciousness, scheduling, video summarization, audio classification, semantic reasoning, machine learning, tracking & localization, secure computing, and communication
Note:Springer eBooks
Contents:Part I Healthcare
1. Bioscience Computing and the Role of Computational Simulation in Biology
2. The Many Strands of DNA Computing
3. Bio
Inspired Data Management
4. An Introduction to Machine Consciousness
Part II Lifestyle
5. Optimal Selection of TV Shows for Watching and Recording
6. Movie
in
a
Minute: Automatically Generated Video Previews
7. Features for Audio Classification: Percussiveness References
8. Extracting the Key from Music
9. Approximate Semantic Matching of Music Classes on the Internet
10. Ontology
Based Information Extraction from the World Wid
ISBN:9781402049958
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Multimedia systems , Artificial intelligence , Biology Data processing , Algorithms
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Call number:SPRINGER-2006-9780387368962:ONLINE Show nearby items on shelf
Title:Differential Evolution [electronic resource] : In Search of Solutions
Author(s): Vitaliy Feoktistov
Date:2006
Publisher:Boston, MA : Springer US
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:The human being aspires to the best possible performance. Both individuals and enterprises are looking for optimalin other words, the best possiblesolutions for situations or problems they face. Most of these problems canbe expressed in mathematical terms, and so the methods of optimization undoubtedly render a significant aid. In cases where there are many local optima intricate constraints mixed-type variables or noisy, time-dependent or otherwiseill-defined functions, the usual methods dont give s atisfactory results. Are you seeking fresh ideas or more efficient methods, or do you perhaps want to be well-informed about the latest achievements in optimization? If so, thisbook is for you. This book develops a unified insight on population-based opti mization through Differential Evolution, one of the most recent and efficient optimization algorithms. You will find, in this book, everything concerningDifferential Evolution and its application in its newest formulation. This book will be a valuable sou rce of information for a very large readership, including researchers, students and practitioners. The text may be used in a varietyof optimization courses as well. Features include: Neoteric view of Differential Evolution Unique formula of global optimiz ation The best known metaheuristics through the prism of Differential Evolution Revolutionary ideas inpopulation-based optimization Audience Differential Evolution will be of interest to students, teachers, engineers, and researchers from various fields, including computer science, applied mathematics, optimization and operationsresearch, artificial evolution and evolutionary algorithms, telecommunications, engineering design, bioinformatics and computational chemistry, chemical engineering, mechanical en gineering, electrical engineering, and physics
Note:Springer eBooks
Contents:Differential Evolution
Neoteric Differential Evolution
Strategies of Search
Exploration and Exploitation
New Performance Measures
Transversal Differential Evolution
On Analogy with Some Other Algorithms
Energetic Selection Principle
On Hybridization of Differential Evolution
Applications
End Notes
ISBN:9780387368962
Series:e-books
Series:SpringerLink (Online service)
Series:Springer Optimization and Its Applications, 1931-6828 : v5
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Artificial intelligence , Algorithms , Mathematical optimization
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Call number:SPRINGER-2006-9780387319094:ONLINE Show nearby items on shelf
Title:Evolutionary Computation for Modeling and Optimization [electronic resource]
Author(s): Daniel Ashlock
Date:2006
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text isa survey of some app lication of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It alsoincludes a methodological material on eff icient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simpleevolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biologicalmodeling, including evolutionary game theory. Advanced techniques such as cellular encoding , grammar based encoding, and graph based evolutionary algorithms are also covered. This book presents a large number of homework problems,projects, and experiments, with a goal of illustrating single aspects of evolutionary computation and comparing diff erent methods. Its readership is intended for an undergraduate or first-year graduate course in evolutionarycomputation for computer science, engineering, or other computational science students. Engineering, computer science, and applied math students wi ll find this book a useful guide to using evolutionary algorithms as a problem solvingtool
Note:Springer eBooks
Contents:An Overview of Evolutionary Computation
Designing Simple Evolutionary Algorithms
Optimizing Real
Valued Functions
Sunburn: Coevolving Strings
Small Neural Nets : Symbots
Evolving Finite State Automata
Ordered Structures
Plus
One
Recall
Store
Fitting to Data
Tartarus: Discrete Robotics
Evolving Logic Functions
ISAc List: Alternative Genetic Programming
Graph
Based Evolutionary Algorithms
Cellular Encoding
Application to Bioinformatics
ISBN:9780387319094
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Mathematics , Artificial intelligence , Bioinformatics , Algorithms
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Call number:SPRINGER-2004-9789401704793:ONLINE Show nearby items on shelf
Title:Information Dynamics in Cognitive, Psychological, Social and Anomalous Phenomena
Author(s): Andrei Khrennikov
Date:2004
Size:1 online resource (235 p.)
Note:10.1007/978-94-017-0479-3
Contents:1. Processing of Information on P-Adic Trees -- 2. Hierarchy of Information -- 3. P-Adic Dynamical Systems -- 4. Random Processing of Information -- 5. Information Quantum Mechanics -- 6. Bohmian Mechanics on Information Spaces -- 7.
Abstract Ultrametric Information Spaces -- 8. Pathway Representation of Cognitive Information -- 9. Contextual Approach to Quantum Theory -- 10. Frequency Analysis of Foundations of Quantum Mechanics -- 11. Bohmian Mechanics for
Financial Processes -- References
ISBN:9789401704793
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Fundamental Theories of Physics, An International Book Series on The Fundamental Theories of Physics: Their Clarification, Development and Application : 138
Keywords: Mathematics , Philosophy of mind , Computer science , Artificial intelligence , Mathematical analysis , Analysis (Mathematics) , Physics , Mathematics , Analysis , Theoretical, Mathematical and Computational Physics , Artificial Intelligence (incl. Robotics) , Discrete Mathematics in Computer Science , Philosophy of Mind
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Call number:SPRINGER-2004-9783662085493:ONLINE Show nearby items on shelf
Title:Mathematics Handbook for Science and Engineering
Author(s): Lennart Råde
Date:2004
Edition:Fifth Edition
Size:1 online resource (562 p.)
Note:10.1007/978-3-662-08549-3
Contents:1 Fundamentals. Discrete Mathematics -- 2 Algebra -- 3 Geometry and Trigonometry -- 4 Linear Algebra -- 5 The Elementary Functions -- 6 Differential Calculus (one variable) -- 7 Integral Calculus -- 8 Sequences and Series -- 9
Ordinary Differential Equations (ODE) -- 10 Multidimensional Calculus -- 11 Vector Analysis -- 12 Orthogonal Series and Special Functions -- 13 Transforms -- 14 Complex Analysis -- 15 Optimization -- 16 Numerical Analysis -- 17
Probability Theory -- 18 Statistics -- 19 Miscellaneous -- Glossary of functions -- Glossary of symbols
ISBN:9783662085493
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Chemometrics , Physics , Computational intelligence , Mathematics , Mathematics, general , Computational Intelligence , Mathematical Methods in Physics , Numerical and Computational Physics , Math. Applications in Chemistry
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Call number:SPRINGER-2004-9783662073582:ONLINE Show nearby items on shelf
Title:Fuzzy Randomness Uncertainty in Civil Engineering and Computational Mechanics
Author(s): Bernd Möller
Date:2004
Size:1 online resource (336 p.)
Note:10.1007/978-3-662-07358-2
Contents:1 Introduction -- 2 Mathematical Basics for the Formal Description of Uncertainty -- 3 Description of Uncertain Structural Parameters as Fuzzy Variables -- 4 Description of Uncertain Structural Parameters as Fuzzy Random Variables --
5 Fuzzy and Fuzzy Stochastic Structural Analysis -- 6 Fuzzy Probabilistic Safety Assessment -- 7 Structural Design Based on Clustering -- References
ISBN:9783662073582
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Computational intelligence , Mechanics , Mechanics, Applied , Buildings , Building , Construction , Engineering, Architectural , Mathematics , Probability Theory and Stochastic Processes , Theoretical and Applied Mechanics , Computational Intelligence , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Building Construction
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Call number:SPRINGER-2004-9783662054505:ONLINE Show nearby items on shelf
Title:Python Scripting for Computational Science
Author(s): Hans Petter Langtangen
Date:2004
Size:1 online resource (732 p.)
Note:10.1007/978-3-662-05450-5
Contents:1 Introduction -- 2 Getting Started with Python Scripting -- 3 Basic Python -- 4 Numerical Computing in Python -- 5 Combining Python with Fortran, C, and C++ -- 6 Introduction to GUI Programming -- 7 Web Interfaces and CGI Programming
-- 8 Advanced Python -- 9 Fortran Programming with NumPy Arrays -- 10 C and C++ Programming with NumPy Arrays -- 11 More Advanced GUI Programming -- 12 Tools and Examples -- A Setting up the Required Software Environment -- A.1
Installation on Unix Systems -- A.1.1 A Suggested Directory Structure -- A.1.2 Setting Some Environment Variables -- A.1.3 Installing Tcl/Tk and Additional Modules -- A.1.4 Installing Python -- A.1.5 Installing Python Modules -- A.1.6
Installing Gnuplot -- A.1.7 Installing SWIG -- A.1.8 Summary of Environment Variables -- A.1.9 Testing the Installation of Scripting Utilities -- A.2 Installation on Windows Systems -- B Elements of Software Engineering -- B.1 Building
and Using Modules -- B.1.1 Single-File Modules -- B.1.2 Multi-File Modules -- B.1.3 Debugging and Troubleshooting -- B.2 Tools for Documenting Python Software -- B.2.1 Doc Strings -- B.2.2 Tools for Automatic Documentation -- B.3
Coding Standards -- B.3.1 Style Guide -- B.3.2 Pythonic Programming -- B.4 Verification of Scripts -- B.4.1 Automating Regression Tests -- B.4.2 Implementing a Tool for Regression Tests -- B.4.3 Writing a Test Script -- B.4.4 Verifying
Output from Numerical Computations -- B.4.5 Automatic Doc String Testing -- B.4.6 Unit Testing -- B.5 Version Control Management -- B.5.1 Getting Started with CVS -- B.5.2 Building Scripts to Simplify the Use of CVS -- B.6 Exercises
ISBN:9783662054505
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Texts in Computational Science and Engineering: 3
Keywords: Mathematics , Software engineering , Computer mathematics , Physics , Computational intelligence , Mathematics , Computational Science and Engineering , Numerical and Computational Physics , Software Engineering/Programming and Operating Systems , Computational Intelligence
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Call number:SPRINGER-2004-9783662053645:ONLINE Show nearby items on shelf
Title:Thinking in Complexity The Computational Dynamics of Matter, Mind, and Mankind
Author(s): Klaus Mainzer
Date:2004
Edition:Fourth Revised and Enlarged Edition
Size:1 online resource (456 p.)
Note:10.1007/978-3-662-05364-5
Contents:1. Introduction: From Linear to Nonlinear Thinking -- 2. Complex Systems and the Evolution of Matter -- 3. Complex Systems and the Evolution of Life -- 4. Complex Systems and the Evolution of Mind—Brain -- 5. Complex Systems and the
Evolution of Computability -- 6. Complex Systems and the Evolution of Artificial Life and Intelligence -- 7. Complex Systems and the Evolution of Human Society -- 8. Epilogue on Future, Science, and Ethics -- References -- Name Index
ISBN:9783662053645
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Philosophy , Bioinformatics , Statistical physics , Dynamical systems , Popular works , Physics , Physics, general , Philosophy, general , Bioinformatics , Statistical Physics, Dynamical Systems and Complexity , Popular Science, general
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Call number:SPRINGER-2004-9783642593390:ONLINE Show nearby items on shelf
Title:Scientific Computing with MATLAB
Author(s): Alfio Quarteroni
Date:2004
Size:1 online resource (257 p.)
Note:10.1007/978-3-642-59339-0
Contents:1. What can’t be ignored -- 1.1 Real numbers -- 1.2 Complex numbers -- 1.3 Matrices -- 1.4 Real functions -- 1.5 To err is not only human -- 1.6 A few more words about MATLAB -- 1.7 What we haven’t told you -- 1.8 Exercises -- 2.
Nonlinear equations -- 2.1 The bisection method -- 2.2 The Newton method -- 2.3 Fixed point iterations -- 2.4 What we haven’t told you -- 2.5 Exercises -- 3. Approximation of functions and data -- 3.1 Interpolation -- 3.2 Piecewise
linear interpolation -- 3.3 Approximation by spline functions -- 3.4 The least squares method -- 3.5 What we haven’t told you -- 3.6 Exercises -- 4. Numerical differentiation and integration -- 4.1 Approximation of function derivatives
-- 4.2 Numerical integration -- 4.3 Simpson adaptive formula -- 4.4 What we haven’t told you -- 4.5 Exercises -- 5. Linear systems -- 5.1 The LU factorization method -- 5.2 The technique of pivoting -- 5.3 How accurate is the LU
factorization? -- 5.4 How to solve a tridiagonal system -- 5.5 Iterative methods -- 5.5.1 How to construct an iterative method -- 5.6 When should an iterative method be stopped? -- 5.7 Richardson method -- 5.8 What we haven’t told you
-- 5.9 Exercises -- 6. Eigenvalues and eigenvectors -- 6.1 The power method -- 6.2 Generalization of the power method -- 6.3 How to compute the shift -- 6.4 Computation of all the eigenvalues -- 6.5 What we haven’t told you -- 6.6
Exercises -- 7. Ordinary differential equations -- 7.1 The Cauchy problem -- 7.2 Euler methods -- 7.3 The Crank-Nicolson method -- 7.4 Zero-stability -- 7.5 Stability on unbounded intervals -- 7.6 High order methods -- 7.7 The
predictor-corrector methods -- 7.8 Systems of differential equations -- 7.9 What we haven’t told you -- 7.10 Exercises -- 8. Numerical methods for boundary-value problems -- 8.1 Approximation of boundary-value problems -- 8.2 Finite
differences in 2 dimensions -- 8.3 What we haven’t told you -- 8.4 Exercises -- 9. Solutions of the exercises -- 9.1 Chapter 1 -- 9.2 Chapter 2 -- 9.3 Chapter 3 -- 9.4 Chapter 4 -- 9.5 Chapter 5 -- 9.6 Chapter 6 -- 9.7 Chapter 7 -- 9.8
Chapter 8 -- Index of MATLAB Programs
ISBN:9783642593390
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Texts in Computational Science and Engineering: 2
Keywords: Mathematics , Chemistry, Physical and theoretical , Computer mathematics , Visualization , Physics , Computational intelligence , Mathematics , Computational Science and Engineering , Numerical and Computational Physics , Computational Intelligence , Theoretical and Computational Chemistry , Visualization
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Call number:SPRINGER-2004-9783642187094:ONLINE Show nearby items on shelf
Title:Mathematical and Computational Modeling and Simulation Fundamentals and Case Studies
Author(s): Dietmar P. F Moeller
Date:2004
Size:1 online resource (422 p.)
Note:10.1007/978-3-642-18709-4
Contents:1 Modeling Continuous-Time and Discrete-Time Systems -- 1.1 Introduction -- 1.2 Modeling Formalisms -- 1.3 System Elements and Models of Continuous-Time Systems -- 1.4 Block Diagram-based Algebraic Representation of Systems -- 1.5
Basic Principles of Discrete-Time Systems -- 1.6 Model Validation -- 1.7 References and Further Reading -- 1.8 Exercises -- 2 Mathematical Description of Continuous-Time Systems -- 2.1 Introduction -- 2.2 Controllability,
Observability, and Identifiability -- 2.3 Time Domain Solution of the Linear State Equation System -- 2.4 Solution of the State Equation using the Laplace Transform -- 2.5 Eigenvalues of the Linear Vector-Equation Systems* -- 2.6
Stability Analysis* -- 2.7 First-Order Linear State-Equation Models -- 2.8 Second-Order Linear State-Equation Models -- 2.9 Higher-Order Linear State-Space Models* -- 2.10 Nonlinear State-Space Models* -- 2.11 References and Further
Reading -- 2.12 Exercises -- 3 Mathematical Description of Discrete-Time Systems -- 3.1 Introduction -- 3.2 Statistical Models in Discrete-Time Systems -- 3.3 Discrete-Event Simulation of Queuing systems -- 3.4 Petri-Nets -- 3.5
Discrete-Event Simulation of Parallel Systems -- 3.6 References and Further Reading -- 3.7 Exercises -- 4 Simulation Sofware for Computational Modeling and Simulation -- 4.1 Introduction -- 4.2 Digital Simulation Systems -- 4.3
Simulation Software for Continuous-Time Systems -- 4.4 Discrete-Time System Simulation Software* -- 4.5 Multi-Domain Simulation Software for Large-Scale Systems* -- 4.6 Simulation Software for Mixed-Mode Circuits* -- 4.7 Combined
Simulation Software -- 4.8 Checklist for the Selection of Simulation Software -- 4.9 References and Further Reading -- 4.10 Exercises -- 4.11 Case Study Examples -- 5 Parameter Identification of Dynamic Systems -- 5.1 Introduction --
5.2 Mathematical Notation of the Identification Task -- 5.3 Identification Task -- 5.4 Output-Error Least Squares Method* -- 5.5 Equation-Error Least Squares Method* -- 5.6 Consistency of the Parameter Estimates* -- 5.7 Consistency
Modifications of the Equation-Error Method* -- 5.8 Identifiability* -- 5.9 System Input Properties* -- 5.10 Parameter Identification of the Cardiovascular System* -- 5.11 Error-Functional Minimization by Gradient Methods* -- 5.12
Error-Functional Minimization by Direct Search Methods* -- 5.13 Identifiability and the Output-Error Least Squares Method* -- 5.14 References and Further Reading -- 5.15 Exercises -- 6 Soft-Computing Methods -- 6.1 Introduction -- 6.2
Fuzzy Logic -- 6.3 Neural Nets* -- 6.4 References and Further Reading -- 6.5 Exercises -- 7 Distributed Simulation -- 7.1 Introduction -- 7.2 Distributed Simulation of Traffic and Transportation -- 7.3 Introduction into HLA* -- 7.4
References and Further Reading -- 7.5 Exercises -- 8 Virtual Reality -- 8.1 Introduction -- 8.2 Virtual Reality applied to Medicine -- 8.3 Virtual Reality in Geo Science* -- 8.4 DDSim Prototyping Tool for Autonomous Robots -- 8.5
References and Further Reading -- 8.6 Exercises -- Appendix A -- Numeric Integration -- Single-Step Formulae -- Multi-Step Formulae -- Appendix B -- Laplace Transform -- Appendix C -- Online Resources
ISBN:9783642187094
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer simulation , Applied mathematics , Engineering mathematics , Computational intelligence , Control engineering , Robotics , Mechatronics , Mathematics , Applications of Mathematics , Control, Robotics, Mechatronics , Simulation and Modeling , Computational Intelligence
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Call number:SPRINGER-2004-9783642186820:ONLINE Show nearby items on shelf
Title:Large Eddy Simulation of Turbulent Incompressible Flows Analytical and Numerical Results for a Class of LES Models
Author(s): Volker John
Date:2004
Size:1 online resource (261 p.)
Note:10.1007/978-3-642-18682-0
Contents:1 Introduction -- 1.1 Short Remarks on the Nature and Importance of Turbulent Flows -- 1.2 Remarks on the Direct Numerical Simulation (DNS) and the k — ? Model -- 1.3 Large Eddy Simulation (LES) -- 1.4 Contents of this Monograph -- 2
Mathematical Tools and Basic Notations -- 2.1 Function Spaces -- 2.2 Some Tools from Analysis and Functional Analysis -- 2.3 Convolution and Fourier Transform -- 2.4 Notations for Matrix-Vector Operations -- 3 The Space Averaged
Navier-Stokes Equations and the Commutation Error -- 3.1 The Incompressible Navier-Stokes Equations -- 3.2 The Space Averaged Navier-Stokes Equations in the Case ? = ?d -- 3.3 The Space Averaged Navier-Stokes Equations in a Bounded
Domain -- 3.4 The Gaussian Filter -- 3.5 Error Estimate of the Commutation Error Term in the Lp (?d) Norm -- 3.6 Error Estimate of the Commutation Error Term in the H-1 (?) Norm -- 3.7 Error Estimate for a Weak Form of the Commutation
Error -- 4 LES Models Which are Based on Approximations in Wave Number Space -- 4.1 Eddy Viscosity Models -- 4.2 Modelling of the Large Scale and Cross Terms -- 4.3 Models for the Subgrid Scale Term -- 5 The Variational Formulation of
the LES Models -- 5.1 The Weak Formulation of the Equations -- 5.2 Boundary Conditions for the LES Models -- 5.3 Function Spaces for the LES Models -- 6 Existence and Uniqueness of Solutions of the LES Models -- 6.1 The Smagorinsky
Model -- 6.2 The Taylor LES Model -- 6.3 The Rational LES Model -- 7 Discretisation of the LES Models -- 7.1 Discretisation in Time by the Crank-Nicolson or the Fractional-Step ?-Scheme -- 7.2 The Variational Formulation and the
Linearisation of the Time-Discrete Problem -- 7.3 The Discretisation in Space -- 7.4 Inf-Sup Stable Pairs of Finite Element Spaces -- 7.5 The Upwind Stabilisation for Lowest Order Non-Conforming Finite Elements -- 7.6 The
Implementation of the Slip With Friction and Penetration With Resistance Boundary Condition -- 7.7 The Discretisation of the Auxiliary Problem in the Rational LES Model -- 7.8 The Computation of the Convolution in the Rational LES
Model -- 7.9 The Evaluation of Integrals, Numerical Quadrature -- 8 Error Analysis of Finite Element Discretisations of the LES Models -- 8.1 The Smagorinsky Model -- 8.2 The Taylor LES Model -- 9 The Solution of the Linear Systems --
9.1 The Fixed Point Iteration for the Solution of Linear Systems -- 9.2 Flexible GMRES (FGMRES) With Restart -- 9.3 The Coupled Multigrid Method -- 9.4 The Solution of the Auxiliary Problem in the Rational LES Model -- 10 A Numerical
Study of a Necessary Condition for the Acceptability of LES Models -- 10.1 The Flow Through a Channel -- 10.2 The Failure of the Taylor LES Model -- 10.3 The Rational LES Model -- 10.4 Summary -- 11 A Numerical Study of the
Approximation of Space Averaged Flow Fields by the Considered LES Models -- 11.1 A Mixing Layer Problem in Two Dimensions -- 11.2 A Mixing Layer Problem in Three Dimensions -- 12 Problems for Further Investigations -- 13 Notations --
References
ISBN:9783642186820
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Computational Science and Engineering: 34
Keywords: Engineering , Computer mathematics , Numerical analysis , Computational intelligence , Fluid mechanics , Engineering , Engineering Fluid Dynamics , Computational Mathematics and Numerical Analysis , Computational Science and Engineering , Computational Intelligence , Numerical Analysis
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Call number:SPRINGER-2004-9783642185861:ONLINE Show nearby items on shelf
Title:Dreams of Calculus Perspectives on Mathematics Education
Author(s): Johan Hoffman
Date:2004
Size:1 online resource (162 p.)
Note:10.1007/978-3-642-18586-1
Contents:I Perspectives -- 1 Introduction -- 2 What? How? For Whom? Why? -- 3 A Brief History of Mathematics Education -- 4 What is Mathematics? -- 5 Virtual Reality and the Matrix -- 6 Mountain Climbing -- 7 Scientific Revolutions -- 8
Education is Based on Science -- 9 The Unreasonable Effectiveness of Mathematics the Natural Sciences? -- 10 Do We live in “The Best of Worlds”? -- 11 The Reasonable Effectiveness Computational Mathematics -- 12 Jazz/Pop/Folk vs.
Classical Music -- 13 The Right to Not Know -- 14 An Agenda -- II Essence -- 15 A Very Short Calculus Course -- 16 The Solar System -- 17 Turbulence and the Clay Prize -- 18 Do Mathematicians Quarrel? -- III Appendix -- A Comments on
the Directives of the Mathematics Delegation -- A.1 The Directives -- A.2 Comments -- A.3 A Sum Up -- B Preface to Body&Soul -- C Public Debate
ISBN:9783642185861
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Mathematical analysis , Analysis (Mathematics) , Computer mathematics , Physics , Computational intelligence , Mathematics , Mathematics, general , Analysis , Computational Mathematics and Numerical Analysis , Mathematical Methods in Physics , Computational Intelligence
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Call number:SPRINGER-2004-9783642185601:ONLINE Show nearby items on shelf
Title:Conjugate Gradient Algorithms and Finite Element Methods
Author(s):
Date:2004
Size:1 online resource (384 p.)
Note:10.1007/978-3-642-18560-1
Contents:The founders of the conjugate gradient method -- Conjugate gradients and finite elements — a golden jubilee -- Geometric interpretations of conjugate gradient and related methods -- The convergence of Krylov methods and Ritz values --
An application of the Shermann-Morrison formula to the GMRES method -- A parallel CG solver based on domain decomposition and non-smooth aggregation -- Deflation in preconditioned conjugate gradient methods for finite element problems
-- Nonsmooth equation method for nonlinear nonconvex optimization -- Nonstandard nonobtuse refinements of planar triangulations -- Acute versus nonobtuse tetrahedralizations -- A posteriori eror estimation of “quantities of interest”
on “quantity-adapted meshes” -- Inversion of block-tridiagonal matrices and nonnegativity preservation in the numerical solution of linear parabolic PDEs -- On the nonnegativity conservation in semidiscrete parabolic problems --
Iterative solution methods of the Maxwell equations using staggered grid spatial discretization -- Iterative solution of linear variational problems in Hilbert spaces: Some conjugate gradients success stories -- On the application of
preconditioning operators for nonlinear elliptic problems -- On a conjugate gradient/Newton/penalty method for the solution of obstacle problems. Application to the solution of an eikonal system with Dirichlet boundary conditions --
The use of bilinear rectangular elements in reconstruction of panoramic images -- Finite element discretization and iterative solution techniques for multiphase flows in gas-liquid reactors -- Implicit flux-corrected transport
algorithm for finite element simulation of the compressible Euler equations -- Application of the PCG method in solution of a nuclear reactor criticality problem
ISBN:9783642185601
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Computer mathematics , Fluids , Computational intelligence , Physics , Numerical and Computational Physics , Computational Science and Engineering , Fluid- and Aerodynamics , Computational Intelligence
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Call number:SPRINGER-2004-9783540399087:ONLINE Show nearby items on shelf
Title:Toward an International Virtual Observatory Proceedings of the ESO/ESA/NASA/NSF Conference Held at Garching, Germany, 10-14 June 2002
Author(s):
Date:2004
Size:1 online resource (344 p.)
Note:10.1007/b82981
Contents:Nineteenth and Twentieth Century Clouds-Over the Twenty-First Century Virtual Observatory.-Building the Infrastructure for the National Virtual Observatory -- An Astronomical Wide-Field Imaging System for Europe.-The Canadian Virtual
Observatory Project.-Information Hub of the Russian Virtual Observatory.-Early Virtual Science: Some Lessons for the AVO.-The Great Observatories Origins Deep Survey: A VO Test Case? -- Visualizing and Analyzing Massive Astronomical
Datasets with Partiview.-Science and the Grid.-National Virtual Observatory Architecture.-Authentication and Authorization Architecture for AstroGrid and the Virtual Observatory -- VO Activities at the Harvard-Smithsonian CfA.-The
Prototype TNG Long-Term Archive and its Interactions with the Italian GRID Project -- Federation and Fusion of Astronomical Information:Standards and Tools for the Virtual Observatories -- Data Models for the VO.-Scalable Metadata
Definition Frameworks.-Space-Time Metadata for the Virtual Observatory.-VOTable: Tabular Data for the Virtual Observatory.-A C-++ Parser for VOTables.-ASTROVIRTEL: Tools and Operations.-Towards an AVO Interoperability
Prototype.-Inter-Operability of ESA Science Archives -- The AstroGrid Pilot Programme.-Making Ground-Based Optical/Infrared Imaging Surveys VO-Compatible -- e-Star: Telescopes and Databases as a Single Information Grid.-Massive
Variability Search and Monitoring by OGLE and ASAS.-Statistical Analysis of Observed and Simulated Surveys.-Catalogue Intersection: Beyond Basic Cross Correlations.-Meeting the User Science Challenge for a Virtual Universe.-Theoretical
Astrophysics and the US-NVO Initiative.-Artificial Intelligence Tools for Data Mining in Large Astronomical Databases.-Data Mining Facility.-Automatic Detection - Extraction – Classification for a Large Number of Stellar Spectra from
Slitless Wide Field Spectroscopy. A Project for AVO.-Star-Forming Regions at High Resolution: Interferometry for Virtual Observatories.-TheAstronomical Data Warehouse.-The Real Astronomy Experience: Making the IVO Effective for
International Planetaria and Science Centers.-Enabling Outreach with Virtual Observatories -- Poster Papers: Building the MEGA Image-Subtraction Pipeline in the Era of Virtual Observatories.-Visualisation Tools for Very Large Amounts
of Data.-Laplacean Ideology for Preliminary Orbit Determination and Moving Celestial Body Identification in Virtual Epoch.-Using XML-Schema to Model Data from Present and Future Astronomical Databases.-The Virtual Observatory as a Tool
to Study Star Cluster Populations in Starburst Galaxies.-The Master Catalogue of Stars Towards the Magellanic Clouds.-UCDs: Metadata for the VO.-Applicability of Emerging Resource Discovery Standards to the VO.-The Astronomy Digital
Library and the VO.-The Digitized Hamburg Objective Prism Surveys.-Aladin in the VO Context.-Power Spectrum for the Distribution of Galaxies an the Sphere.-The World Space Observatory (WSO/UV) Archive: Requirements for Interoperation
-- A Common Data Analysis Environment: Do We Need One?.-Multiwavelength Studies of AGN.-The CCD Sky Patrols and Plate Archives.-Wide-Field X-Ray Monitoring as Data Source for Virtual Observatory.-The UDAPAC Project - Uccle Direct
Astronomical Plate Archive Centre: A New International Facility for Inherited Observations.-The Russian Virtual Observatory Portal. Convenience and Attractiveness.-IDHA Image Archive Model.-Building Interoperable NASA Archives.-iAstro:
Computational and Information Infrastructure in the Astronomical DataGrid.-PRIME: A Deep Near-Infrared Survey Project.-Practical Approach to Catalogued-Data Visualisation.-Multi-Object Spectroscopy: Automatic Extraction and Previewing
of Spectra -- The INTEGRAL Archive at the ISDC.-HyperLeda: Virtual Instruments for Extragalactic Astronomy.-A Galactic Model as a Useful Tool for Virtual Observatories.-The SolarWeb Semantic Data Model for Describing Relationships
Between Heterogeneous Solar Database
ISBN:9783540399087
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Computer organization , Computer communication systems , Data structures (Computer science) , Observations, Astronomical , Astronomy , Astrophysics , Space sciences , Physics , Astronomy, Observations and Techniques , Astrophysics and Astroparticles , Extraterrestrial Physics, Space Sciences , Computer Systems Organization and Communication Networks , Computer Communication Networks , Data Structures, Cryptology and Information Theory
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Call number:SPRINGER-2004-9781447138273:ONLINE Show nearby items on shelf
Title:Model Order Reduction Techniques with Applications in Finite Element Analysis
Author(s): Zu-Qing Qu
Date:2004
Size:1 online resource (369 p.)
Note:10.1007/978-1-4471-3827-3
Contents:1 Introduction to Dynamic Model Reduction Techniques -- 2 Finite Element Modeling -- 3 Theory of Modal Analysis -- 4 Static Condensation -- 5 Dynamic Condensation -- 6 Iterative Methods for Dynamic Condensation -- 7 Selection of
Master Degrees of Freedom -- 8 Dynamic Condensation of Nonclassically Damped Models -- 9 Application I: Model Reduction on System Level -- 10 Application II: Model Reduction on Component Level—Superelement Modeling Technique -- 11
Applications III: Modal Testing -- 12 Summary of Other Model Order Reduction Techniques
ISBN:9781447138273
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Computer simulation , Applied mathematics , Engineering mathematics , Computational intelligence , Structural mechanics , Vibration , Dynamical systems , Dynamics , Materials science , Mathematics , Applications of Mathematics , Computational Intelligence , Characterization and Evaluation of Materials , Simulation and Modeling , Structural Mechanics , Vibration, Dynamical Systems, Control
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Call number:SPRINGER-2004-9781441990525:ONLINE Show nearby items on shelf
Title:Networks of Learning Automata Techniques for Online Stochastic Optimization
Author(s): M. A. L Thathachar
Date:2004
Size:1 online resource (268 p.)
Note:10.1007/978-1-4419-9052-5
Contents:1. Introduction -- 1.1 Machine Intelligence and Learning -- 1.2 Learning Automata -- 1.3 The Finite Action Learning Automaton (FALA) -- 1.4 Some Classical Learning Algorithms -- 1.5 The Discretized Probability FALA -- 1.6 The
Continuous Action Learning Automaton (CALA) -- 1.7 The Generalized Learning Automaton (GLA) -- 1.8 The Parameterized Learning Automaton (PLA) -- 1.9 Multiautomata Systems -- 1.10 Supplementary Remarks -- 2. Games of Learning Automata
-- 2.1 Introduction -- 2.2 A Multiple Payoff Stochastic Game of Automata -- 2.3 Analysis of the Automata Game Algorithm -- 2.4 Game with Common Payoff -- 2.5 Games of FALA -- 2.6 Common Payoff Games of CALA -- 2.7 Applications -- 2.8
Discussion -- 2.9 Supplementary Remarks -- 3. Feedforward Networks -- 3.1 Introduction -- 3.2 Networks of FALA -- 3.3 The Learning Model -- 3.4 The Learning Algorithm -- 3.5 Analysis -- 3.6 Extensions -- 3.7 Convergence to the Global
Maximum -- 3.8 Networks of GLA -- 3.9 Discussion -- 3.10 Supplementary Remarks -- 4. Learning Automata for Pattern Classification -- 4.1 Introduction -- 4.2 Pattern Recognition -- 4.3 Common Payoff Game of Automata for PR -- 4.4
Automata Network for Pattern Recognition -- 4.5 Decision Tree Classifiers -- 4.6 Discussion -- 4.7 Supplementary Remarks -- 5. Parallel Operation of Learning Automata -- 5.1 Introduction -- 5.2 Parallel Operation of FALA -- 5.3
Parallel Operation of CALA -- 5.4 Parallel Pursuit Algorithm -- 5.5 General Procedure -- 5.6 Parallel Operation of Games of FALA -- 5.7 Parallel Operation of Networks of FALA -- 5.8 Discussion -- 5.9 Supplementary Remarks -- 6. Some
Recent Applications -- 6.1 Introduction -- 6.2 Supervised Learning of Perceptual Organization in Computer Vision -- 6.3 Distributed Control of Broadcast Communication Networks -- 6.4O ther Applications -- 6.5 Discussion -- Epilogue --
Appendices -- A The ODE Approach to Analysis of Learning Algorithms -- A.I Introduction -- A.2 Derivation of the ODE Approximation -- A.2.1 Assumptions -- A.2.2 Analysis -- A.3 Approximating ODEs for Some Automata Algorithms -- A.3.2
The CALA Algorithm -- A.3.3 Automata Team Algorithms -- A.4 Relaxing the Assumptions -- B Proofs of Convergence for Pursuit Algorithm -- B.1 Proof of Theorem 1.1 -- B.2 Proof of Theorem 5.7 -- C Weak Convergence and SDE Approximations
-- C.I Introduction -- C.2 Weak Convergence -- C.3 Convergence to SDE -- C.3.1 Application to Global Algorithms -- C.4 Convergence to ODE -- References
ISBN:9781441990525
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Operations research , Decision making , Computer science , Artificial intelligence , Computational linguistics , Statistical physics , Dynamical systems , Physics , Statistical Physics, Dynamical Systems and Complexity , Artificial Intelligence (incl. Robotics) , Language Translation and Linguistics , Operation Research/Decision Theory , Computer Science, general
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Call number:SPRINGER-2004-9781441989093:ONLINE Show nearby items on shelf
Title:Collectives and the Design of Complex Systems
Author(s):
Date:2004
Size:1 online resource (323 p.)
Note:10.1007/978-1-4419-8909-3
Contents:1. A Survey of Collectives -- 2. Theory of Collective Intelligence -- 3. On Learnable Mechanism Design -- 4. Asynchronous Learning in Decentralized Environments: A Game-Theoretic Approach -- 5. Competition between Adaptive Agents:
Learning and Collective Efficiency -- 6. Managing Catastrophic Changes in a Collective -- 7. Effects of Interagent Communications on the Collective -- 8. Man and Superman: Human Limitations, Innovation, and Emergence in Resource
Competition -- 9. Design Principles for the Distributed Control of Modular Self-Reconfigurable Robots -- 10. Two Paradigms for the Design of Artificial Collectives -- 11. Efficiency and Equity in Collective Systems of Interacting
Heterogeneous Agents -- 12. Selection in Coevolutionary Algorithms and the Inverse Problem -- 13. Dynamics of Large Autonomous Computational Systems -- About the Editors
ISBN:9781441989093
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Algorithms , Computers , Artificial intelligence , System theory , Mathematics , Complex Systems , Artificial Intelligence (incl. Robotics) , Algorithm Analysis and Problem Complexity , Computing Methodologies
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Call number:SPRINGER-2003-9783662097694:ONLINE Show nearby items on shelf
Title:Rigid Body Dynamics of Mechanisms 2 Applications
Author(s): Hubert Hahn
Date:2003
Size:1 online resource (665 p.)
Note:10.1007/978-3-662-09769-4
Contents:1. Introduction -- 2. Model equations in symbolic DAE and DE form -- 3. Planar models of an unconstrained rigid body -- 4. Planar models of a rigid body under absolute constraints -- 5. Planar models of two rigid bodies under
constrained motion -- 6. Spatial models of an unconstrained rigid body -- 7. Spatial models of a rigid body under constrained motion -- 8. Spatial mechanisms with several rigid bodies -- A. Appendix -- A.1 Alternative representation of
the spring and damper forces of Section 3.2 -- A.2 Auxiliary computations and results associated with the mechanism of Section 8.3 -- A.2.1 Explicit form of the constraint equations of the massless links -- A.2.2 Coefficients of the
kinematics of the electrical drives -- A.2.3 Computation of the transformation matrix of the forces of the electrical drives -- A.3 Auxiliary computations associated with the example of Section 8.4 -- A.3.2 Auxiliary computations used
in Section 8.4.9 -- References -- List of Figures
ISBN:9783662097694
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Computer mathematics , Mechanics , Statistical physics , Dynamical systems , Computational intelligence , Mechanics, Applied , Physics , Mechanics , Theoretical and Applied Mechanics , Computational Intelligence , Computational Mathematics and Numerical Analysis , Statistical Physics, Dynamical Systems and Complexity
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Call number:SPRINGER-2003-9783662058046:ONLINE Show nearby items on shelf
Title:Applied Statistics Using SPSS, STATISTICA and MATLAB
Author(s): Joaquim P Marques de Sá
Date:2003
Size:1 online resource (452 p.)
Note:10.1007/978-3-662-05804-6
Contents:1 Introduction -- 2 Presenting and Summarising the Data -- 3 Estimating Data Parameters -- 4 Parametric Tests of Hypotheses -- 5 Non-Parametric Tests of Hypotheses -- 6 Statistical Classification -- 7 Data Regression -- 8 Data
Structure Analysis -- 9 Survival Analysis -- 10 Directional Data -- Appendix A — Short Survey on Probability Theory -- A.1 Basic Notions -- A.1.1 Events and Frequencies -- A.1.2 Probability Axioms -- A.2 Conditional Probability and
Independence -- A.2.1 Conditional Probability and Intersection Rule -- A.2.2 Independent Events -- A.3 Compound Experiments -- A.4 Bayes’ Theorem -- A.5 Random Variables and Distributions -- A.5.1 Definition of Random Variable -- A.5.2
Distribution and Density Functions -- A.5.3 Transformation of a Random Variable -- A.6 Expectation, Variance and Moments -- A.6.1 Definitions and Properties -- A.6.2 Moment-Generating Function -- A.6.3 Chebyshev Theorem -- A.7 The
Binomial and Normal Distributions -- A.7.1 The Binomial Distribution -- A.7.2 The Laws of Large Numbers -- A.7.3 The Normal Distribution -- A.8 Multivariate Distributions -- A.8.1 Definitions -- A.8.2 Moments -- A.8.3 Conditional
Densities and Independence -- A.8.4 Sums of Random Variables -- A.8.5 Central Limit Theorem -- Appendix B — Distributions -- B.1 Discrete Distributions -- B.1.1 Bernoulli Distribution -- B.1.2 Uniform Distribution -- B.1.3 Geometric
Distribution -- B.1.4 Hypergeometric Distribution -- B.1.5 Binomial Distribution -- B.1.6 Multinomial Distribution -- B.1.7 Poisson Distribution -- B.2 Continuous Distributions -- B.2.1 Uniform Distribution -- B.2.2 Normal Distribution
-- B.2.3 Exponential Distribution -- B.2.4 Weibull Distribution -- 6.2.5 Gamma Distribution -- B.2.6 Beta Distribution -- B.2.7 Chi-Square Distribution -- B.2.8 Student’s t Distribution -- B.2.9 F Distribution -- B.2.10 Von Mises
Distributions -- Appendix C — Point Estimation -- C.1 Definitions -- C.2 Estimation of Mean and Variance -- Appendix D — Tables -- D.1 Binomial Distribution -- D.2 Normal Distribution -- D.4 Chi-Square Distribution -- Appendix E —
Datasets -- E.1 Breast Tissue -- E.2 Car Sale -- E.3 Cells -- E.4 Clays -- E.5 Cork Stoppers -- E.6 CTG -- E.7 Culture -- E.8 Fatigue -- E.9 FHR -- E.10 FHR-Apgar -- E.11 Firms -- E.12 Flow Rate -- E.13 Foetal Weight -- E.14 Forest
Fires -- E.15 Freshmen -- E.16 Heart Valve -- E.17 Infarct -- E.18 Joints -- E.19 Metal Firms -- E.20 Meteo -- E.21 Moulds -- E.22 Neonatal -- E.23 Programming -- E.24 Rocks -- E.25 Signal & Noise -- E.26 Soil Pollution -- E.27 Stars
-- E.28 Stock Exchange -- E.29 VCG -- E.30 Wave -- E.31 Weather -- E.32 Wines -- Appendix F — Tools -- F.1 MATLAB Functions -- F.2 Tools EXCEL File -- F.3 SCSIZE Program -- References
ISBN:9783662058046
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Probabilities , Statistics , Applied mathematics , Engineering mathematics , Computational intelligence , Complexity, Computational , Mathematics , Probability Theory and Stochastic Processes , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien , Computational Intelligence , Complexity , Appl.Mathematics/Computational Methods of Engineering
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Call number:SPRINGER-2003-9783662051894:ONLINE Show nearby items on shelf
Title:Error Estimation and Adaptive Discretization Methods in Computational Fluid Dynamics
Author(s):
Date:2003
Size:1 online resource (349 p.)
Note:10.1007/978-3-662-05189-4
Contents:Adaptive Mesh Generation -- Adjoint Error Correction for Integral Outputs -- Adaptive Finite Element Methods for Incompressible Fluid Flow -- A General Lagrangian Formulation for the Computation of A Posteriori Finite Element Bounds
-- Computable Error Estimators and Adaptive Techniques for Fluid Flow Problems -- Adaptive Finite Element Approximation of Hyperbolic Problems
ISBN:9783662051894
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Computational Science and Engineering: 25
Keywords: Mathematics , Computer mathematics , Physics , Fluids , Computational intelligence , Mathematics , Computational Mathematics and Numerical Analysis , Theoretical, Mathematical and Computational Physics , Fluid- and Aerodynamics , Computational Intelligence
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Call number:SPRINGER-2003-9783662048641:ONLINE Show nearby items on shelf
Title:Computational Contact and Impact Mechanics Fundamentals of Modeling Interfacial Phenomena in Nonlinear Finite Element Analysis
Author(s): Tod A Laursen
Date:2003
Size:1 online resource (454 p.)
Note:10.1007/978-3-662-04864-1
Contents:1 Introduction -- 2 Finite Element Formulations in Nonlinear Solid Mechanics -- 3 The Kinematically Linear Contact Problem -- 4 Continuum Mechanics of Large Deformation Contact -- 5 Finite Element Implementation of Contact Interaction
-- 6 Tribological Complexity in Interface Constitutive Models -- 7 Energy-Momentum Approaches to Impact Mechanics -- 8 Emerging Paradigms for Contact Surface Discretization -- References
ISBN:9783662048641
Series:eBooks
Series:SpringerLink (Online service)
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Keywords: Physics , Mechanics , Computational intelligence , Continuum mechanics , Physics , Mechanics , Continuum Mechanics and Mechanics of Materials , Computational Intelligence
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Call number:SPRINGER-2003-9783642558764:ONLINE Show nearby items on shelf
Title:High Performance Computing in Science and Engineering ’03 Transactions of the High Performance Computing Center Stuttgart (HLRS) 2003
Author(s):
Date:2003
Size:1 online resource (478 p.)
Note:10.1007/978-3-642-55876-4
Contents:Earth Sciences -- High-Resolution Studies of Transport Processes in the Atmospheric Boundary Layer Using the Synergy of Large Eddy Simulation and Measurements of Advanced Lidar Systems -- High Resolution Climate Change Simulation for
Central Europe -- Water on Mars -- Viscosity Stratification and a 3-D Compressible Spherical Shell Model of Mantle Evolution -- Physics -- Collisional Dynamics of Black Holes, Star Clusters and Galactic Nuclei -- Formation and
Propagation of Jets Around Compact Objects -- Large Scale Simulations of Jets in Dense and Magnetised Environments -- Crack Propagation in Icosahedral Model Quasicrystals -- Structure and Spectrum of Poly-Porphyrin -- How Do Droplets
Depend on the System Size? Droplet Condensation and Nucleation in Small Simulation Cells -- Solid State Physics -- Numerical Studies of Collective Effects in Nano-Systems -- Gas-Phase Epitaxy Grown InP(001) Surfaces From Real-Space
Finite-Difference Calculations -- Amorphous Silica at Surfaces and Interfaces: Simulation Studies -- Quantum Monte-Carlo Simulations of Correlated Bosonic and Fermionic Systems -- Ab initio Simulation of Clusters: Modeling the
Deposition Dynamics and the Catalytic Properties of PdN on MgO Surface F-Centers -- Reactive Flows -- DNS of Turbulent Premixed CO/H2/Air Flames -- Transition from Stationary to Rotating Bound States of Dissipative Solitons --
Computational Fluid Dynamics -- Investigation of the Flow Randomization Process in a Transitional Boundary Layer -- Numerical Simulation of 3D Unsteady Heat Transfer at Strongly Deformed Droplets at High Reynolds Numbers -- 3D
Simulations of Supersonic Chemically Reacting Flows -- Numerical Investigation of Semi-Turbulent Pipe Flow -- Numerical Simulation of Forced Breakup of a Liquid Jet -- The Effect of Impinging Wakes on the Boundary Layer of a
Thin-Shaped Turbine Blade -- Numerical High Lift Research II -- Prediction of the Model Deformation of a High Speed Transport Aircraft Type Wing by Direct Aeroelastic Simulation -- Rayleigh-Bénard Convection at Large Aspect Ratios --
Chemistry -- Quantum Chemical Calculations of Transition Metal Complexes -- Quantum Mechanical Studies of Boron Clustering in Silicon -- Protonation States of Methionine Aminopeptidase Studied by QM/MM Car-Parrinello Molecular Dynamics
Simulations -- Molecular Transport Through Single Molecules -- Computer Science -- Towards a Holistic Understanding of the Human Genome by Determination and Integration of Its Sequential and Three-Dimensional Organization -- Efficient
and Object-Oriented Libraries for Particle Simulations -- SKaMPI — Including More Complex Communication Patterns -- Performance Analysis Using the PARbench Benchmark System
ISBN:9783642558764
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Chemoinformatics , Computer science , Computer mathematics , Physics , Computational intelligence , Fluid mechanics , Mathematics , Computational Mathematics and Numerical Analysis , Numerical and Computational Physics , Computer Applications in Chemistry , Discrete Mathematics in Computer Science , Computational Intelligence , Engineering Fluid Dynamics
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Call number:SPRINGER-2003-9783642557699:ONLINE Show nearby items on shelf
Title:Computational Partial Differential Equations Numerical Methods and Diffpack Programming
Author(s): Hans Petter Langtangen
Date:2003
Edition:Second Edition
Size:1 online resource (862 p.)
Note:10.1007/978-3-642-55769-9
Contents:1 Getting Started -- 1.1 The First Diffpack Encounter -- 1.2 Overview of Application Examples -- 1.3 Steady One-Dimensional Heat Conduction -- 1.5 Projects -- 1.6 About Programming with Objects -- 1.7 Coding the PDE Simulator as a
Class -- 1.8 Projects -- 2 Introduction to Finite Element Discretization -- 2.1 Weighted Residual Methods -- 2.2 Time Dependent Problems -- 2.3 Finite Elements in One Space Dimension -- 2.4 Example: A ID Wave Equation -- 2.5 Naive
Implementation -- 2.6 Projects -- 2.7 Higher-Dimensional Finite Elements -- 2.8 Calculation of Derivatives -- 2.9 Convection-Diffusion Equations -- 2.10 Analysis of the Finite Element Method -- 3 Programming of Finite Element Solvers
-- 3.1 A Simple Program for the Poisson Equation -- 3.2 Increasing the Flexibility -- 3.3 Some Visualization Tools -- 3.4 Some Useful Diffpack Features -- 3.5 Introducing More Flexibility -- 3.6 Step-by-Step Development of a Diffpack
Solver -- 3.7 Adaptive Grids -- 3.8 Projects -- 3.9 A Convection-Diffusion Solver -- 3.10 A Heat Equation Solver -- 3.11 A More Flexible Heat Equation Solver -- 3.12 Visualization of Time-Dependent Fields -- 3.13 A Transient Heat
Transfer Application -- 3.14 Projects -- 3.15 Efficient Solution of the Wave Equation -- 4 Nonlinear Problems -- 4.1 Discretization and Solution of Nonlinear PDEs -- 4.2 Software Tools for Nonlinear Finite Element Problems -- 4.3
Projects -- 5 Solid Mechanics Applications -- 5.1 Linear Thermo-Elasticity -- 5.2 Elasto-Viscoplasticity -- 6 Fluid Mechanics Applications -- 6.1 Convection-Diffusion Equations -- 6.2 Shallow Water Equations -- 6.3 An Implicit Finite
Element Navier-Stokes Solver -- 6.4 A Classical Finite Difference Navier-Stokes Solver -- 6.5 A Fast Finite Element Navier-Stokes Solver -- 6.6 Projects -- 7 Coupled Problems -- 7.1 Fluid-Structure Interaction Squeeze-Film Damping --
7.2 Fluid Flow and Heat Conduction in Pipes -- 7.3 Projects -- B.7 Optimizing Diffpack Codes -- A Mathematical Topics -- A.1 Scaling and Dimensionless Variables -- A.2 Indicial Notation -- A.3 Compact Notation for Difference Equations
-- A.4 Stability and Accuracy of Difference Approximations -- A.4.1 Typical Solutions of Simple Prototype PDEs -- A.4.2 Physical Significance of Parameters in the Solution -- A.4.3 Analytical Dispersion Relations -- A.4.4 Solution of
Discrete Equations -- A.4.5 Numerical Dispersion Relations -- A.4.6 Convergence -- A.4.7 Stability -- A.4.8 Accuracy -- A.4.9 Truncation Error -- A.4.10 Traditional von Neumann Stability Analysis -- A.4.11 Examples: Analysis of the
Heat Equation -- A.5 Exploring the Nature of Some PDEs -- A.5.1 A Hyperbolic Equation -- A.5.2 An Elliptic Equation -- A.5.3 A Parabolic Equation -- A.5.4 The Laplace Equation Solved by a Wave Simulator -- A.5.5 Well-Posed Problems --
B Diffpack Topics -- B.1 Brief Overview of Important Diffpack Classes -- B.2 Diffpack-Related Operating System Interaction -- B.2.1 Unix -- B.2.2 Windows -- B.3 Combining Diffpack with Other Types of Software -- B.3.1 Calling Other
Software Packages from Diffpack -- B.3.2 Calling Diffpack from Other Types of Software -- B.4. Basic Diffpack Features -- B.4.1 Diffpack Man Pages -- B.4.2 Standard Command-Line Options -- B.4.3 Generalized Input and Output -- B.4.4
Automatic Verification of a Code -- B.5 Visualization Support -- B.5.1 Curves -- B.5.2 Scalar and Vector Fields -- B.6 Details on Finite Element Programming -- B.6.1 Basic Functions for Finite Element Assembly -- B.6.2 Using Functors
for the Integrands -- B.6.3 Integrating Quantities over the Grid or the Boundary -- B.6.4 Class Relations in the Finite Element Engine -- C Iterative Methods for Sparse Linear Systems -- C.1 Classical Iterative Methods -- C.1.1 A
General Framework -- C.1.2 Jacobi, Gauss-Seidel, SOR, and SSOR Iteration -- C.2 Conjugate Gradient-Like Iterative Methods -- C.2.1 Galerkin and Least-Squares Methods -- C.2.2 Summary of the Algorithms -- C.2.3 A Framework Based on the
Error -- C.3 Preconditioning -- C.3.1 Motivation and Basic Principles -- C.3.2 Classical Iterative Methods as Preconditioners -- C.3.3 Incomplete Factorization Preconditioners -- C.4 Multigrid and Domain Decomposition Methods -- C.4.1
Domain Decomposit ion -- C.4.2 Multigrid Methods -- D Software Tools for Solving Linear Systems -- D.1 Storing and Initializing Linear Systems -- D.1.1 Vector and Matrix Formats -- D.1.2 Detailed Matrix Examples -- D.1.3 Representation
of Linear Systems -- D.2 Programming with Linear Solvers -- D.2.1 Gaussian Elimination -- D.2.2 A Simple Demo Program -- D.2.3 A 3D Poisson Equation Solver -- D.3 Classical Iterative Methods -- D.4 Conjugate Gradient-like Methods --
D.4.1 Symmetric Systems -- D.4.2 Nonsymmetric Systems -- D.5 Preconditioning Strategies -- D.6 Convergence History and Stopping Criteria -- D.7 Example: Implicit Methods for Transient Diffusion -- D.8 High-Level Stencil Programming of
Finite Difference Schemes -- D.8.1 Finite Difference Stencils -- D.8.2 Basic Structure of a Stencil-Based Simulator -- D.8.3 Defining the Stencils
ISBN:9783642557699
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Texts in Computational Science and Engineering: 1
Keywords: Computer science , Software engineering , Computers , Mathematical analysis , Analysis (Mathematics) , Computer mathematics , Physics , Computational intelligence , Computer Science , Theory of Computation , Analysis , Software Engineering/Programming and Operating Systems , Computational Mathematics and Numerical Analysis , Computational Intelligence , Theoretical, Mathematical and Computational Physics
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Call number:SPRINGER-2003-9783642557217:ONLINE Show nearby items on shelf
Title:Exploratory Data Analysis in Empirical Research Proceedings of the 25th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Munich, March 14–16, 2001
Author(s):
Date:2003
Size:1 online resource (536 p.)
Note:10.1007/978-3-642-55721-7
Contents:1: Classification, Data Analysis and Statistics -- Sliced Inverse Regression for High-dimensional Time Series -- Symbolic Clustering of Constrained Probabilistic Data -- On Memory Requirement with Normal Symbolic Form -- On the Roles
of Galois Connections in Classification -- Mining Sets of Time Series: Description of Time Points -- Spatial Smoothing with Robust Priors in Functional MRI -- Clustering in the Presence of Outliers -- Two Models of Random Intersection
Graphs for Classification -- Classification Techniques based on Methods of Computational Intelligence -- Constrained Correspondence Analysis for Seriation in Archaeology Applied to Sagalassos Ceramic Tablewares -- The Moment
Preservation Method of Cluster Analysis -- On The General Distance Measure -- Tests for One-dimensional Nearest Neighbors Clusters -- Integration of Cluster Analysis and Visualization Techniques for Visual Data Analysis -- Bayesian
Space-time Analysis of Health Insurance Data -- On Clustering by Mixture Models -- Using Additive Conjoint Measurement in Analysis of Social Network Data -- Bayesian Latent Class Metric Conjoint Analysis — A Case Study from the
Austrian Mineral Water Market -- Diagnostics in Multivariate Data Analysis: Sensitivity Analysis for Principal Components and Canonical Correlations -- Classification of Natural Languages by Word Ordering Rule -- Combining Mental Fit
and Data Fit for Classification Rule Selection -- Bayesian Analysis of Econometric Models for Count Data: A Survey -- k-Means Clustering with Outlier Detection, Mixed Variables and Missing Values -- 2: Web Mining, Data Mining and
Computer Science -- Repeat-buying Theory and its Application for Recommender Services -- Joker — Visualization of an Object Model for a Cost Accounting Educational Software -- Data Preparation in Large Real-world Data Mining Projects:
Methods for Imputing Missing Values -- Clustering of Document Collections to Support Interactive Text Exploration -- Web Usage Mining — Languages and Algorithms -- Thesaurus Migration in Practice -- Relational Clustering for the
Analysis of Internet Newsgroups -- The Theory of On-line Learning — A Statistical Physics Approach -- A Framework for Web Usage Mining on Anonymous Logfile Data -- 3: Medicine, Biological Sciences and Health -- Knee Replacement Surgery
and Learning Effects — Data Evidence from a German Hospital -- Self-organizing Maps and its Applications in Sleep Apnea Research and Molecular Genetics -- Automated Classification of Optic Nerve Head Topography Images for Glaucoma
Screening -- Comparing Split Criteria for Constructing Survival Trees -- A Type of Bayesian Small Area Estimation for the Analysis of Cancer Mortality Data -- DEA-Benchmarks for Austrian Physicians -- Data Mining Tools for Quality
Management in Health Care -- The Effects of Simultaneous Misclassification on the Attributable Risk -- Statistical Genetics — Present and Future -- 4: Marketing, Finance and Management Science -- Market Simulation Using Bayesian
Procedures in Conjoint Analysis -- Value Based Benchmarking and Market Partitioning -- Optimization of Corporate Reorganization Portfolios based on a Genetic Algorithm -- Key Success Factors in City Marketing — Some Empirical Evidence
-- From Credit Scores to Stable Default Probabilities: A Model Based Approach -- Dimensions of Credit Risk -- Cognitive Organization of Person Attributes: Measurement Procedures and Statistical Models -- Manufacturing Branches in
Poland — A Classification Attempt -- Market-Segments of Automotive Brands: Letting Multivariate Analyses Reveal Additional Insights -- Sequence Mining in Marketing -- Portfolio Management Using Multivariate Time Series Forecasts --
Value-at-Risk for Financial Assets Determined by Moment Estimators of the Tail Index -- Keywords -- Authors
ISBN:9783642557217
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Computer science , Business , Management science , Data structures (Computer science) , Database management , Probabilities , Statistics , Economic theory , Computer Science , Database Management , Probability Theory and Stochastic Processes , Business and Management, general , Data Structures, Cryptology and Information Theory , Statistics for Business/Economics/Mathematical Finance/Insurance , Economic Theory/Quantitative Economics/Mathematical Methods
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Call number:SPRINGER-2003-9783642190148:ONLINE Show nearby items on shelf
Title:Challenges in Scientific Computing - CISC 2002 Proceedings of the Conference Challenges in Scientific Computing Berlin, October 2–5, 2002
Author(s):
Date:2003
Size:1 online resource (293 p.)
Note:10.1007/978-3-642-19014-8
Contents:Higher Order Discontinuous Galerkin Methods for Flow and Transport in Porous Media -- Macroscopic Models of Fluids with Microstructure -- The Fictitious Boundary Method for the Implicit Treatment of Dirichlet Boundary Conditions with
Applications to Incompressible Flow Simulations -- Numerical Simulation of Three Dimensional Free Surface Flows with Bubbles -- A Computational Comparison of Two FEM Solvers for Nonlinear Incompressible Flow -- Algebraic Multigrid for
Industrial Semiconductor Device Simulation -- Simulation of Microwave and Semiconductor Laser Structures Including Absorbing Boundary Conditions -- Finite Element Methods for Coupled Problems in Ferrohydrodynamics -- Iterative
Substructuring Methods for Advection — Diffusion Problems in Heterogeneous Media -- Efficient Preconditioning of Linear Systems Arising from the Discretization of Radiative Transfer Equation -- On Using Common Lisp for Scientific
Computing -- The Discontinuous Galerkin Finite Element Method for Singularly Perturbed Problems -- Black-Box Preconditioning for Mixed Formulation of Self-Adjoint Elliptic PDEs -- Author Index
ISBN:9783642190148
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:Lecture Notes in Computational Science and Engineering: 35
Keywords: Mathematics , Partial differential equations , Computer mathematics , Computational intelligence , Fluid mechanics , Mathematics , Computational Mathematics and Numerical Analysis , Computational Science and Engineering , Computational Intelligence , Engineering Fluid Dynamics , Partial Differential Equations
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