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SPIRES-BOOKS: FIND KEYWORD DATA STORAGE REPRESENTATION *END*INIT* use /tmp/qspiwww.webspi1/11693.8 QRY 131.225.70.96 . find keyword data storage representation ( in books using www Cover
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Call number:9781608071210:ONLINE Show nearby items on shelf
Title:Behavioral modeling and linearization of RF power amplifiers
Author(s): John Wood
Date:2014
Publisher:Artech House
Size:1 online resource (362 p.)
Contents:Chapter 1 Introduction -- History of Mobile Wireless Communications -- Digital Modulation -- Filters for Digital Communication Systems -- Measures for Digital Communication Signals -- RF Power Amplifiers: Linearity and Efficiency -- Harmonic Loading -- The Doherty Amplifier -- The Polar Amplifier -- High-Efficiency PA Summary -- Linearization Techniques for RF PAs -- Polar Feedback -- Cartesian Feedback -- Feedforward -- Pre-distortion -- Behavioral Modeling -- Chapter 2 Models, Modeling, and Simulation -- Data- or Measurement-Based Models -- Physically Based Models -- Equivalent Circuit Models -- Compact Models -- Behavioral Models -- Function Fitting and Function Approximation -- Model Validation -- Circuit Si mulation -- Electromagnetic Simulation -- Device Physical Simulation -- Thermal Simulation -- System Simulation -- Chapter 3 Linear Systems and Identification -- Linear System Properties -- Instantaneous and Dynamic Systems -- Time Domain or Frequency Dom ain -- Convolution Integral and Impulse Response -- State Space Representation -- Discrete Time Representation -- General Transfer Function Models -- Noise and Disturbance Signals -- General Model Structure -- model Building -- Basis Functions -- Least Sq uares Algorithm -- Error Measures -- System Identification -- Nonlinear System Identification
Chapter 4 Modeling PA Nonlinearities -- Gain Compression in the PA -- Modeling the CW Input-Output Relationship -- Phase Characteristic - AM-to-PM Behavior -- Two-Tone Analysis -- Comments on the Two-Tone Analysis -- Chapter 5 Memory Effects -- Shor t-Term Memory Effects -- Long-Term Memory Effects -- Matching Networks -- Charge Storage in the Transistor -- Thermal Effects -- Trapping of Charge -- Bias and Supply Lines -- Including Memory Effects in the Nonlinear Model -- Chapter 6 Nonlinear Dynamica l Models -- Volterra Series -- Taylor Series -- Cascade of Linear and Nonlinear Components -- The Higher-Order Kernels -- Discrete-Time Expressions for Volterra Series -- Nonlinear Feedback Model -- Wiener and Hammerstein Models -- Memory Polynomial Model -- Parallel Cascade -- Orthogonal Basis Functions -- Advanced Volterra Series Models -- Dynamic Deviation Model -- Narrowband Approximation- Baseband Volterra Models -- Techniques for Building Volterra Models of Power Amplifiers -- Data Pre-conditioning -- Model Selection -- Model Solution: Parameter Estimation -- Model Validation -- Non-Volterra Models -- Artificial Neural Networks
Chapter 7 Digital Pre-Distortion -- Pre-Distortion -- Gain and Bandwidth Concerns -- Pre-Distortion of the Digital Signal -- Digital Pre-Distortion System -- Baseband Signal Processing -- Crest Factor Reduction -- The DPD Function Block -- Adaptive Digital Pre-Distortion -- Indirect Learning DPD System -- Model Reference DPD System -- DPD Coefficient Adaption Techniques -- DPD System Implementation Details -- RF Section -- Data Converters -- Baseband Digital Signal Processing -- Chapter 8 Crest Fact or Reduction of Digital Communication Signals -- Cause of Signal Peaks -- CFR Overview -- Clip-and-Filter Approaches -- Peak Windowing -- Partial Transmit Sequence -- Tone Reservation -- Constellation Extension -- Coding -- CFR for Downlink LTE Using Phas e-Shifted Resource Blocks -- Chapter 9 RF Pre-Distortion -- RFPD vs. DPD -- Implementation -- From RF to Baseband and Back to RF -- Volterra Series Simplification -- RFPD Architecture -- Analyzing and Processing Engine -- Analog Data Path -- Technical Cha llenges and Analog Limitations -- Offsets - Impact on the Pre-distortion Signal -- Peak-to-Average Power Ratio -- Signal Expansion and Compression -- Bandwidth Expansion -- Temperature Effects -- Normalizing the CORR -- Nonlinear Operator Normalization -- SC1894 -- Carrier Aggregation -- Chapter 10 Frequency Domain Models -- Frequency Domain Nonlinear Models . Amplifier 2 Model -- P2D Model -- X-Parameters -- S-Functions Model -- The Cardiff Model
ISBN:9781608071203
Series:Artech House microwave library.
Series:Artech eBooks
Series:eBooks
Keywords: Amplifiers, Radio frequency. , Amplifiers, Radio frequency. fast
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Call number:SPRINGER-2012-9783642287497:ONLINE Show nearby items on shelf
Title:Isotope-Based Quantum Information [electronic resource]
Author(s): Vladimir G. Plekhanov
Date:2012
Publisher:Springer Berlin Heidelberg
Size:1 online resource
Note:Brief
Note:Springer 2012 Physics and Astronomy eBook collection
Note:Springer e-book platform
ISBN:9783642287497
Series:SpringerBriefs in Physics
Series:e-books
Keywords: Quantum Information Technology, Spintronics , Nuclear Physics, Heavy Ions, Hadrons , Communications Engineering, Networks , Applied and Technical Physics , Data Storage Representation
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Call number:SPRINGER-2005-9780387283937:ONLINE Show nearby items on shelf
Title:S+ Functional Data Analysis [electronic resource] : Users Manual for Windows
Author(s): Douglas B Clarkson
Chris Fraley
Charles C Gu
James O Ramsey
Date:2005
Publisher:New York, NY : Springer New York
Size:1 online resource
Note:Springer e-book platform
Note:Springer 2013 e-book collections
Note:S+Functional Data Analysis is the first commercial object oriented package for exploring, modeling, and analyzing functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation as a functionof time (or other var iable). The functions are related. The goal is to analyze a sample of functions instead of a sample of related points. FDA differs from traditional data analytic techniques in a number of ways. Functions can beevaluated at any point in their domain. Deriv atives and integrals, which may provide better information (e.g. graphical) than the original data, are easily computed and used in multivariate and other functional analytic methods. Theanalyst using S+FDA can handle irregularly spaced data or data with missing values. For large amounts of data, working with a functional representation can save storage. Moreover, S+FDA provides a variety of analytic techniques forfunctional data including linear models, generalized linear models, principal components, ca nonical correlation, principal differential analysis, and clustering. This book can be considered a companion to two other highly acclaimedbooks involving James Ramsay and Bernard Silverman: Functional Data Analysis, Second Edition (2005) and Applied Func tional Data Analysis (2002). This user's manual also provides the documentation for the S+FDA library for SPlus
Note:Springer eBooks
Contents:Basis Objects and Operations
Functional Data Objects and Operations
Linear Differential Operators and Smoothing
Functional Registration
Functional Linear Models
Functional Generalized Linear Models
Functional Principal Components
Canonical Correlation
Functional Cluster Analysis
Principal Differential Analysis
ISBN:9780387283937
Series:e-books
Series:SpringerLink (Online service)
Series:Mathematics and Statistics (Springer-11649)
Keywords: Statistics , Mathematical statistics
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Call number:SPRINGER-1998-9781461206231:ONLINE Show nearby items on shelf
Title:Numerical Linear Algebra for Applications in Statistics
Author(s): James E Gentle
Date:1998
Size:1 online resource (221 p.)
Note:10.1007/978-1-4612-0623-1
Contents:1 Computer Storage and Manipulation of Data -- 1.1 Digital Representation of Numeric Data -- 1.2 Computer Operations on Numeric Data -- 1.3 Numerical Algorithms and Analysis -- Exercises -- 2 Basic Vector/Matrix Computations -- 2.1
Notation, Definitions, and Basic Properties -- 2.2 Computer Representations and Basic Operations -- Exercises -- 3 Solution of Linear Systems -- 3.1 Gaussian Elimination -- 3.2 Matrix Factorizations -- 3.3 Iterative Methods -- 3.4
Numerical Accuracy -- 3.5 Iterative Refinement -- 3.6 Updating a Solution -- 3.7 Overdetermined Systems Least Squares -- 3.8 Other Computations for Linear Systems -- Exercises -- 4 Computation of Eigenvectors and Eigenvalues and the
Singular Value Decomposition -- 4.1 Power Method -- 4.2 Jacobi Method -- 4.3 QR Method for Eigenanalysis -- 4.4 Singular Value Decomposition -- Exercises -- 5 Software for Numerical Linear Algebra -- 5.1 Fortran and C -- 5.2
Interactive Systems for Array Manipulation -- 5.3 High-Performance Software -- 5.4 Test Data -- Exercises -- 6 Applications in Statistics -- 6.1 Fitting Linear Models with Data -- 6.2 Linear Models and Least Squares -- 6.3
Ill-Conditioning in Statistical Applications -- 6.4 Testing the Rank of a Matrix -- 6.5 Stochastic Processes -- Exercises -- Appendices -- A Notation and Definitions -- B Solutions and Hints for Selected Exercises -- Literature in
Computational Statistics -- World Wide Web, News Groups, List Servers, and Bulletin Boards -- References -- Author Index
ISBN:9781461206231
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Algebra , Matrix theory , Statistics , Mathematics , Algebra , Statistics and Computing/Statistics Programs , Linear and Multilinear Algebras, Matrix Theory
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Call number:SPRINGER-1996-9783642799990:ONLINE Show nearby items on shelf
Title:From Data to Knowledge Theoretical and Practical Aspects of Classification, Data Analysis, and Knowledge Organization
Author(s):
Date:1996
Size:1 online resource (472 p.)
Note:10.1007/978-3-642-79999-0
Contents:Plenary and Semi Plenary Presentations -- Advances in Cluster Analysis Relevant to Marketing Research -- Representation of Statistical Structures, Classification and Prediction Using Multidimensional Scaling -- Null Models in Cluster
Validation -- Classifying Space and Analysing the Consequences: Spatial Analysis of Health Data -- An Ordinal Model for Cluster Analysis — 15 Years in Retrospect -- An Overview and Recent Developments in Dual Scaling -- Gibbs Sampling
in AR Models with Random Walk Priors -- Finding the Edge of a Poisson Forest with Inside and Outside Observations: The Discriminant Analysis Point of View -- Spatial Fibre and Surface Processes — Stereologicai Estimations and
Applications -- Robustizing Mixture Analysis Using Model Weighting -- Evaluation of the First Life Table Published in 1888 in Japan -- Classification Related Results and Other Aspects of Data Analysis -- Incomplete Data Matrices and
Tests on Randomly Missing Data -- Valuations and Hierarchizations -- Recent Developments in Multimode Clustering -- Gaussian Neural Networks Applied to the Cluster Analysis Problem -- Graph-Theoretic Models for Testing the Homogeneity
of Data -- Least Squares Multidimensional Scaling with Transformed Distances -- Alternatives to Configurai Frequency Analysis -- Clustering Methods in Fuzzy Control -- The Excess Mass Approach and the Analysis of Multi-Modality -- Mode
Extraction by Multivaiue Morphology for Cluster Analysis -- On the Longest Edge of the Minimal Spanning Tree -- Detection of Blocks in a Binary Matrix — A Bayesian Approach -- Spatial Data Analysis -- Detection of Spatial
Discontinuities in Vegetation Data by a Moving Window Algorithm -- Spatial Clustering of Neurons by Hypergeometric Disjoint Statistics -- A New Approach of Regionalisation by Classifying Hydrological Quantities -- The
Index-of-Dispersion Test Revisited -- Comparing Spatio-Temporal Patterns from Defaunization Experiments in Marine Ecology -- Applications in Economics -- A Unifying Approach to Benefit Segmentation and Product Line Design Based on Rank
Order Conjoint Data -- Classification and Representation Using Conjoint Data -- Overlapping Clustering of Statistical Software Packages for PC -- Scenario Analysis with BASICS — Testing the Representativity of the Results of the
Dynamic Probability Adjustment of Scenario Components with the Help of Classification Methods -- Analysis of Sales Data: A Neural Net Approach -- Applications in Linguistics -- On the Definition of Inflection -- Computer-Aided Analysis
of Vocabulary Acquisition -- Features and Tags -- Semanticaily Based Universal Definitions of Grammatical Agreement and Agreement Domain Universals: A Critical Evaluation -- Towards a Hypermedia, Multilingual, On-Line Resource System
for LSP Users/Learners -- Applications in Medicine and Biology -- A New Methodologic Look at Describing the Performance of Diagnostic Classification Procedures in Medicine -- Xmed-DD: From Document Processing to Systematic Information
Storage -- Ribosomai RNA Phylogeny Derived from a Correlation Model of Sequence Evolution -- SALBIDH2 — Modifications of the LBI-Method for Automated Lexicon-Based Indexing of Diagnoses -- Record Linkage of Anonymous Data by Control
Numbers -- Information Systems and Knowledge Organization -- Processing Partial Information in Decision Support Systems -- Consistency Conditions for the Classification in LIS/CI -- Using Hypertext for Information Retrieval in
STEP/EXPRESS Schemata -- Two Software Tools Supporting Enduser Oriented Information Retrieval in Physics -- From Verbal Data to Practical Knowledge
ISBN:9783642799990
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Mathematics , Applied mathematics , Engineering mathematics , Probabilities , Economic theory , Mathematics , Applications of Mathematics , Economic Theory/Quantitative Economics/Mathematical Methods , Probability Theory and Stochastic Processes
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Call number:SPRINGER-1996-9781461207238:ONLINE Show nearby items on shelf
Title:Models of Neural Networks III Association, Generalization, and Representation
Author(s):
Date:1996
Size:1 online resource (311 p.)
Note:10.1007/978-1-4612-0723-8
Contents:1. Global Analysis of Recurrent Neural Networks -- 1.1 Global Analysis-Why? -- 1.2 A Framework for Neural Dynamics -- 1.3 Fixed Points -- 1.4 Periodic Limit Cycles and Beyond -- 1.5 Synchronization of Action Potentials -- 1.6
Conclusions -- References -- 2. Receptive Fields and Maps in the Visual Cortex: Models of Ocular Dominance and Orientation Columns -- 2.1 Introduction -- 2.2 Correlation-Based Models -- 2.3 The Problem of Map Structure -- 2.4 The
Computational Significance of Correlatin-Based Rules -- 2.5 Open Questions -- References -- 3. Associative Data Storage and Retrieval in Neural Networks -- 3.1 Introduction and Overview -- 3.1.1 Memory and Representation -- 3.2 Neural
Associatve Memory Models -- 3.3 Analysis of the Retrieval Process -- 3.4 Information Theory of the Memory Process -- 3.5 Model Performance -- 3.6 Discussion -- Appendix 3.1 -- Appendix 3.2 -- References -- 4. Inferences Modeled with
Neural Networks -- 4.1 Introduction -- 4.2 Model for Cognitive Systems and for Experiences -- 4.3 Inductive Inference -- 4.4 External Memory -- 4.5 Limited Use of External Memory -- 4.6 Deductive Inference -- 4.7 Conclusion --
References -- 5. Statistical Mechanics of Generalization -- 5.1 Introduction -- 5.2 General Results -- 5.3 The Perceptron -- 5.4 Geometry in Phase Space and Asymptotic Scaling -- 5.5 Applications to Perceptrons -- 5.6 Summary and
Outlook -- Appendix 5.1: Proof of Sauer’s Lemma -- Appendix 5.2: Order Parameters for ADALINE -- References -- 6. Bayesian Methods for Backpropagation Networks -- 6.1 Probability Theory and Occam’s Razor -- 6.2 Neural Networks as
Probabilistic Models -- 6.3 Setting Regularization Constants ? and ? -- 6.4 Model Comparison -- 6.5 Error Bars and Predictions -- 6.6 Pruning -- 6.7 Automatic Relevance Determination -- 6.8 Implicit Priors -- 6.9 Cheap and Cheerful
Implementations -- 6.10 Discussion -- References -- 7. Penacée: A Neural Net System for Recognizing On-Line Handwriting -- 7.1 Introduction -- 7.2 Description of the Building Blocks -- 7.3 Applications -- 7.4 Conclusion -- References
-- 8. Topology Representing Network in Robotics -- 8.1 Introduction -- 8.2 Problem Description -- 8.3 Topology Representing Network Algorithm -- 8.4 Experimental Results and Discussion -- References
ISBN:9781461207238
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Statistical physics , Dynamical systems , Physics , Statistical Physics, Dynamical Systems and Complexity
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Call number:SPRINGER-1995-9783642798146:ONLINE Show nearby items on shelf
Title:Models of Neural Networks I
Author(s):
Date:1995
Edition:Second Updated Edition
Size:1 online resource (355 p.)
Note:10.1007/978-3-642-79814-6
Contents:1. Collective Phenomena in Neural Networks -- 1.1 Introduction and Overview -- 1.2 Prerequisites -- 1.3 The Hopfield Model -- 1.4 Nonlinear Neural Networks -- 1.5 Learning, Unlearning, and Forgetting -- 1.6 Hierarchically Structured
Information -- 1.7 Outlook -- References -- 2. Information from Structure: A Sketch of Neuroanatomy -- 2.1 Development of the Brain -- 2.2 Neuroanatomy Related to Information Handling in the Brain -- 2.3 The Idea of Electronic
Circuitry -- 2.4 The Projection from the Compound Eye onto the First Ganglion (Lamina) of the Fly -- 2.5 Statistical Wiring -- 2.6 Symmetry of Neural Nets -- 2.7 The Cerebellum -- 2.8 Variations in Size of the Elements -- 2.9 The
Cerebral Cortex -- 2.10 Inborn Knowledge -- References -- 3. Storage Capacity and Learning in Ising-Spin Neural Networks -- 3.1 Introduction -- 3.2 Content-addressability: A Dynamics Problem -- 3.3 Learning -- 3.4 Discussion --
References -- 4. Dynamics of Learning -- 4.1 Introduction -- 4.2 Definition of Supervised Learning -- 4.3 Adaline Learning -- 4.4 Perceptron Learning -- 4.5 Binary Synapses -- 4.6 Basins of Attraction -- 4.7 Forgetting -- 4.8 Outlook
-- References -- 5. Hierarchical Organization of Memory -- 5.1 Introduction -- 5.2 Models: The Problem -- 5.3 A Toy Problem: Patterns with Low Activity -- 5.4 Models with Hierarchically Structured Information -- 5.5 Extensions -- 5.6
The Enhancement of Storage Capacity: Multineuron Interactions -- 5.7 Conclusion -- References -- 6. Asymmetrically Diluted Neural Networks -- 6.1 Introduction -- 6.2 Solvability and Retrieval Properties -- 6.3 Exact Solution with
Dynamic Functionals -- 6.4 Extensions and Related Work -- Appendix A -- Appendix B -- Appendix C -- References -- 7. Temporal Association -- 7.1 Introduction -- 7.2 Fast Synaptic Plasticity -- 7.3 Noise-Driven Sequences of Biased
Patterns -- 7.4 Stabilizing Sequences by Delays -- 7.5 Applications: Sequence Recognition, Counting, and the Generation of Complex Sequences -- 7.6 Hebbian Learning with Delays -- 7.7 Epilogue -- References -- 8. Self-organizing Maps
and Adaptive Filters -- 8.1 Introduction -- 8.2 Self-organizing Maps and Optimal Representation of Data -- 8.3 Learning Dynamics in the Vicinity of a Stationary State -- 8.4 Relation to Brain Modeling -- 8.5 Formation of a “Somatotopic
Map” -- 8.6 Adaptive Orientation and Spatial Frequency Filters -- 8.7 Conclusion -- References -- 9. Layered Neural Networks -- 9.1 Introduction -- 9.2 Dynamics of Feed-Forward Networks -- 9.3 Unsupervised Learning in Layered Networks
-- 9.4 Supervised Learning in Layered Networks -- 9.5 Summary and Discussion -- References -- Elizabeth Gardner-An Appreciation
ISBN:9783642798146
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Pattern recognition , Biophysics , Biological physics , Statistical physics , Dynamical systems , Physics , Statistical Physics, Dynamical Systems and Complexity , Neurosciences , Pattern Recognition , Biophysics and Biological Physics
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Call number:SPRINGER-1991-9783642971716:ONLINE Show nearby items on shelf
Title:Models of Neural Networks
Author(s):
Date:1991
Size:1 online resource (347 p.)
Note:10.1007/978-3-642-97171-6
Contents:1. Collective Phenomena in Neural Networks -- 1.1 Introduction and Overview -- 1.2 Prerequisites -- 1.3 The Hopfield Model -- 1.4 Nonlinear Neural Networks -- 1.5 Learning, Unlearning, and Forgetting -- 1.6 Hierarchically Structured
Information -- 1.7 Outlook -- References -- 2. Information from Structure: A Sketch of Neuroanatomy -- 2.1 Development of the Brain -- 2.2 Neuroanatomy Related to Information Handling in the Brain -- 2.3 The Idea of Electronic
Circuitry -- 2.4 The Projection from the Compound Eye onto the First Ganglion (Lamina) of the Fly -- 2.5 Statistical Wiring -- 2.6 Symmetry of Neural Nets -- 2.7 The Cerebellum -- 2.8 Variations in Size of the Elements -- 2.9 The
Cerebral Cortex -- 2.10 Inborn Knowledge -- References -- 3. Storage Capacity and Learning in Ising-Spin Neural Networks -- 3.1 Introduction -- 3.2 Content-addressability: A Dynamics Problem -- 3.3 Learning -- 3.4 Discussion --
References -- 4. Dynamics of Learning -- 4.1 Introduction -- 4.2 Definition of Supervised Learning -- 4.3 Adaline Learning -- 4.4 Perceptron Learning -- 4.5 Binary Synapses -- 4.6 Basins of Attraction -- 4.7 Forgetting -- 4.8 Outlook
-- References -- 5. Hierarchical Organization of Memory -- 5.1 Introduction -- 5.2 Models: The Problem -- 5.3 A Toy Problem: Patterns with Low Activity -- 5.4 Models with Hierarchically Structured Information -- 5.5 Extensions -- 5.6
The Enhancement of Storage Capacity: Multineuron Interactions -- 5.7 Conclusion -- References -- 6. Asymmetrically Diluted Neural Networks -- 6.1 Introduction -- 6.2 Solvability and Retrieval Properties -- 6.3 Exact Solution with
Dynamic Functionals -- 6.4 Extensions and Related Work -- Appendix A -- Appendix B -- Appendix C -- References -- 7. Temporal Association -- 7.1 Introduction -- 7.2 Fast Synaptic Plasticity -- 7.3 Noise-Driven Sequences of Biased
Patterns -- 7.4 Stabilizing Sequences by Delays -- 7.5 Applications: Sequence Recognition, Counting, and the Generation of Complex Sequences -- 7.6 Hebbian Learning with Delays -- 7.7 Epilogue -- Note Added in Proof -- References -- 8.
Self-organizing Maps and Adaptive Filters -- 8.1 Introduction -- 8.2 Self-organizing Maps and Optimal Representation of Data -- 8.3 Learning Dynamics in the Vicinity of a Stationary State -- 8.4 Relation to Brain Modeling -- 8.5
Formation of a “Somatotopic Map” -- 8.6 Adaptive Orientation and Spatial Frequency Filters -- 8.7 Conclusion -- References -- 9. Layered Neural Networks -- 9.1 Introduction -- 9.2 Dynamics of Feed-Forward Networks -- 9.3 Unsupervised
Learning in Layered Networks -- 9.4 Supervised Learning in Layered Networks -- 9.5 Summary and Discussion -- References -- Elizabeth Gardner — An Appreciation
ISBN:9783642971716
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Neurosciences , Pattern recognition , Thermodynamics , Biophysics , Biological physics , Statistical physics , Dynamical systems , Physics , Thermodynamics , Statistical Physics, Dynamical Systems and Complexity , Neurosciences , Pattern Recognition , Biophysics and Biological Physics
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Call number:SPRINGER-1988-9789400928893:ONLINE Show nearby items on shelf
Title:Groundwater Flow and Quality Modelling
Author(s):
Date:1988
Size:1 online resource (843 p.)
Note:10.1007/978-94-009-2889-3
Contents:I. Principles, Basic Equations and Analytical Solutions -- Review of stochastic theory of transport in groundwater flow -- On the identification of the parameters of groundwater mass transport -- Heat and mass transfer in unsaturated
porous media with application to thermal energy storage -- Basin-scale transport of dissolved species in groundwater -- Variable density fluid flow in the brackish transition zone between fresh and saline groundwater -- Stationary
principles for flow and transport in aquifers -- II. Modelling Flow and Transport in Porous-Like Media -- An overwiew of groundwater modelling -- Incorporating assurance into groundwater quality management models -- The eigenvalues
approach for solving linear groundwater flow problems -- New method for diffusive transport -- Comparison of fast equation solvers for groundwater flow problems -- Modelling flow and transport through porous media in vector computers
-- Eulerian-Lagrangian method for solving transport in aquifers -- Hydrodynamic dispersion in model porous media -- The random walk method in pollutant transport simulation -- Modeling of solute transport with the random walk method --
III. Modelling Flow and Transport in Fractured Media -- Modelling of flow through fractured rocks: geostatistical generation of fractures networks. Stress-flow relationship in fractures -- Combined seismic and hydraulic method of
modeling flow in fractured low permeability rocks -- Stochastic continuum representation of fractured rock permeability as an alternative to the REV and fracture network concepts -- Flow in three-dimensional fracture networks using a
discrete approach -- MINC: an approach for analyzing transport in strongly heterogeneous systems -- A stochastic particle transport model based on directional statistics of flow through fracture networks -- IV. Consideration of
Fluid-Solid Phase Interactions and Heterogeneities in Modelling -- Advances in modelling water-rock interaction in aquifers -- Parameters for modelling the transport of cadmium as influenced by the chemical properties of groundwater
and aquifer material -- Micro-scale modelling in the study of plume evolution in heterogeneous media -- Modelling the increasing dispersivity with FE transport models using the multilayer concept -- Random-walk method to simulate
pollutant transport in alluvial aquifers or fractured rocks -- V. Multiphase Flow and Transport Modelling -- Advances in modeling of water in the unsaturated zone -- FLuid-mechanical aspects of the migration of chemicals in fractured
media -- About the numerical analysis of dynamics in multi-component-continua -- VI. Aquifer Parameter Identification by Models -- State-of-the-art of the inverse problem applied to the flow and solute transport equations -- Estimation
of spatial covariance structures with application to hydrological, hydro-chemical and isotopic data from aquifers: state-of-the-art and adjoint state maximum likelihood cross-validation methods -- Bayesian identification of
steady-state (anisotropic) groundwater flow models -- VII. Data Gathering and Utilization of Models -- Present limitations and perspectives on modelling pollution problems in aquifers -- Advances in the assessment of data worth for
engineering decision analysis in groundwater contamination problems -- A comparative analysis of mathematical mass transport codes for groundwater pollution studies -- New approaches and applications in subsurface flow modeling: 3-D
finite element analysis of dewatering for an electro-nuclear plant -- Large scale 3-D groundwater flow modeling in highly heterogeneous geologic medium -- Gathering of data for modelling -- Present status of coastal aquifer modelling:
short review -- Conclusions -- Transport modeling -- Solution methods in groundwater flow and transport -- Transport processes in groundwater: chemical and biological aspects -- Application of models -- Author Index -- List of
Participants
ISBN:9789400928893
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Series:NATO ASI Series, Series C: Mathematical and Physical Sciences: 224
Keywords: Earth sciences , Hydrogeology , Earth Sciences , Hydrogeology
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Call number:SPRINGER-1987-9781461318811:ONLINE Show nearby items on shelf
Title:Foundations of Data Organization
Author(s):
Date:1987
Size:1 online resource (650 p.)
Note:10.1007/978-1-4613-1881-1
Contents:Databases for Advanced Applications -- Statistics Metadata: Linear Regression Analysis -- Dynamic PATRICIA -- Design of an Integrated DBMS to Support Advanced Applications -- Use of the Relational Model for Data Representation in a
Deductively Augmented Database Management System -- Hashing -- Hash-Based File Organization Utilizing Large Capacity Main Memory -- Trie Hashing: Further Properties and Performance -- The Study of A Letter Oriented Minimal Perfect
Hashing Scheme -- Consecutive Retrieval Property -- On the Relaxed Consecutive Retrieval Property in File Organization -- Consecutive Retrieval Organization as a File Allocation Scheme on Multiple Disk Systems -- TRACER: Transposed
File Organization Scheme with Consecutive Retrieval Property and Its Application to Statistical Database System -- Multiple Query Processing in Local Area Database System -- File Allocation and Distributed Databases -- Management of
Table Partitioning and Replication in a Distributed Relational Database System -- On Strict Optimality Property of Allocating Binary Cartesian Product Files on Multiple Disk Systems -- On the Complexity of File Allocation Problem -- A
Quantitative Evaluation of Scheduling Systems for the Physical Locking Scheme in a Database System -- Allocation of Documents in Two Level Memory for Information Retrieval Systems -- Mathematical File Organization and Computational
Geometry -- Further Results on Hyperclaw Decomposition and Balanced Filing Schemes -- Placing Tiles in the Plane -- Mixed-Type Multiple-Valued Filing Scheme of Order One and Two -- Space Partitioning and Its Application to Generalized
Retrieval Problems -- On Computing and Updating Triangulations -- Database Machines -- VLSI Trees for File Organization -- The Inverted File Tree Machine: Efficient Multi-Key Retrieval for VLSI -- Multidimensional Clustering Techniques
for Large Relational Database Machines -- A Method for Realistic Comparisons of Sorting Algorithms for VLSI -- Database Models -- Update Propagation in the IFO Database Model -- Computation-tuple Sequences and Object Histories:
Extended Abstract -- Projection of Object Histories -- Functional Entity Relationship Model and Update Operations (Extended Abstract) -- An Algebra for an Entity-Relationship Model and Its Application to Graphical Query Processing --
Structures and Performance of Physical Database Models -- Record-to-Area Mapping in the CODASYL Environment -- An Optimal Trie Construction Algorithm for Partial-Match Queries -- FOPES: File Organization Performance Estimation System
-- Empirical Comparison of Associative File Structures -- Hybrid Sorting Techniques in Grid Structures -- CAD/VLSI Databases -- A Model and Storage Technique for Versions of VLSI CAD Objects -- Storage and Access Structures for
Geometric Data Bases -- A Conceptual Basis for Graphics-Based Data Management (Extended Abstract) -- Semantic Data Organization on a Generalized Data Management System -- Frequency Separation Analysis for Object Oriented Databases --
Query Processing and Physical Structures for Relational Databases -- Index Selection in Relational Databases -- A Physical Structure for Efficient Processing of Relational Queries -- A Hash Join Technique for Relational Database
Systems -- Data Organization Method for the Parallel Execution of Relational Operations -- Implementation of Inferential Relational Database System -- Database Theory -- Towards a Basic Relational NF2 Algebra Processor -- Two Classes
of Easily Tested Integrity Constraints: Complacent and FD-complacent Integrity Constraints -- Semantic Constraints of Network Model (Extended Abstract) -- Join-Decomposition of MVD-Constraints Using the Characterization by “Bases” -An
Introductive Study- -- Database Research and Development in the Pacific Area Countries -- Database Research and Development in Taiwan -- Database Research and Development in Korea -- Database Research and Development in Australia --
Database Research and Development in Japan: Its Past, Present and Future -- Database Research and Development in China -- Database Research and Development in Singapore -- Author index
ISBN:9781461318811
Series:eBooks
Series:SpringerLink (Online service)
Series:Springer eBooks
Keywords: Physics , Astrophysics , Statistics , Physics , Astrophysics and Astroparticles , Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scien
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