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[null,"1.","Record Nr.",null,"UNINA9910970997103321"]
[null,null,"Titolo",null,"Report of a Workshop on Predictability & Limits-to-Prediction in Hydrologic Systems / / Committee on Hydrologic Science, Water Science and Technology Board, Board on Atmospheric Sciences and Climate, Division on Earth and Life Studies, National Research Council"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C., : National Academy Press, 2002"]
[null,null,"ISBN",null,"9780309169745"]
[{"$nulls":4},"0309169747"]
[{"$nulls":4},"9780309506700"]
[{"$nulls":4},"0309506700"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (xiv, 118 pages) : illustrations, maps"]
[null,null,"Disciplina",null,"551.48/01/12"]
[null,null,"Soggetti",null,"Hydrological forecasting"]
[{"$nulls":4},"Hydrology - Research - United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Front Matter Preface Acknowledgment of Reviewers Contents 1 Background and Goals 2 Predictability Science: Definitions 3 Challenges in Predictability Science and Limits-to-Prediction for Hydrologic Systems 4 Conclusions References Appendix A Workshop Agenda and List of Participants Appendix B Selected Papers Presented at Workshop on Predictability and Limits-to-Prediction In Hydrologic Systems Appendix C National Research Council Board Membership and Staff"]
[null,null,null,"Sommario/riassunto","The Committee on Hydrologic Science (COHS) of the National Research Council (NRC) is engaged in studying the priorities and future strategies for hydrologic science. In order to involve a broad community representation, COHS is organizing workshops on priority topics in hydrologic science. These efforts will culminate in reports from the NRC on the individual workshops as well as a synthesis report on strategic directions in hydrologic science. The first workshop-Predictability and Limits-to-Prediction in Hydrologic Systems-was held at the National Center for Atmospheric Research in Boulder, Colorado, September 21-22, 2000. Fourteen technical presentations covered basic research and understanding, model formulations and behavior, observing strategies, and transition to operational predictions."]
[null,"2.","Record Nr.",null,"UNINA9910968475403321"]
[null,null,"Titolo",null,"Cellular automata / / Thomas M. Li, editor"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Nova Science Publishers, Inc., c2011"]
[null,null,"ISBN",null,"1-62100-148-2"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (309 p.)"]
[null,null,"Collana",null,"Mathematics research developments"]
[{"$nulls":4},"Computer science, technology and applications"]
[null,null,"Disciplina",null,"511.3/5"]
[null,null,"Soggetti",null,"Cellular automata"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Intro -- CELLULAR AUTOMATA -- CELLULAR AUTOMATA -- CONTENTS -- PREFACE -- Chapter 1 CA UPGRADING FOR EXTENDING THE OPTIMIZATION PROBLEM SOLVING ABILITY -- ABSTRACT -- 1. INTRODUCTION -- How Can We Guide the System by CA? -- 2. COMPLEX SYSTEMS -- 3. OPTIMIZATION -- 3.1. History -- 3.2. Objective Function -- 3.3. System Optimization -- 4. OPTIMIZATION BY CA -- 4.1. Optimization by CA+SA -- 4.1.1. Simulated annealing -- 4.1.2. Procedure -- 4.1.3. A Sample problem solving -- 4.2. Optimization by CA -- 4.2.1. Procedure -- 4.2.2. A Sample problem solving -- 5. CONCLUSION -- REFERENCES -- Chapter 2 MODELING DRUG RELEASE USING CELLULAR AUTOMATA: EVOLUTION AND TRENDS  IN PHARMACEUTICAL SCIENCES -- ABSTRACT -- 1. INTRODUCTION -- 2. HISTORICAL REVIEW -- 3. MODELING MATRIX EROSION -- 3.1. Describing the Primary State of the Matrix -- 3.2. Step 1 of Polymer Erosion: Water Penetration in the Matrix -- 3.3. Step 2 of Polymer Erosion: Polymer Degradation -- 3.4. Step 3 of Polymer Erosion: Loss of Polymer Bulk -- 4. MODELING DRUG DIFFUSION -- 5. EVALUATING THE PREDICTIVE VALUE OF MODELS -- 6. CONCLUSION -- REFERENCES -- Chapter 3 A MODEL OF CELLULAR AUTOMATA FOR THE SPATIAL ANALYSIS OF APHIDS AND LADYBUGS -- ABSTRACT -- 1. PRELIMINARIES -- 1.1. Citrus Sudden Death -- 1.2. Cellular Automata -- 1.3. Fuzzy Rule-Based System -- 2. CELLULAR AUTOMATA MODEL -- 3. SIMULATIONS WITH CELLULAR AUTOMATA MODEL -- CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 4 CELLULAR AUTOMATA OPTIMIZATION  VIA EVOLUTIONARY METHODS -- ABSTRACT -- INTRODUCTION -- CELLULAR FORMULATION -- "]
[{"$nulls":4},"COMBINED CELLULAR - GENETIC FORMULATION -- LOCAL SEARCH ALGORITHM -- RESULTS AND DISCUSSION -- REFERENCES -- Chapter 5 PARALLEL CELLULAR AUTOMATA ON CHIP -- ABSTRACT -- 1. INTRODUCTION -- 2. A SIMPLE CELLULAR AUTOMATON -- 3. RECONFIGURABLE COMPUTING -- 4. CELLULAR AUTOMATA RECONFIGURABLE PROCESSOR."]
[{"$nulls":4},"4.1. Modeling of the Algorithm -- 4.2. Processor Design -- 4.3. Hardware Implementation -- 5. EXPERIMENTAL RESULTS -- 6. CONCLUSIONS AND FUTURE WORK -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter6 EVOLVINGCELLULARAUTOMATAFORFORMGENERATIONINARTIFICIALDEVELOPMENT -- Abstract -- 1.Introduction -- 2.CellularGrowthTestbed -- 2.1.2DNeighborhoods -- 2.1.1.VonNeumannNeighborhood -- 2.1.2.MooreNeighborhood -- 2.1.3.2-RadialNeighborhood -- 2.1.4.MargolusNeighborhood -- 2.2.3DNeighborhood -- 2.3.NetLogoModels -- 3.MorphogeneticGradients -- 4.Genomes -- 5.GeneticAlgorithm -- 5.1.Chromosomestructure -- 5.1.1.Chromosomestructureforformgeneration -- 5.1.2.Chromosomestructureforpatterngeneration -- 5.2.Fitnessfunction -- 5.2.1.Onestructuralgene -- 5.2.2.Multiplestructuralgenes -- 6.FormGeneration -- 6.1.2Dshapes -- 6.2.3Dshapes -- 6.3.Chosenneighborhoodsforpatterngeneration -- 7.PatternGeneration -- 8.Discussion -- 9.Conclusion -- References -- Chapter7 STRUCTURALANDSYMMETRYANALYSISOFDISCRETEDYNAMICALSYSTEMS -- Abstract -- 1.Introduction -- 2.DiscreteDynamics -- 2.1.DiscreteDynamicalModelswithSpace -- 2.1.1.ExampleofDiscreteModelwithEmergentSpace-time. -- 2.1.2.SpaceSymmetriesinMoreDetail. -- 2.1.3.UnificationofSpaceandInternalSymmetries. -- 3.StructuralAnalysisofDiscreteRelations -- 3.1.BasicDefinitionsandConstructions -- 3.1.1.Relations -- 3.1.2.CompatibilityofSystemsofRelations -- 3.1.3.DecompositionofRelations -- 3.1.4.OnRepresentationofRelationsinComputer -- 3.2.Illustration:ApplicationtoSomeCellularAutomata -- 3.2.1.J.Conway'sGameofLife -- 3.2.2.ElementaryCellularAutomata -- 4.Soliton-likeStructuresinDeterministicDynamics -- CommentsonReversibilityinDiscreteSystems. -- 5.MesoscopicLatticeModels -- 5.1.StatisticalMechanics -- 5.2.Mesoscopy -- 5.2.1.LatticeModels. -- 5.3.PhaseTransitions -- 6.GaugeConnectionandQuantization -- 6.1.DiscreteGaugePrinciple."]
[{"$nulls":4},"6.2.QuantumBehaviorandGaugeConnection -- 6.2.1.IllustrativeExampleInspiredbyFreeParticle. -- 6.2.2.LocalQuantumModelsonRegularGraphs -- 6.3.GeneralDiscussionofQuantizationinFiniteSystems -- 6.3.1.PermutationsandLinearRepresentations -- 6.3.2.InterpretationofQuantumDescriptioninFiniteBackground -- 7.Conclusion -- Acknowledgments -- References -- Chapter8 REVERSIBILITYOFCELLULARAUTOMATA -- Abstract -- 1.Introduction -- 2.Quivers -- 2.1.DeBruijnQuiver -- 2.2.AdjacencyMatrices -- 3.CellularAutomata -- 3.1.WolframCellularAutomaton -- 3.2.CorrespondencetodeBruijnQuiver -- 3.3.GlobalTransitionofConfigurationAlgebra -- 3.4.TransitionMatrices -- 4.ReversibilityofCellularAutomata -- 4.1.PeriodicReductionsofWCA -- 4.2.Reversibilityofn-WCA -- 4.3.NecessaryConditionsforReversibilityofn-WCA -- 5.ReversibleRulesinECA -- 5.1.EquivalenceClassesofRules -- 5.2.ReversibilityofRule154 -- 5.3.CompleteListofReversibleRules -- 6.Conclusion -- REFERENCES -- Chapter9 FROMGLIDERSTOUNIVERSALITYOFCELLULARAUTOMATA:"]
[{"$nulls":4},"ANOTHER2D2-STATEUNIVERSALAUTOMATON -- Abstract -- 1.Introduction -- 2.FormalisationsandNotations -- 2.1.SetofCellularAutomata -- 2.2.EvolutionofCellularAutomata -- 2.3.Isotropy -- 2.4.NumberofAutomata -- 2.5.QuiescentState -- 2.6.Patterns -- 2.6.1.Definition -- 2.6.2.Glider -- 2.7.GliderGun -- 3.GameofLife -- 3.1.TransitionRule -- 3.2.ANDGate -- 3.3.NOTGate -- 4.Gliders -- 4.1.EvolutionaryAlgorithm -- 4.2.Result -- 4.2.1.OrthogonalGliders -- 4.2.2.DiagonalGliders -- 5.Universality -- 5.1.TheR0Automaton:anExperimentalResult -- 5.2.Lookingforan\"Eater\" -- 5.2.1.EvolutionaryAlgorithm -- 5.2.2.TheEateroftheRAutomaton:anExperimentalResult -- 5.3.NANDGate -- 5.3.1.Collisions -- 5.3.2.NewPattern -- 5.3.3.AssemblingPatternsintoaNOTGate -- 5.4.SimulationofOneCelloftheGameofLife -- 5.5.SimulationoftheGameofLife -- 5.5.1.IntersectionofStreams -- 5.5.2.Synchronisation."]
[{"$nulls":4},"5.5.3.SimulationoftheGameofLifeinR -- 6.Conclusion -- References -- Chapter10 ANUMERICALIMPLEMENTATIONOFANENCRYPTIONSYSTEMOFCOMPRESSEDSIGNALSWITHACELLULARAUTOMATAAPPROACH -- Abstract -- 1.Introduction -- 2.ElementaryCellularAutomata -- 3.EncryptionSystem -- 3.1.SynchronizationinCellularAutomata -- 3.1.1.Unidirectionalcoupling -- 3.1.2.Synchronization -- 3.2.TheBasicUnitCipher -- 4.PseudoRandomSequencesGenerator -- 4.1.ModifiedGenerator -- 4.2.PerformanceAnalysis -- 4.3.MultifractalPropertiesoftheMatrixHN -- 5.WaveletAnalysis -- 5.1.Introduction -- 5.2.WaveletTransform -- 5.3.CompressionScheme -- 6.NumericalImplementation -- 7.Conclusion -- References -- Chapter11 CANONICALFACTOROFCELLULARAUTOMATA -- Abstract -- Introduction -- 1.Definitions -- 2.Traces -- 2.1.FactorSubshifts -- 2.2.Generators -- 2.3.ColumnFactors -- 3.TracesofCellularAutomata -- 4.Equicontinuity -- 5.Expansivity -- 6.Entropy -- Conclusion -- References -- INDEX -- Blank Page."]
[null,null,null,"Sommario/riassunto","A cellular automaton is a discrete model studied in computability theory, mathematics, physics, complexity science, theoretical biology and microstructure modeling. It consists of a regular grid of cells, each in one of a finite number of states, such as \"On\" or \"Off\". The grid can be in any finite number of dimensions. For each cell, a set of cells called its neighborhood (usually including the cell itself) is defined relative to the specified cell. This book presents current research from across the globe in the study of cellular automata, including using cellular automata to solve optimization problems; modeling drug release science using cellular automata; using the cellular automata model to study the dispersion of aphids and ladybugs in a block of citric trees; and the reversibility of cellular automata."]
[null,"3.","Record Nr.",null,"UNISA996696781903316"]
[null,null,"Autore",null,"HERLIHY, David"]
[null,null,"Titolo",null,"Medieval households / David Herlihy"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge, MA, : Harvard University Press, 1985"]
[null,null,"Descrizione fisica",null,"Testo elettronico (PDF) (VII, 227 p.)"]
[null,null,"Collana",null,"Studies in cultural history"]
[null,null,"Disciplina",null,"306.850902"]
[null,null,"Soggetti",null,"Famiglie - Europa - Storia"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Risorsa elettronica"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Come dovrebbe essere caratterizzata la famiglia medievale? Chi formava il nucleo familiare e quali erano i legami di parentela, legge e affetto che univano i membri? David Herlihy esplora queste domande dall'antica Grecia alle famiglie della Toscana del XV secolo, per offrire una nuova, ampia interpretazione della vita familiare. In una serie di ipotesi audaci, presenta le sue idee sull'emergere di una famiglia medievale distintiva e sulla sua trasformazione nel corso di mille anni"]