Search Results - "entropy"

50 years of Anderson localization

Table of Contents: “…Ostrovsky -- Scaling of von Neumann entropy at the Anderson transition / S. Chakravarty -- From Anderson localization to Mesoscopic physics / M. …”
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Fundamentals of combustion engineering by Mukhopadhyay, Achintya

Table of Contents: “…4: Simple Reactor Models4.1 Constant Pressure Reactors; 4.2 Constant Volume Reactor; 4.3 Well-Stirred Reactor; 4.4 Plug Flow Reactor; References; 5: Conservation Equations; 5.1 Reynolds Transport Theorem; 5.2 Conservation of Mass; 5.3 Conservation of Species; 5.4 Conservation of Momentum; 5.5 Conservation of Energy; 5.6 Entropy Balance Equation; References; 6: Laminar Premixed Flames; 6.1 Physical Description; 6.2 Rankine-Hugoniot Relations; 6.2.1 Rayleigh Lines; 6.2.2 Hugoniot Lines; 6.2.3 Detonation and Deflagration Waves; 6.2.4 Chapman-Jouguet Waves; 6.3 Flame Propagation and Flame Speed…”
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The Newman Lectures on Transport Phenomena / by Newman, John S., 1938-, Battaglia, Vincent S.

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Chaos analysis and chaotic EMI suppression of DC-DC converters / by Zhang, Bo, 1976-, Wang, Xuemei (Electrical engineer)

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Grabbing back : essays against the global land grab /

Table of Contents: “…-- Women, land-struggles, and globalization : an international perspective / Silvia Federici -- Land, territory, entropy / Guillermo Delgado-P -- A coup over land / Benjamin Dangl -- Black women on the edge / Keisha-Khan Perry and Ana Cristina da Silva Caminha -- Exit and territory : a world-systems analysis of non-state spaces / Andrej GrubacŒic -- Taking back the commons : an introduction / Alexander Reid Ross -- Reconstructing the poor peoples movement / Noam Chomsky -- A Detroit story : ideas whose time has come / Grace Lee Boggs ... …”
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Practical AI for Cybersecurity by Das, Ravindra

Table of Contents: “…Text Strings -- Byte Sequences -- Opcodes -- API, System Calls, and DLLs -- Entropy -- Feature Selection Process for Malware Detection -- Feature Selection Process for Malware Classification -- Training Data -- Tuning of Malware Classification Models Using a Receiver Operating Characteristic Curve -- Detecting Malware after Detonation -- Summary -- Applications of Machine Learning Using Python -- The Use of Python Programming in the Healthcare Sector -- How Machine Learning is Used with a Chatbot -- The Strategic Advantages of Machine Learning In Chatbots…”
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Crystals and crystallinity in polymers : diffraction analysis of ordered and disordered crystals / by De Rosa, Claudio

Table of Contents: “…Machine generated contents note: Chapter 1 Configuration and Conformation of Macromolecules in Polymer Crystals 1.1 Crystals of polymers 1.2 Constitution and configuration of crystalline polymers 1.3 Conformation 1.4 Relationships among internal parameters of macromolecules 1.5 Conformation of polymer chains in the crystalline state 1.6 Helical conformations in isotactic and syndiotactic polymers 1.7 Conformational energy calculations 1.8 Helical conformation and optical activity 1.9 Alternating copolymers 1.10 Polydienes 1.11 Non helical chain conformations of isotactic polymers References Chapter 1 Chapter 2 Packing of macromolecules in polymer crystals 2.1 General principles 2.2 The principle of density (entropy)-driven phase formation in polymers 2.3 Symmetry breaking 2.4 Impact of chain folding on crystal structure symmetry 2.5 Frustrated Polymer Crystal Structures 2.6 Chiral crystallization of polymers with helical chain conformations 2.7 Packing effects on the conformation of polymer chains in the crystals: the case of aliphatic polyamides References Chapter 2 Chapter 3 3.1 X-ray diffraction of semicrystalline polymers 3.2 Fourier synthesis and the phase problem in crystallography 3.3 X-ray fiber diffraction analysis 3.4 Determination of parameters of the unit cell and indexing of the diffraction pattern 3.5 Measure of the integrated intensities of the reflections and corrections for geometrical (Lorentz), polarization and absorption factors 3.6 Calculation of Structure Factors 3.7 Structural refinement 3.8 Form of diffraction pattern and broadening due to the Laue function References Chapter 3 Chapter 4 Defects and Disorder in Polymer Crystals 4.1 Classification of different types of structural disorder 4.2 Crystals with partial three-dimensional order (Class A)Disorder with three-dimensional periodicity maintained only for some characterizing points of the structure 4.3 Solid mesophases References Chapter 4 Chapter 5 Methods of Analysis of Diffuse Scattering from Disordered Structures of Polymers 5.1 Structural disorder and diffuse scattering 5.2 Methods of diffraction analysis from disordered crystals 5.3 Long Range Order in Disordered Lattices of Class A 5.4 Short Range Order in Disordered Crystals of Class A 5.5 Short Range Order in Disordered Crystals with Substitution type Disorder 5.6 Short Range vs Long Range Order in Disordered Crystals of Class B and C (Solid Mesophases) 5.7 Disordered Models with Perturbations Occurring over Continuous Ranges 5.8 Basic formulas for the calculation of X-ray Diffraction Intensity from Disordered Model Structures of Polymers 5.9 Examples of calculation of average diffracted intensity of structures disordered in one dimension 5.10 Integration method of diffraction intensity for cylindrically and spherical surfaces in the reciprocal space References Chapter 5 Chapter 6 Crystal habit 6.1 Basic remark 6.2 Rounded lateral habits 6.3 Chain folding, molecular orientation and sectorization 6.4 Twinning and secondary nucleation theory 6.5 Homoepitaxy, morphology, stem orientation and polymorphism References Chapter 6 Chapter 7 Influence of Crystal Defects and Structural Disorder on the Physical and Mechanical Properties of Polymeric Materials 7.1 Introduction 7.2 Stress induced phase transformations during deformation 7.3 Isotactic polypropylene 7.4 Syndiotactic Polypropylene References Chapter 7.…”
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Thermal Energy Systems Design and Analysis, Second Edition. by Penoncello, Steven G.

Table of Contents: “…2.9.3 Sum of the Years' Digits (SYD)Reference; Problems; Time Value of Money; Economic Decision Making; Depreciation and Taxes; Chapter 3: Analysis of Thermal Energy Systems; 3.1 Introduction; 3.2 Nomenclature; 3.3 Analysis Procedure; 3.4 Conserved and Balanced Quantities; 3.4.1 The Generalized Balance Law; 3.5 Conservation of Mass; 3.6 Conservation of Energy; 3.7 The Entropy Balance (The Second Law of Thermodynamics); 3.7.1 The Reversible and Adiabatic Process; 3.7.2 Isentropic Efficiencies of Flow Devices; 3.7.2.1 Turbines; 3.7.2.2 Compressors, Pumps, and Fans; 3.7.2.3 Nozzles…”
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Porous media transport phenomena by Civan, Faruk

Table of Contents: “…Flow Demarcation Criteria.9. Entropy Generation in Porous Media.10. Viscous Dissipation in Porous Media.11. …”
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A different thermodynamics and its true heroes / by Starikov, Evgeni B.

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Nanofluids and their engineering applications /

Table of Contents: “…Nanofluid-Based Single-Phase Natural Circulation Loops [Nur Çobanogælu, Ziya Haktan Karadeniz, and Alpaslan Turgut] 5. Entropy Generation Analysis of Hybrid Nanofluids Flow in Ducts with Various Shapes [Gabriela Huminic and Angel Huminic] 6. …”
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Dynamical systems : theories and applications / by Elhadj, Zeraoulia

Table of Contents: “…Cover; Title Page; Copyright Page; Preface; Table of Contents; Preface; 1: Review of Chaotic Dynamics; 1.1 Introduction; 1.2 Poincaré map technique; 1.3 Smale horseshoe; 1.4 Symbolic dynamics; 1.5 Strange attractors; 1.6 Basins of attraction; 1.7 Density, robustness and persistence of chaos; 1.8 Entropies of chaotic attractors; 1.9 Period 3 implies chaos; 1.10 The Snap-back repeller and the Li-Chen-Marotto theorem; 1.11 Shilnikov criterion for the existence of chaos; 2: Human Immunodeficiency Virus and Urbanization Dynamics; 2.1 Introduction…”
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Mixed models theory and applications with R / by Demidenko, Eugene, 1948-

Table of Contents: “…331.16 Software and books361.17 Summary points 372 MLE for LME Model 412.1 Example: Weight versus height 422.2 The model and log-likelihood functions 452.3 Balanced random-coefficient model 602.4 LME model with random intercepts 642.5 Criterion for the MLE existence 722.6 Criterion for positive definiteness of matrix D742.7 Preestimation bounds for variance parameters 772.8 Maximization algorithms792.9 Derivatives of the log-likelihood function 812.10 Newton--Raphson algorithm 832.11 Fisher scoring algorithm852.12 EM algorithm 882.13 Starting point 932.14 Algorithms for restricted MLE 962.15 Optimization on nonnegative definite matrices 972.16 lmeFS and lme in R 1082.17 Appendix: Proof of the MLE existence 1122.18 Summary points 1153 Statistical Properties of the LME Model 1193.1 Introduction 1193.2 Identifiability of the LMEmodel 1193.3 Information matrix for variance parameters 1223.4 Profile-likelihood confidence intervals 1333.5 Statistical testing of the presence of random effects 1353.6 Statistical properties of MLE 1393.7 Estimation of random effects 1483.8 Hypothesis and membership testing 1533.9 Ignoring random effects 1573.10 MINQUE for variance parameters 1603.11 Method of moments 1693.12 Variance least squares estimator 1733.13 Projection on D+ space 1783.14 Comparison of the variance parameter estimation 1783.15 Asymptotically efficient estimation for [beta] 1823.16 Summary points 1834 Growth Curve Model and Generalizations 1874.1 Linear growth curve model 1874.2 General linear growth curve model 2034.3 Linear model with linear covariance structure 2214.4 Robust linear mixed effects model 2354.5 Appendix: Derivation of the MM estimator 2434.6 Summary points 2445 Meta-analysis Model 2475.1 Simple meta-analysis model 2485.2 Meta-analysis model with covariates 2755.3 Multivariate meta-analysis model 2805.4 Summary points 2916 Nonlinear Marginal Model 2936.1 Fixed matrix of random effects 2946.2 Varied matrix of random effects 3076.3 Three types of nonlinear marginal models 3186.4 Total generalized estimating equations approach 3236.5 Summary points 3307 Generalized Linear Mixed Models 3337.1 Regression models for binary data 3347.2 Binary model with subject-specific intercept 3577.3 Logistic regression with random intercept 3647.4 Probit model with random intercept 3847.5 Poisson model with random intercept 3887.6 Random intercept model: overview 4037.7 Mixed models with multiple random effects 4047.8 GLMM and simulation methods 4137.9 GEE for clustered marginal GLM 4187.10 Criteria for MLE existence for binary model 4267.11 Summary points 4318 Nonlinear Mixed Effects Model 4358.1 Introduction 4358.2 The model 4368.3 Example: Height of girls and boys 4398.4 Maximum likelihood estimation 4418.5 Two-stage estimator 4448.6 First-order approximation 4508.7 Lindstrom--Bates estimator 4528.8 Likelihood approximations 4578.9 One-parameter exponential model 4608.10 Asymptotic equivalence of the TS and LB estimators 4678.11 Bias-corrected two-stage estimator 4698.12 Distribution misspecification 4718.13 Partially nonlinear marginal mixed model 4748.14 Fixed sample likelihood approach4758.15 Estimation of random effects and hypothesis testing 4788.16 Example (continued) 4798.17 Practical recommendations 4818.18 Appendix: Proof of theorem on equivalence 4828.19 Summary points 4859 Diagnostics and Influence Analysis 4899.1 Introduction 4899.2 Influence analysis for linear regression 4909.3 The idea of infinitesimal influence 4939.4 Linear regression model 4959.5 Nonlinear regression model 5129.6 Logistic regression for binary outcome 5179.7 Influence of correlation structure 5269.8 Influence of measurement error 5279.9 Influence analysis for the LME model 5309.10 Appendix: MLE derivative with respect to σ2 5369.11 Summary points 53710 Tumor Regrowth Curves 54110.1 Survival curves 54310.2 Double--exponential regrowth curve 54510.3 Exponential growth with fixed regrowth time 55910.4 General regrowth curve 56510.5 Double--exponential transient regrowth curve 56610.6 Gompertz transient regrowth curve 57310.7 Summary points 57611 Statistical Analysis of Shape 57911.1 Introduction 57911.2 Statistical analysis of random triangles 58111.3 Face recognition 58411.4 Scale-irrelevant shape model 58511.5 Gorilla vertebrae analysis 58911.6 Procrustes estimation of the mean shape 59111.7 Fourier descriptor analysis 59811.8 Summary points 60712 Statistical Image Analysis 60912.1 Introduction 60912.2 Testing for uniform lighting 61212.3 Kolmogorov--Smirnov image comparison 61612.4 Multinomial statistical model for images 62012.5 Image entropy 62312.6 Ensemble of unstructured images 62712.7 Image alignment and registration 64012.8 Ensemble of structured images 65212.9 Modeling spatial correlation 65412.10 Summary points 66013 Appendix: Useful Facts and Formulas 66313.1 Basic facts of asymptotic theory 66313.2 Some formulas of matrix algebra 67013.3 Basic facts of optimization theory 674References 683Index 713.…”
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PEM fuel cells thermal and water management fundamentals / by Wang, Yun

Table of Contents: “…Basics of PEM fuel cells -- 2.1 Thermodynamics -- 2.1.1 Internal energy and the first law of thermodynamics -- 2.1.2 Enthalpy change -- 2.1.3 Entropy change and the second law of thermodynamics -- 2.1.4 Gibbs free energy and thermodynamic voltage -- 2.1.5 Chemical potential and Nernst equation -- 2.1.6 Relative humidity and phase change -- 2.2 Electrochemical reaction kinetics -- 2.2.1 Electrochemical kinetics -- 2.2.2 Electrochemical mechanisms in PEM fuel cells -- 2.2.3 Linear approximation and Tafel equation -- 2.3 Voltage loss mechanisms and a simplified model -- 2.3.1 Open circuit voltage (OCV) -- 2.3.2 Activation loss -- 2.3.3 Ohmic loss -- 2.3.4 Transport voltage loss -- 2.3.5 Current-voltage (I-V) curve and operation efficiency -- 2.3.6 Role of water and thermal management -- 2.4 Chapter summary --…”
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