Tabla de Contenidos: “…Expansion et assainissement budgétaire au Japon, 1992-99 -- La future zone euro : flexibilité et coordination -- La transition vers l'union monétaire -- Tableau 10. Indicateurs macroéconomiques et leurs prévisions pour les pays de la future zone euro -- Tableau 11. …”

Tabla de Contenidos: “…Résumé des recommandations structurelles précédentes concernant le secteur des entre... -- Tableau 28. Les trente premiers chaebol en 2001 -- Graphique 38. Restructuration des trente premiers chaebol -- Tableau 29. …”

Tabla de Contenidos: “…Principaux enseignements pour l'action publique d'une série d'examens par pays -- Rendre le secteur agricole et alimentaire plus performant à long terme -- Un cadre d'analyse pour étudier les politiques qui influent sur le secteur agricole et alimentaire -- La productivité et la durabilité de l'agriculture et de l'alimentation doivent encore être améliorées -- Supprimer les distorsions liées aux politiques et les obstacles réglementaires le long de la chaîne de valeur -- Supprimer les formes de soutien qui faussent le plus le fonctionnement des marchés des produits de base -- Améliorer le fonctionnement des marchés des intrants -- Réduire les obstacles aux échanges -- Assurer une meilleure prise en considération des besoins dans le système de recherche et d'innovation agricoles -- Les systèmes d'innovation agricole sont très divers -- Les pouvoirs publics tiennent depuis toujours une place importante dans les systèmes d'innovation agricole -- Les systèmes d'innovation agricole sont dans une phase de transition -- Améliorer la gouvernance des systèmes d'innovation agricole -- Simplifier la programmation de la recherche pour plus d'efficience et de transparence -- Rendre le financement public de la R-D agricole plus complémentaire de l'investissement privé en misant sur des domaines relevant du bien commun -- Obtenir du secteur privé une contribution plus active à la R-D et à l'innovation dans l'agriculture et l'alimentation -- Resserrer les liens au sein du système d'innovation agricole et entre les secteurs -- Faciliter la coopération internationale dans le domaine de la R-D -- Fortifier les systèmes de conseil agricole pour faciliter l'adoption de l'innovation -- Fournir au secteur de l'agriculture et de l'alimentation les compétences dont il a besoin…”

Tabla de Contenidos: “…Deuxième cycle de l'enseignement secondaire et transition de la formation initiale... -- a) Données de base -- b) Objectifs et orientations des réformes -- Figure 10. …”

Tabla de Contenidos: “…Régions préférées des entreprises japonaises pour les fusions-acquisitions transnat... -- Alliances stratégiques -- Figure 3.15. …”

Tabla de Contenidos: “…3.5.1 Experimental Validation of Micro uidic Biomolecular Transport and Sensing Models -- 3.5.2 Technological Advances in Micro uidic On-Chip Analysis -- 3.6 Summary and Conclusions -- References -- 4 Coupling Microscale Transport and Tissue Mechanics: Modeling Strategies for Arterial Multiphysics -- 4.1 Introduction -- 4.2 Brief on Arterial Tissues -- 4.2.1 Histology and Mechanics of Arterial Tissues -- 4.2.2 Molecular Transport in Arterial Tissues -- 4.2.3 Extracellular Matrix Remodeling -- 4.3 Arterial Multiphysics Modeling -- 4.3.1 Geometric Description and General Notation -- 4.3.2 Multiphysics Modeling Rationale -- 4.3.3 Arterial Mechanical Problem -- 4.3.4 Molecular Transport Problem -- 4.3.5 Remodeling Laws -- 4.3.6 Integrated Computational Strategy: Towards an Analytical Solution -- 4.4 An Axisymmetric Case Study -- 4.4.1 Arterial Geometry and Structure -- 4.4.2 Quasi-Analytical Arterial Mechanics -- 4.4.3 Analytical Arterial Molecular Transport -- 4.4.4 Analytical Arterial Remodeling Induced by MMPs, TGF-ß, and IL -- 4.4.5 Results -- 4.5 Conclusions -- Acknowledgements -- Appendix A Along-the-Chord Collagen Fiber Tangent Modulus -- Appendix B Microstructure of Aortic Media Layer -- References -- 5 Modeling Cystic Fibrosis and Mucociliary Clearance -- 5.1 Mucociliary Clearance and Cystic Fibrosis -- 5.1.1 Airway Wall Environment and Mucociliary Clearance -- 5.1.2 The Cystic Fibrosis Pathology -- 5.1.3 Mathematical Modeling of Lung Wall Environment -- 5.2 Newtonian Models -- 5.2.1 Mathematical Analysis -- 5.2.2 Numerical Analysis -- 5.2.3 Numerical Computations of the Mucus Propelled by Ciliated Epithelium -- 5.2.4 Phenomena Analysis -- 5.3 Rheology of Mucus and Non-Newtonian Models -- 5.3.1 Rheometry Data on Lung Mucus from the Literature -- 5.3.2 Mucus Sample Analysis and Rheological Results…”

Tabla de Contenidos: “…3.5.1 Selected LCA studies on energy crops -- 3.5.2 Selected LCA studies on solid biofuels upgrade -- 3.5.3 Selected LCA studies on biofuel thermochemical pretreatment -- 3.5.4 Selected LCA studies on the overall impact of biofuel production -- 3.6 Conclusions -- References -- 4 - Biofuels: technology, economics, and policy issues -- 4.1 Introduction -- 4.2 Moving from fossil fuel to biofuels: insights from socio-technical transition theory -- 4.3 Assessing first- and next-generation biofuels -- 4.3.1 First generation: bioethanol, biodiesel, and other biofuels -- 4.3.1.1 Bioethanol -- 4.3.1.2 Biodiesel -- 4.3.1.3 Other biofuels -- 4.3.2 Beyond the first-generation biofuels -- 4.3.3 Integrated biorefineries: making biofuel along with other high-added value products -- 4.4 Economic, environmental, and social issues -- 4.4.1 Socioeconomic issues -- 4.4.2 Socio-environmental issues -- 4.5 Policy actions and the regulatory framework -- 4.5.1 The Brazilian incentive and regulatory systems -- 4.5.2 The US incentive and regulatory systems -- 4.5.3 The European incentive and regulatory systems -- 4.6 Conclusions -- References -- 5 - Feedstocks and challenges to biofuel development -- 5.1 Introduction -- 5.2 Edible vegetable raw materials for biodiesel production -- 5.2.1 Rapeseed/canola seed -- 5.2.2 Sunflower seed -- 5.2.3 Palm tree -- 5.2.4 Soybean seed -- 5.2.5 Peanut seed -- 5.2.6 Cotton seed -- 5.3 Nonedible/low-cost raw materials for diesel engine biofuel production -- 5.3.1 Green canola seed -- 5.3.2 Callophyllum inophyllum L. -- 5.3.3 Annona -- 5.3.4 Croton megalocarpus -- 5.3.5 Azadirachta indica -- 5.3.6 Waste oils -- 5.3.7 Other sources of low-cost, renewable oil for biofuel production -- 5.4 Raw materials for bioethanol production -- 5.4.1 Most frequent raw materials for bioethanol production -- 5.4.1.1 Raw materials employed by country…”

Tabla de Contenidos: “…The Order of a Filter -- Filter Cutoff Frequencies and Characteristic Frequencies -- First-Order Filters -- Second-Order and Higher-Order Filters -- Filter Characteristics -- Amplitude Peaking and Q -- Butterworth Filters -- Linkwitz-Riley Filters -- Bessel Filters -- Chebyshev Filters -- 1 dB-Chebyshev Lowpass Filter -- 3 dB-Chebyshev Lowpass Filter -- Higher-Order Filters -- Butterworth Filters up to 8th-Order -- Linkwitz-Riley Filters up to 8th-Order -- Bessel Filters up to 8th-Order -- Chebyshev Filters up to 8th-Order -- More Complex Filters-Adding Zeros -- Inverse Chebyshev Filters (Chebyshev Type II) -- Elliptical Filters (Cauer Filters) -- Some Lesser-Known Filter Characteristics -- Transitional Filters -- Linear-Phase Filters -- Gaussian Filters -- Legendre-Papoulis Filters -- Laguerre Filters -- Synchronous Filters -- Other Filter Characteristics -- Chapter 8: Designing Lowpass Filters: Sallen &amp -- Key -- Designing Real Filters -- Component Sensitivity -- First-Order Lowpass Filters -- Second-Order Filters -- Sallen &amp -- Key 2nd-Order Lowpass Filters -- Sallen &amp -- Key Lowpass Filter Components -- Sallen &amp -- Key 2nd-Order Lowpass: Unity Gain -- Sallen &amp -- Key 2nd-Order Lowpass Unity Gain: Component Sensitivity -- Filter Frequency Scaling -- Sallen &amp -- Key 2nd-Order Lowpass: Equal Capacitor -- Sallen &amp -- Key 2nd-Order Lowpass Equal-C: Component Sensitivity -- Sallen &amp -- Key 2nd-Order Butterworth Lowpass: Defined Gains -- Sallen &amp -- Key 2nd-Order Lowpass: Non-Equal Resistors -- Sallen &amp -- Key 2nd-Order Lowpass: Optimisation -- Sallen &amp -- Key 3rd-Order Lowpass: Two Stages -- Sallen &amp -- Key 3rd-Order Lowpass: Single Stage -- Sallen &amp -- Key 3rd-Order Lowpass in a Single Stage: Non-Equal Resistors -- Sallen &amp -- Key 4th-Order Lowpass: Two Stages -- Sallen &amp…”

Tabla de Contenidos: “…-- Faktor 1: Inhärentes Interesse -- Faktor 2: Die Poesie der Präsentation -- Faktor 3: Projektion -- 16.5 Beispiele für Interessensfaktoren -- 16.6 Zusammenfassung -- 16.7 Weitere Informationsquellen zu diesem Thema -- Kapitel 17: Ein Teil des Erlebnisses besteht in der Story -- 17.1 Story/Spiel-Dualismus -- 17.2 Der Mythos der passiven Unterhaltung -- 17.3 Der Traum -- 17.4 Die Realität…”

Tabla de Contenidos: “…Carbon footprint -- 3.2.2. Carbon transition pathway -- 3.2.3. Other metrics -- 3.3. Portfolio optimization -- 3.3.1. …”

Tabla de Contenidos: “…Le statut au regard de l'emploi est variable selon les catégories -- Tableau 2.3. Les transitions vers un meilleur statut au regard de l'emploi ont été assez rares -- Graphique 2.12. …”

Tabla de Contenidos: “…From Early thinker to Social Scientists -- 1 Knowledge and Wisdom Across Cultures -- 1.1 Introduction -- 1.2 Unabated Learning and Unbounded Knowledge -- 1.3 Pearls of Wisdom Along Highways of Time -- 1.4 Need for a Modern Science of Knowledge -- 1.5 Inception and Use of Business Machines -- 1.6 Information and its Current Deployment -- 1.6.1 Mostly Human: Senate, Legal, and Judiciary Use -- 1.6.2 Current - Organizational (Un, Church, Religious) -- 1.6.3 Evolving Use of Social Machines -- 1.6.4 Use of Federal and Legal Machines -- 1.7 Internet and Knowledge Revolution -- Conclusions -- References -- 2 From Philosophers to Knowledge Machines -- 2.1 Introduction -- 2.2 From Immanuel Kant to george Herbert Mead -- 2.2.1 Kant as a Meta-Physicist -- 2.2.2 Mead as a Social Psychologist -- 2.3 From Henry Ford to Peter Drucker -- 2.3.1 Ford and Model T Automobiles -- 2.3.2 Drucker and Management Sciences -- 2.3.3 The Unison of Social Sciences and Physical Sciences -- 2.3.4 Machine Architecture from Knowledge Functions -- 2.3.5 Generalization of the Structure of Knowledge Science -- Conclusions -- References -- 3 Affirmative Knowledge and Positive Human Nature -- 3.1 Introduction -- 3.2 Use of Scientific and AI-Based Machines -- 3.2.1 Evolving Use of Knowledge and Internet Machines -- 3.2.2 Incremental Changes in Society -- 3.3 Duality of Natural Forces and Human Traits -- 3.4 THE Fine Side of Human Nature -- 3.4.1 Integrated Changes in Society -- 3.4.2 Gradual Transition in the Knowledge Domain -- 3.4.3 Positive Social Change: Betterment and Enhancement -- Conclusions -- References -- 4 Negative Knowledge and Aggressive Human Nature -- 4.1 Introduction -- 4.2 The Coarse Side of Human Nature…”

Tabla de Contenidos: “…Research Management and Administration in Saudi Arabia: Transitioning from an oil to a knowledge-based economy / Silke Blohm-- Chapter 5.43. …”

Tabla de Contenidos: “…Intro -- Preface -- Organization -- Invited Talks -- How to Solve Math Problems Without Talent -- Bridging Formal Mathematics and Software Verification -- The Art of SMT Solving -- Contents - Part I -- Contents - Part II -- Contents - Part III -- Decision Procedures -- Split Gröbner Bases for Satisfiability Modulo Finite Fields -- 1 Introduction -- 1.1 Related Work -- 2 Background -- 3 Motivating Example -- 3.1 Verifying the Determinism of Num2Bits -- 3.2 The Challenge of Bit-Splitting -- 3.3 Cooperative Reasoning: A Path Forward -- 4 Approach -- 4.1 Split Gröbner bases -- 4.2 Abstract Procedure: Split -- 4.3 Concrete Procedure: BitSplit -- 5 Experiments -- 5.1 Benchmarks -- 5.2 Comparison to Prior Solvers -- 5.3 Comparison to Variants -- 6 Application -- 6.1 Background on Verifiable Field-Blasting -- 6.2 A New Strategy for Verifying Operator Rules -- 7 Conclusion -- A Additional Background -- B Computing Bitsum Usage in Real World Projects -- C Proof of Theorem 1 -- D Proof of Theorems 2 and 3 -- E Proof of Lemma 1 -- F The Seq Benchmark Family -- G Proof of Theorem 4 -- References -- Arithmetic Solving in Z3 -- 1 Introduction -- 2 Design Goals and Implementation Choices -- 3 Linear Real Arithmetic -- 3.1 Linear Solving -- 3.2 Finding Equal Variables - Cheaply -- 3.3 Bounds Propagation -- 4 Integer Linear Arithmetic -- 4.1 Patching -- 4.2 Cubes -- 4.3 GCD Consistency -- 4.4 Branching -- 4.5 Cuts -- 5 Non-linear Arithmetic -- 5.1 Patch Monomials -- 5.2 Bounds Propagation -- 5.3 Adding Bounds -- 5.4 Gröbner reduction -- 5.5 Incremental Linearization -- 5.6 NLSat -- 6 Shared Equalities -- 7 Evaluation -- 8 Summary and Discussion -- References -- Algebraic Reasoning Meets Automata in Solving Linear Integer Arithmetic -- 1 Introduction -- 2 Preliminaries -- 3 Classical Automata-Based Decision Procedure for LIA…”

Tabla de Contenidos: “…Intro -- Preface -- Organization -- Invited Talks -- How to Solve Math Problems Without Talent -- Bridging Formal Mathematics and Software Verification -- The Art of SMT Solving -- Contents - Part II -- Concurrency -- The VerCors Verifier: A Progress Report -- 1 Introduction -- 2 New and Improved Language Support -- 2.1 Improved Existing Language Support -- 2.2 Newly Supported Frameworks -- 2.3 Programming Languages Encoded into VerCors -- 3 VerCors Implementation Changes -- 4 Deriving Verified, Optimised Programs -- 5 Case Studies -- 5.1 Tunnel Control Software Components -- 5.2 Verification of Red-Black Trees and their Parallel Merge -- 5.3 GPU Case Studies -- 5.4 Student Projects -- 6 Conclusions, Related Work and Future Work -- References -- Parsimonious Optimal Dynamic Partial Order Reduction -- 1 Introduction -- 2 Main Concepts -- 3 Programs, Executions, and Equivalence -- 4 Design of the POP Algorithm -- 4.1 Parsimonious Race Reversals -- 4.2 The Parsimonious-OPtimal DPOR (POP) Algorithm -- 4.3 Parsimonious Sleep Set Characterization -- 5 Correctness and Space Complexity -- 6 Implementation and Evaluation -- 7 Related Work -- 8 Conclusion -- References -- Collective Contracts for Message-Passing Parallel Programs -- 1 Introduction -- 2 A Theory of Collective Contracts -- 2.1 Language -- 2.2 Semantics -- 2.3 Collective Correctness -- 2.4 Simulation -- 3 Collective Contracts for C/MPI -- 3.1 Background from MPI -- 3.2 Contract Structure -- 4 Evaluation -- 4.1 Collective Contract Examples -- 4.2 Bounded Verification of Collective Contracts -- 5 Related Work -- 6 Discussion -- References -- Distributed Systems -- mypyvy: A Research Platform for Verification of Transition Systems in First-Order Logic -- 1 Introduction -- 2 Modeling Language -- 2.1 Benchmarks -- 3 Satisfiability-Based Queries -- 3.1 Queries -- 3.2 Counterexamples…”

Tabla de Contenidos: “…13.15 Spectral Peak Location Algorithm -- 13.16 Computing Fft Twiddle Factors -- 13.17 Single Tone Detection -- 13.18 The Sliding Dft -- 13.19 The Zoom Fft -- 13.20 A Practical Spectrum Analyzer -- 13.21 An Efficient Arctangent Approximation -- 13.22 Frequency Demodulation Algorithms -- 13.23 Dc Removal -- 13.24 Improving Traditional Cic Filters -- 13.25 Smoothing Impulsive Noise -- 13.26 Efficient Polynomial Evaluation -- 13.27 Designing Very High-Order Fir Filters -- 13.28 Time-Domain Interpolation Using The Fft -- 13.29 Frequency Translation Using Decimation -- 13.30 Automatic Gain Control (Agc) -- 13.31 Approximate Envelope Detection -- 13.32 A Quadrature Oscillator -- 13.33 Specialized Exponential Averaging -- 13.34 Filtering Narrowband Noise Using Filter Nulls -- 13.35 Efficient Computation Of Signal Variance -- 13.36 Real-Time Computation Of Signal Averages And Variances -- 13.37 Building Hilbert Transformers From Half-Band Filters -- 13.38 Complex Vector Rotation With Arctangents -- 13.39 An Efficient Differentiating Network -- 13.40 Linear-Phase Dc-Removal Filter -- 13.41 Avoiding Overflow In Magnitude Computations -- 13.42 Efficient Linear Interpolation -- 13.43 Alternate Complex Down-Conversion Schemes -- 13.44 Signal Transition Detection -- 13.45 Spectral Flipping Around Signal Center Frequency -- 13.46 Computing Missing Signal Samples -- 13.47 Computing Large Dfts Using Small Ffts -- 13.48 Computing Filter Group Delay Without Arctangents -- 13.49 Computing A Forward And Inverse Fft Using A Single Fft -- 13.50 Improved Narrowband Lowpass Iir Filters -- 13.51 A Stable Goertzel Algorithm -- References -- A: The Arithmetic Of Complex Numbers -- A.1 Graphical Representation Of Real And Complex Numbers -- A.2 Arithmetic Representation Of Complex Numbers -- A.3 Arithmetic Operations Of Complex Numbers…”

Tabla de Contenidos: “…13.1.1 State-based regulation -- 13.1.2 Civil-based regulation -- 13.1.3 Co-regulation -- 13.2 Key lessons and recommendations of regulatory reviews to date -- 13.3 Multilateral and multiparty initiatives: the story so far -- 13.4 Moving forward amidst uncertainty -- References -- 4 SUSTAINABILITY -- 14 Exploring Boundaries Around the Safe Use of Advanced Materials: A Prospective Product-Based Case Studies Approach -- 14.1 Introduction -- 14.2 Defining advanced materials -- 14.3 Advanced material risks and safe use-a prospective product-based case study approach -- 14.4 Testing the prospective product case study methodology-an example using a hypothetical dynamic food product label -- 14.5 A prospective product case study-a graphene-based dynamic labels for food products -- 14.5.1 Product description -- 14.5.2 Material generation -- 14.5.3 Intermediary production -- 14.5.4 Final production -- 14.5.5 Product storage and transportation -- 14.5.6 Product use -- 14.5.7 Product disposal -- 14.5.8 Exposure potential -- 14.5.9 Risk red flags -- 14.5.10 Summary -- 14.6 Utility of the prospective product case study methodology -- Acknowledgments -- References -- 15 Nanomaterial Governance, Planetary Health, and the Sustainocene Transition -- 15.1 Introduction -- 15.2 Nanotechnology safety in global context -- 15.3 Regulatory uncertainty and nano-sunscreens -- 15.4 Regulatory uncertainty and nanosilver -- 15.5 Paths to greater nanoregulatory certainty -- 15.6 Reorienting global regulation so nanotechnology assists the Sustainocene -- 15.7 Reorienting the scientific quest toward nanotechnology's role with the Sustainocene -- 15.8 Rethinking the ethics of corporate globalization -- 15.9 Reorienting international law to nanotechnology's role with the Sustainocene -- 15.10 The moral culmination of nanoregulation in globalized artificial photosynthesis…”

Tabla de Contenidos: “…Data Subsets in Big Data: Neither Additive Nor Transitive -- Section 14.5. Additional Big Data Pitfalls -- Section 14.6. …”

Tabla de Contenidos: “…Cultural adoption and organizational readiness -- 16.1 Learning strategy in the organization -- 16.2 Share the vision across the organization -- 16.3 Lay the foundations for an e-Learning strategy -- 16.4 Implement the strategy -- 16.4.1 Integrate technologies -- 16.4.2 Do not "roll-out" -- 16.4.3 Culture change takes time -- 16.5 Transitioning to new roles -- 16.5.1 Overcoming resistance -- 16.5.2 Traditional training personnel in a new context -- 16.6 Assess the effectiveness of e-Learning -- 16.6.1 Ten things we know about good learning -- 16.6.2 Quality assurance -- Appendix A. …”

Tabla de Contenidos: “…Preface xiii Table of Engineering Applications xvii Part 1 Introduction 1 Mathematica Environment and Basic Syntax 3 1.1 Introduction 3 1.2 Selecting Notebook Characteristics 4 1.3 Notebook Cells 8 1.4 Delimiters 12 1.5 Basic Syntax 12 1.5.1 Introduction 12 1.5.2 Templates: Greek Symbols and Mathematical Notation 15 1.5.3 Variable Names and Global Variables 18 1.6 Mathematical Constants 19 1.7 Complex Numbers 21 1.8 Elementary, Trigonometric, Hyperbolic, and a Few Special Functions 22 1.9 Strings 25 1.9.1 String Creation: StringJoin[] and ToString[] 25 1.9.2 Labeled Output: Print[], NumberForm[], EngineeringForm[], and TraditionalForm[] 26 1.10 Conversions, Relational Operators, and Transformation Rule 28 1.11 Engineering Units and Unit Conversions: Quantity[] and UnitConvert[] 30 1.12 Creation of CDF Documents and Documents in Other Formats 33 1.13 Functions Introduced in Chapter 1 34 Exercises 35 2 List Creation and Manipulation: Vectors and Matrices 39 2.1 Introduction 39 2.2 Creating Lists and Vectors 39 2.2.1 Introduction 39 2.2.2 Creating a List with Table[] 45 2.2.3 Summing Elements of a List: Total[] 46 2.2.4 Selecting Elements of a List 47 2.2.5 Identifying List Elements Matching a Pattern: Position[] 49 2.3 Creating Matrices 51 2.3.1 Introduction 51 2.3.2 Matrix Generation Using Table[] 54 2.3.3 Accessing Elements of Arrays 55 2.4 Matrix Operations on Vectors and Arrays 56 2.4.1 Introduction 56 2.4.2 Matrix Inverse and Determinant: Inverse[] and Det[] 57 2.5 Solution of a Linear System of Equations: LinearSolve[] 58 2.6 Eigenvalues and Eigenvectors: EigenSystem[] 59 2.7 Functions Introduced in Chapter 2 61 References 61 Exercises 61 3 User-Created Functions, Repetitive Operations, and Conditionals 69 3.1 Introduction 69 3.2 Expressions and Procedures as Functions 69 3.2.1 Introduction 69 3.2.2 Pure Function: Function[] 74 3.2.3 Module[] 78 3.3 Find Elements of a List that Meet a Criterion: Select[] 80 3.4 Conditionals 82 3.4.1 If[] 82 3.4.2 Which[] 83 3.5 Repetitive Operations 83 3.5.1 Do[] 83 3.5.2 While[] 83 3.5.3 Nest[] 84 3.5.4 Map[] 84 3.6 Examples of Repetitive Operations and Conditionals 85 3.7 Functions Introduced in Chapter 3 92 Exercises 92 4 Symbolic Operations 95 4.1 Introduction 95 4.2 Assumption Options 101 4.3 Solutions of Equations: Solve[] 101 4.4 Limits: Limit[] 105 4.5 Power Series: Series[], Coefficient[], and CoefficientList[] 108 4.6 Optimization: Maximize[]/Minimize[] 112 4.7 Differentiation: D[] 114 4.8 Integration: Integrate[] 120 4.9 Solutions of Ordinary Differential Equations: DSolve[] 126 4.10 Solutions of Partial Differential Equations: DSolve[] 136 4.11 Laplace Transform: LaplaceTransform[] and InverseLaplaceTransform[] 138 4.12 Functions Introduced in Chapter 4 145 References 145 Exercises 146 5 Numerical Evaluations of Equations 151 5.1 Introduction 151 5.2 Numerical Integration: NIntegrate[] 151 5.3 Numerical Solutions of Differential Equations: NDSolveValue[] and ParametricNDSolveValue[] 154 5.4 Numerical Solutions of Equations: NSolve[] 178 5.5 Roots of Transcendental Equations: FindRoot[] 180 5.6 Minimum and Maximum: FindMinimum[] and FindMaximum[] 182 5.7 Fitting of Data: Interpolation[] and FindFit[] 186 5.8 Discrete Fourier Transforms and Correlation: Fourier[], InverseFourier[], and ListCorrelate[] 189 5.9 Functions Introduced in Chapter 5 194 References 195 Exercises 196 6 Graphics 209 6.1 Introduction 209 6.2 2D Graphics 209 6.2.1 Basic Plotting 209 6.2.2 Basic Graph Enhancements 213 6.2.3 Common 2D Shapes: Graphics[] 217 6.2.4 Additional Graph Enhancements 222 6.2.5 Combining Figures: Show[] and GraphicsGrid[] 238 6.2.6 Tooltip[] 241 6.2.7 Exporting Graphics 244 6.3 3D Graphics 244 6.4 Summary of Functions Introduced in Chapter 6 253 References 254 Exercises 254 7 Interactive Graphics 263 7.1 Interactive Graphics: Manipulate[] 263 References 287 Exercises 287 Part 2 Engineering Applications 8 Vibrations of Spring Mass Systems and Thin Beams 293 8.1 Introduction 293 8.2 Single Degree-of-Freedom Systems 294 8.2.1 Periodic Force on a Single Degree-of-Freedom System 294 8.2.2 Squeeze Film Damping and Viscous Fluid Damping 298 8.2.3 Electrostatic Attraction 302 8.2.4 Single Degree-of-Freedom System Energy Harvester 304 8.3 Two Degrees-of-Freedom Systems 307 8.3.1 Governing Equations 307 8.3.2 Response to Harmonic Excitation: Amplitude Response Functions 307 8.3.3 Enhanced Energy Harvester 310 8.4 Thin Beams 315 8.4.1 Natural Frequencies and Mode Shapes of a Cantilever Beam with In-Span Attachments 315 8.4.2 Effects of Electrostatic Force on the Natural Frequency and Stability of a Beam 318 8.4.3 Response of a Cantilever Beam with an In-Span Attachment to an Impulse Force 323 References 326 9 Statistics 327 9.1 Descriptive Statistics 327 9.1.1 Introduction 327 9.1.2 Location Statistics: Mean[], StandardDeviation[], and Quartile[] 327 9.1.3 Continuous Distribution Functions: PDF[] and CDF[] 329 9.1.4 Histograms and Probability Plots: Histogram[] and ProbabilityScalePlot [] 331 9.1.5 Whisker Plot: BoxWhiskerChart[] 332 9.1.6 Creating Data with Specified Distributions: RandomVariate[] 334 9.2 Probability of Continuous Random Variables 334 9.2.1 Probability for Different Distributions: NProbability[] 334 9.2.2 Inverse Cumulative Distribution Function: InverseCDF[] 337 9.2.3 Distribution Parameter Estimation: EstimatedDistribution[] and FindDistributionParameters[] 337 9.2.4 Confidence Intervals: CI[] 340 9.2.5 Hypothesis Testing: LocationTest[] and VarianceTest[] 342 9.3 Regression Analysis: LinearModelFit[] 343 9.3.1 Simple Linear Regression 343 9.3.2 Multiple Linear Regression 347 9.4 Nonlinear Regression Analysis: NonLinearModelFit[] 351 9.5 Analysis of Variance (ANOVA) and Factorial Designs: ANOVA[] 354 9.6 Functions Introduced in Chapter 9 358 10 Control Systems and Signal Processing 359 10.1 Introduction 359 10.2 Model Generation: State-Space and Transfer Function Representation 359 10.2.1 Introduction 359 10.2.2 State-Space Models: StateSpaceModel[] 360 10.2.3 Transfer Function Models: TransferFunctionModel[] 362 10.3 Model Connections Closed-Loop Systems and System Response: SystemsModelFeedbackConnect[] and SystemsModelSeriesConnect[] 363 10.4 Design Methods 369 10.4.1 Root Locus: RootLocusPlot[] 369 10.4.2 Bode Plot: BodePlot[] 371 10.4.3 Nichols Plot: NicholsPlot[] 372 10.5 Signal Processing 374 10.5.1 Filter Models: ButterworthFilterModel[], EllipticFilterModel[], ... 374 10.5.2 Windows: HammingWindow[], HannWindow[], ... 381 10.5.3 Spectrum Averaging 385 10.6 Aliasing 388 10.7 Functions Introduced in Chapter 10 390 Reference 391 11 Heat Transfer and Fluid Mechanics 393 11.1 Introduction 393 11.2 Conduction Heat Transfer 394 11.2.1 One-Dimensional Transient Heat Diffusion in Solids 394 11.2.2 Heat Transfer in Concentric Spheres: Ablation of a Tumor 398 11.2.3 Heat Flow Through Fins 401 11.3 Natural Convection Along Heated Plates 405 11.4 View Factor Between Two Parallel Rectangular Surfaces 408 11.5 Internal Viscous Flow 411 11.5.1 Laminar Flow in Horizontal Cylindrical Pipes 411 11.5.2 Flow in Three Reservoirs 412 11.6 External Flow 416 11.6.1 Pressure Coefficient of a Joukowski Airfoil 416 11.6.2 Surface Profile in Nonuniform Flow in Open Channels 419 References 423 Index 425.…”