Tabla de Contenidos: “…3.6.1 Radiative properties of CO2 and water vapour3.6.2 Dry and wet recycle and the effect on the radiative heat transfer; 3.6.3 Dry and wet recycle and the effect on the convective heat transfer; 3.7 Summary of Chapter 3; 4 Mathematical Modelling and Model Validations; 4.1 Turbulent combustion modelling; 4.1.1 Diffusive fluxes; 4.1.2 Mean reaction rate; 4.2 Coal particle modelling; 4.2.1 Devolatilisation models; 4.2.2 Char burnout models; 4.3 Modelling of thermal radiation; 4.3.1 Radiative properties of walls; 4.3.2 Modelling of gas emissivity; 4.4 Summary of Chapter 4; Part II: Experiments…”

Tabla de Contenidos: “…Laws of heredity and mathematics; 3.3.2. Haploid models; 3.3.3. Models with two genotypes and without mutations; 3.3.4. …”

Tabla de Contenidos: “…Traditional RF Process Technologies1.4.2 Deep-Submicron CMOS; 1.4.3 Digitally Intensive Approach; 1.4.4 System Integration; 1.4.5 System Integration Challenges for Deep-Submicron CMOS; 2 DIGITALLY CONTROLLED OSCILLATOR; 2.1 Varactor in a Deep-Submicron CMOS Process; 2.2 Fully Digital Control of Oscillating Frequency; 2.3 LC Tank; 2.4 Oscillator Core; 2.5 Open-Loop Narrowband Digital-to-Frequency Conversion; 2.6 Example Implementation; 2.7 Time-Domain Mathematical Model of a DCO; 2.8 Summary; 3 NORMALIZED DCO; 3.1 Oscillator Transfer Function and Gain; 3.2 DCO Gain Estimation…”

Tabla de Contenidos: “…2.4.3 Receiver Computation of UTC2.5 Example GPS Calculations with no Errors; 2.5.1 User Position Calculations; 2.5.2 User Velocity Calculations; Problems; 3 Signal Characteristics and Information Extraction; 3.1 Mathematical Signal Waveform Models; 3.2 GPS Signal Components, Purposes, and Properties; 3.2.1 50-bps (bits per second) Data Stream; 3.2.2 GPS Satellite Position Calculations; 3.2.3 C/A-Code and Its Properties; 3.2.4 P-Code and Its Properties; 3.2.5 L(1) and L(2) Carriers; 3.3 Signal Power Levels; 3.3.1 Transmitted Power Levels; 3.3.2 Free-Space Loss Factor…”

Tabla de Contenidos: “…Building an Algebraic Topological Model of Wireless Camera Networks; 4.1 Introduction; 4.2 Mathematical Background; 4.2.1 Simplicial Homology; 4.2.2 Example; 4.2.3 Cech Theorem; 4.3 The Camera and the Environment Models; 4.4 The CN-Complex; 4.5 Recovering Topology: 2D Case; 4.5.1 Algorithms; 4.5.2 Simulation in 2D; 4.6 Recovering Topology: 2.5D Case; 4.6.1 Mapping from 2.5D to 2D; 4.6.2 Building the CN-Complex…”

Tabla de Contenidos: “…Digital Signal and Image Processing using MATLAB; Contents; Preface; Notations and Abbreviations; Introduction to MATLAB; 1 Variables; 1.1 Vectors and matrices; 1.2 Arrays; 1.3 Cells and structures; 2 Operations and functions; 2.1 Matrix operations; 2.2 Pointwise operations; 2.3 Constants and initialization; 2.4 Predefined matrices; 2.5 Mathematical functions; 2.6 Matrix functions; 2.7 Other useful functions; 2.8 Logical operators on boolean variables; 2.9 Program loops; 3 Graphically displaying results; 4 Converting numbers to character strings; 5 Input/output; 6 Program writing…”

Tabla de Contenidos: “…Modules -- Modules and Packages -- Packages -- Custom Modules -- Overview of Python's Standard Library -- String Handling -- Command-Line Programming -- Mathematics and Numbers…”

Tabla de Contenidos: “…Theoretical background; 2.1.1. Mathematical model of 1D and 2D discrete-time signals; 2.1.2. …”

Tabla de Contenidos: “…2.5.2 Leadership and Top Management Support2.5.3 Industry and Government Development Policy; 2.6 Conclusions; Acknowledgments; References; 3 Supply Chain Finance: Concept and Modeling; 3.1 Inefficient Financial Supply Chain; 3.2 Introduction to SCF Solutions; 3.2.1 Preshipment Finance; 3.2.2 Transit Finance; 3.2.3 Postshipment Finance; 3.3 Mathematical Representations of Supply Chain Finance; 3.3.1 A Survey; 3.3.2 Approximate Dynamic Programming; 3.3.2.1 Key Modeling Components and Notational Style; 3.3.2.2 Curses of Dimensionality; 3.3.2.3 ADP Solution Algorithm Design…”

Tabla de Contenidos: “…; 3.1 Priors in the very beginning; 3.1.1 Priors as a basis for learning; 3.1.2 Priors and philosophy; 3.1.3 Prior chronology; 3.1.4 Pooling prior information; 3.2 Methodology I: Priors defined by mathematical criteria; 3.2.1 Conjugate priors; 3.2.2 Impropriety and hierarchical priors; 3.2.3 Zellner's g-prior for regression models; 3.2.4 Objective priors…”

Tabla de Contenidos: “…Numeric Data Types; 10.1 Numeric Types; 10.2 Numeric Type Conversion; 10.3 Four Function Arithmetic; 10.4 Arithmetic and NULLs; 10.5 Converting Values to and from NULL; 10.6 Mathematical Functions; 10.7 Unique Value Generators; 10.8 IP Addresses; Chapter 11. …”

Tabla de Contenidos: “…Part II CONTROL AND DYNAMICS4 Morphing Unmanned Air Vehicle Intelligent Shape and Flight Control; 4.1 Introduction; 4.2 A-RLC Architecture Functionality; 4.3 Learning Air Vehicle Shape Changes; 4.3.1 Overview of Reinforcement Learning; 4.3.2 Implementation of Shape Change Learning Agent; 4.4 Mathematical Modeling of Morphing Air Vehicle; 4.4.1 Aerodynamic Modeling; 4.4.2 Constitutive Equations; 4.4.3 Model Grid; 4.4.4 Dynamical Modeling; 4.4.5 Reference Trajectory; 4.4.6 Shape Memory Alloy Actuator Dynamics; 4.4.7 Control Effectors on Morphing Wing; 4.5 Morphing Control Law…”

Tabla de Contenidos: “…Controlling a For Loop Using Next; 7. Operators; 7.2. Mathematical Operators; 7.2.2. The modulus Operator (Mod) to Return Remainders; 7.2.3. …”

Tabla de Contenidos: “…Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Preface -- Introduction -- Audience -- Course Adoption -- Errors -- Acknowledgments -- About the Authors -- Chapter 1: Data Collection and Cleaning -- Data-Collection Strategies -- Data Preprocessing Strategies -- Programming with R -- Data Types in R -- Data Structures in R -- Package Installation in R -- Reading and Writing Data in R -- Using the FOR Loop in R -- Using the WHILE Loop in R -- Using the IF-ELSE Statement in R -- Programming with Python -- Data Wrangling and Analytics in R and Python -- Structuring and Cleaning Data -- Missing Data -- Strategies for Dealing with Missing Data -- Data Deduplication -- Summary -- Exercise -- Notes -- References -- Chapter 2: Mathematical Background for Predictive Analytics -- Basics of Linear Algebra -- Vectors and Matrices -- Determinant -- Simple Linear Regression (SLR) -- Principal Component Analysis (PCA) -- Singular Value Decomposition (SVD) -- Introduction to Neural Networks -- Summary -- Exercise -- References -- Chapter 3: Introduction to Statistics, Probability, and Information Theory for Analytics -- Normal Distribution and the Central Limit Theorem -- Pearson Correlation Coefficient and Covariance -- Basic Probability for Predictive Analytics -- Conditional Probability -- Bayes' Theorem and Bayesian Classifiers -- Information Theory for Predictive Modeling -- Summary -- Exercise -- Notes -- References -- Chapter 4: Introduction to Machine Learning -- Statistical versus Machine Learning Models -- Regression Techniques -- Multiple Linear Regression (MLR) Model -- Assumptions of MLR -- Introduction to Multinomial Logistic Regression (MLogR) -- Bias versus Variance Trade-off -- Overfitting and Underfitting -- Regularization -- Ridge Regression -- Lasso Regression -- Summary -- Exercise…”

Tabla de Contenidos: “…4.5.1 Inconsistent Macroeconomic Policy Models -- 4.5.2 Self-Fulfilling Expectations Models -- 4.5.3 Asymmetric Information Models -- 4.5.4 Credit Constraint and Balance Sheet Models -- 4.5.5 Endogenous Financial Crisis Models -- 4.5.6 An Assessment -- 4.6 A Comparison with Standard Business Cycle Theory -- 4.6.1 Theories of Endogenous Business Cycles -- 4.6.2 Theories of Exogenous Shock-Driven Business Cycles -- 4.6.3 An Assessment -- 4.7 Mathematical Supplements -- 5 A Model of Financial Crises and Endogenous Fluctuations in Emerging Market Countries -- 5.1 The Real Side -- 5.2 The Financial Side -- 5.2.1 A Stylized Financial Structure -- 5.2.2 Financial Market Equilibria -- 5.3 Short-Run Comparative-Static Analysis -- 5.3.1 General Results -- 5.3.2 A Comparative-Static View of Financial Crises -- 5.4 Long-Run Dynamic Analysis -- 5.4.1 Finance, Investment and Long-Run Profit Expectations -- 5.4.2 The Local Dynamics of the System -- 5.4.3 Phase Diagram Analysis -- 5.4.4 The Global Dynamics of the System -- 5.4.5 A Dynamic View of Financial Crises and Macroeconomic Fluctuations -- 5.4.5.1 The Emergence of Endogenous Long-Run Equilibrium Business Cycles -- 5.4.5.2 Domestic Financial Crisis without Currency Crisis -- 5.4.5.3 The Occurrence of a Twin Crisis -- 5.4.6 A Keynesian Perspective on Global Dynamics -- 5.5 A Comparison with Standard Theory of Financial Crises -- 5.5.1 Inconsistent Macroeconomic Policy Models -- 5.5.2 Self-Fulfilling Expectations Models -- 5.5.3 Asymmetric Information Models -- 5.5.4 Credit Constraint and Balance Sheet Models -- 5.5.5 Endogenous Financial Crisis Models -- 5.5.6 An Assessment -- 5.6 A Comparison with Standard Business Cycle Theory -- 5.7 Mathematical Supplements -- 6 A Calibration Model of Financial Crises in Emerging Markets -- 6.1 The Nature of Calibration Models…”

Tabla de Contenidos: “…-- One-way functions -- Mathematical properties -- Candidate one-way functions -- Hash functions -- Collision resistance -- One-way property -- Merkle-Damgard construction -- Sponge construction -- Message authentication codes -- How to compute a MAC -- HMAC construction -- MAC versus CRC -- Hash functions in TLS 1.3 -- Hash functions in ClientHello -- Hash Functions in TLS 1.3 signature schemes -- SHA-1 -- SHA-256, SHA-384, and SHA-512 hash functions -- Hash functions in authentication-related messages -- The CertificateVerify message -- The Finished message -- Transcript hash -- Hash functions in TLS key derivation -- Summary -- Chapter 12: Secrets and Keys in TLS 1.3 -- Key establishment in TLS 1.3 -- TLS secrets -- Early secret -- Binder key -- Bob's client early traffic secret. -- Exporter secrets -- Derived secrets -- Handshake secret -- Handshake traffic secrets -- Master secret -- Application traffic secrets -- Resumption master secret -- KDFs in TLS -- HKDF-Extract -- HKDF-Expand -- HKDF-Expand-Label -- Derive-Secret -- Updating TLS secrets -- TLS keys -- Exporter values -- Generation of TLS keys -- Key update -- TLS key exchange messages…”

Tabla de Contenidos: “…-- Adding ImGui to the OpenGL and Vulkan renderers -- Adding the headers to the OpenGL renderer -- Adding the headers to the Vulkan renderer -- CMake adjustments needed for ImGui -- Moving the shared data to the OGLRenderData header -- Creating the UserInterface class -- Adding the implementation of the UserInterface class -- Adding the UserInterface class to the OpenGL renderer -- Creating an FPS counter -- Using GLFW as a simple timer -- Adding the values to the user interface -- Timing sections of your code and showing the results -- Adding the Timer class -- Integrating the new Timer class into the renderer -- Adding UI elements to control the application -- Adding a checkbox -- Adding a button to switch between the shaders -- Adding a slider to control the field of view -- Summary -- Practical sessions -- Additional resources -- Part 2: Mathematics Roundup -- Chapter 6: Understanding Vector and Matrix…”

Tabla de Contenidos: “…1.2 Features you'll find in this book and others in this series, 1.2.1 Chapter Context, 1.2.2 The Lighter Side (humour), 1.2.3 Quotations, 1.2.4 Definitions, 1.2.5 Discussions and Explanations with a Mathematical Slant for Formula-philes, 1.2.6 Discussions and Explanations without a Mathematical Slant for Formula-phobes, 1.2.7 Caveat Augur, 1.2.8 Worked Examples, 1.2.9 Useful Microsoft Excel Functions and Facilities, 1.2.10 References to Authoritative Sources, 1.2.11 Chapter Reviews, 1.3 Overview of Chapters in this Volume, 1.4 Elsewhere in the 'Working Guide to Estimating & Forecasting' Series, 1.4.1 Volume I: Principles, Process and Practice of Professional Number Juggling, 1.4.2 Volume II: Probability, Statistics and other Frightening Stuff, 1.4.3 Volume III: Best Fit Lines & Curves, and some Mathe-Magical Transformations, 1.4.4 Volume IV: Learning, Unlearning and Re-Learning Curves, 1.4.5 Volume V: Risk, Opportunity, Uncertainty and Other Random Models, 1.5 Final Thoughts and Musings on this Volume and Series, References, 2 Methods, Approaches, Techniques and Related Terms, 2.1 What is the Difference between a Method, Approach and Technique? …”

Tabla de Contenidos: “…SENIORS IN CARACAS -- CAPÍTULO 66 NEUROMOTRICITY AND MATHEMATICS IN CHILDREN: METHODOLOGICAL APPROACH BASED ON RHYTHMIC-MOTOR ACTIVITIES -- CAPÍTULO 67 TRANSFORMACIONES EN UN PROGRAMA DE POSGRADO DE UNA UNIVERSIDAD PÚBLICA MEXICANA, TRAS LA PANDEMIA -- CAPÍTULO 68 HOW TO TEACH BODY PERCUSSION THROUGH NEUROMOTRICITY IN THE BAPNE METHOD -- CAPÍTULO 69 BODY PERCUSSION RESEARCH AS AN OBJECT OF STUDY BASED ON NEUROMOTRICITY AND EXECUTIVE FUNCTIONS: RESEARCH DESIGN -- CAPÍTULO 70 UNA EDUCACIÓN SEXUAL INTEGRAL EN EL QUICIO DE LA INNOVACIÓN EDUCATIVA -- CAPÍTULO 71 METODOLOGÍA ACTIVA PARA LA ENSEÑANZA DEL PATRIMONIO CULTURAL EN EL GRADO DE PRIMARIA: LAS NARRATIVAS URBANAS. -- CAPÍTULO 72 EDUCACIÓN INFANTIL3: AUNANDO LAS METODOLOGÍAS DOCENTES ACTIVAS, LA EDUCACIÓN PARA LA SOSTENIBILIDAD Y LAS COMPETENCIAS TRANSVERSALES -- CAPÍTULO 73 ESTUDIO DE LA EDUCACIÓN PRESENCIAL: A DISTANCIA E HÍBRIDA EN ALUMNOS DE BACHILLERATO EN LA PANDEMIA EN MÉXICO -- CAPÍTULO 74 EVALUACIÓN DEL GRADO DE SATISFACCIÓN DEL TUTOR DEL CENTRO DE PRÁCTICAS ESCOLARES -- CAPÍTULO 75 METODOLOGÍA DESIGN THINKING PARA LA MEJORA DE LA FORMACIÓN EN ROLES DE LIDERAZGO EN LA FORMACIÓN DEL PROFESORADO Y DE LOS FUTUROS LIDERES DE CENTROS EDUCATIVOS -- CAPÍTULO 76 REVISIÓN SISTEMÁTICA SOBRE EL PENSAMIENTO COMPUTACIONAL EN EL ÁMBITO DE EDUCACIÓN SECUNDARIA -- Back Matter…”

“…This approach is interdisciplinary: it directly involves the fields of psychology, psychotherapy, linguistics, computer science, mathematics (graph theory), history of psychology, literature, and motion pictures. …”