Tabla de Contenidos: “…Number Theory and Modern Algebra -- 5.1: Prime Numbers -- 5.2: Modular Arithmetic and the Euclidean Algorithm -- 5.3: Modular Multiplication -- 5.4: The Theorems of Fermat and Euler -- 5.5: Fields and Extension Fields -- 5.6: Factorization of Integers -- 5.7: Testing Primality -- 6. …”

Tabla de Contenidos: “…CoVacciDrone: An Algorithmic-Drone-Based COVID-19 Vaccine Distribution Strategy -- 5.1 Introduction -- 5.2 Dividing Sections into COVID Divisions with Voronoi Diagrams -- 5.3 Cost Optimization with Dynamic Connectivity -- 5.4 Dynamic Connectivity with Euler Tour Trees -- 5.5 Dynamic Connectivity with Cut-sets -- 5.6 Results and Observation -- References -- 6. …”

Tabla de Contenidos: “…Authorization and authenticated key establishment -- Message authentication versus entity authentication -- Password-based authentication -- Brief history of password-based authentication -- Storing passwords -- Disadvantages of password-based authentication -- Challenge-response protocols -- Ensuring freshness -- Challenge-response using symmetric keys -- Challenge-response using (keyed) one-way functions -- Challenge-response using public-key cryptography -- Summary -- Chapter 6: Transport Layer Security at a Glance -- Birth of the World Wide Web -- Early web browsers -- From SSL to TLS -- TLS overview -- TLS terminology -- CIA triad in TLS -- TLS within the internet protocol stack -- TLS version 1.2 -- Subprotocols in TLS version 1.2 -- A typical TLS 1.2 connection -- Algorithm negotiation -- Key establishment -- Server authentication -- Client authentication -- Session resumption -- TLS version 1.3 -- Handshake protocol -- Error handling in the TLS 1.3 handshake -- Session resumption and PSKs -- Zero round-trip time mode -- Major differences between TLS versions 1.3 and 1.2 -- Summary -- Part 2: Shaking Hands -- Chapter 7: Public-Key Cryptography -- Preliminaries -- Groups -- Examples of groups -- The discrete logarithm problem -- The Diffie-Hellman key-exchange protocol -- Security of Diffie-Hellman key exchange -- Discrete logarithm problem -- The Diffie-Hellman problem -- Authenticity of public keys -- The ElGamal encryption scheme -- Finite fields -- Fields of order p -- Fields of order pk -- The RSA algorithm -- Euler's totient function -- Key pair generation -- The encryption function -- The decryption function -- Security of the RSA algorithm -- The factoring problem -- The RSA problem -- Authenticity of public keys -- Authenticated key agreement -- The Station-to-Station (STS) protocol -- Public-key cryptography in TLS 1.3.…”

Tabla de Contenidos: “…-- Imaginary and complex numbers -- The discovery of the quaternion -- Creating a quaternion -- Quaternion operations and transformations -- Exploring vector rotation -- The Euler rotations -- The gimbal lock -- Rotating using quaternions -- Incremental rotations -- Using quaternions for smooth rotations -- A quick take on splines -- Constructing a Hermite spline -- Spline continuity -- Hermite polynomials -- Combining quaternions and splines -- Summary -- Practical sessions -- Additional resources -- Part 3: Working with Models and Animations -- Chapter 8: Loading Models in the glTF Format -- Technical requirements -- An analysis of the glTF file format -- Exploring an example glTF file -- Understanding the scenes element -- Finding the nodes and meshes -- Decoding the raw data in the buffers element -- Understanding the accessor element…”

Tabla de Contenidos: “…Condiciones de segundo orden -- Funciones implícitas -- Derivadas de las funciones implícitas -- Teorema de la función implícita -- El teorema de la envolvente -- Un ejemplo específico -- Un arduo planteamiento directo -- El atajo de la envolvente -- El caso de muchas variables -- Maximización con restricciones -- El método del multiplicador lagrangiano -- El problema formal -- Condiciones de primer orden -- Interpretación del multiplicador lagrangiano -- El multiplicador lagrangiano como proporción de costos a beneficios -- El teorema de la envolvente en problemas de maximización con restricciones -- Restricciones de desigualdad -- Un ejemplo con dos variables -- Variables de holgura -- Solución con el método de Lagrange -- Flexibilidad complementaria -- Condiciones de segundo orden -- Funciones con una variable -- Funciones con dos variables -- Un argumento intuitivo -- Un análisis formal -- Funciones cóncavas -- Maximización con restricciones -- Funciones cuasi cóncavas -- Funciones homogéneas -- Homogeneidad y derivadas -- Teorema de Euler -- Funciones homotéticas -- Resumen -- Problemas -- Lecturas Recomendadas -- Ampliaciones Condiciones de segundo orden y álgebra matricial -- PARTE 2 ELECCIÓN Y DEMANDA -- Capítulo 3 PREFERENCIAS Y UTILIDAD -- Axiomas de la elección racional -- Utilidad -- Ausencia de unicidad en las mediciones de la utilidad -- El supuesto ceteris paribus -- Utilidad derivada del consumo de bienes -- Argumentos de las funciones de utilidad -- DEFINICIÓN Utilidad. -- Bienes económicos -- Intercambios y sustitución -- Curvas de indiferencia y tasa marginal de sustitución -- DEFINICIÓN Curva de indiferencia. -- DEFINICIÓN Tasa marginal de sustitución. -- Mapa de curvas de indiferencia -- Curvas de indiferencia y transitividad -- Convexidad de las curvas de indiferencia -- Convexidad y equilibrio en el consumo…”

Tabla de Contenidos: “…Chapter 13 Dynamics of Self-propelled Launch Systems -- 13.1 Introduction -- 13.2 Dynamics Model of the System and its Topology -- 13.3 State Vector, Transfer Equation and Transfer Matrix -- 13.4 Overall Transfer Equation of the System -- 13.5 Vibration Characteristics of the System -- 13.6 Dynamic Response of the System -- 13.7 Launch Dynamic Equations and Forces Analysis -- 13.8 Dynamics Simulation of the System and its Test Verifying -- Chapter 14 Dynamics of Shipboard Launch Systems -- 14.1 Introduction -- 14.2 Dynamics Model of Shipboard Launch Systems -- 14.3 State Vector, Transfer Equation and Transfer Matrix -- 14.4 Overall Transfer Equation of the System -- 14.5 Launch Dynamics Equation and Forces of the System -- 14.6 Solution of Shipboard Launch System Motion -- 14.7 Dynamics Simulation of the System and its Test Verifying -- Chapter 15 Transfer Matrix Library for Multibody Systems -- 15.1 Introdution -- 15.2 Springs -- 15.3 Rotary Springs -- 15.4 Elastic Hinges -- 15.5 Lumped Mass Vibrating in a Longitudinal Direction -- 15.6 Vibration of Rigid Bodies -- 15.7 Beam with Transverse Vibration -- 15.8 Shaft with Torsional Vibration -- 15.9 Rod with Longitudinal Vibration -- 15.10 Euler-Bernoulli Beam -- 15.11 Rectangular Plate -- 15.12 Disk -- 15.13 Strip Element of a Two-dimensional Thin Plate -- 15.14 Thick-walled Cylinder -- 15.15 Thin-walled Cylinder -- 15.16 Coordinate Transformation Matrix -- 15.17 Linearization and State Vectors -- 15.18 Spring and Damper Hinges Connected to Rigid Bodies -- 15.19 Smooth Hinges Connected to Rigid Bodies -- 15.20 Rigid Bodies Moving in a Plane -- 15.21 Spatial Rigid Bodies with Large Motion and Various Connections -- 15.22 Planar Beam with Large Motion -- 15.23 Spatial Beam with Large Motion -- 15.24 Fixed Hinges Connected to a Planar Beam with Large Motion…”

Tabla de Contenidos: “…Machine generated contents note: Preface List of Abbreviations 1 Introduction 1.1 Forward Problem 1.2 Inverse Problem 1.3 Issues in Inverse Problem Solving 1.4 Linear, Nonlinear and Linearized Problems 2 Signal and System as Vectors 2.1 Vector Space 2.1.1 Vector Space and Subspace 2.1.2 Basis, Norm and Inner Product 2.1.3 Hilbert Space 2.2 Vector Calculus 2.2.1 Gradient 2.2.2 Divergence 2.2.3 Curl 2.2.4 Curve 2.2.5 Curvature 2.3 Taylor's Expansion 2.4 Linear System of Equations 2.4.1 Linear System and Transform 2.4.2 Vector Space of Matrix 2.4.3 Least Square Solution 2.4.4 Singular Value Decomposition (SVD) 2.4.5 Pseudo-inverse 2.5 Fourier Transform 2.5.1 Series Expansion 2.5.2 Fourier Transform 2.5.3 Discrete Fourier Transform (DFT) 2.5.4 Fast Fourier Transform (FFT) 2.5.5 Two-dimensional Fourier Transform References 3 Basics for Forward Problem 3.1 Understanding PDE using Images as Examples 3.2 Heat Equation 3.2.1 Formulation of Heat Equation 3.2.2 One-dimensional Heat Equation 3.2.3 Two-dimensional Heat Equation and Isotropic Diffusion 3.2.4 Boundary Conditions 3.3 Wave Equation 3.4 Laplace and Poisson Equations 3.4.1 Boundary Value Problem 3.4.2 Laplace Equation in a Circle 3.4.3 Laplace Equation in Three-dimensional Domain 3.4.4 Representation Formula for Poisson Equation References 4 Analysis for Inverse Problem 4.1 Examples of Inverse Problems in Medical Imaging 4.1.1 Electrical Property Imaging 4.1.2 Mechanical Property Imaging 4.1.3 Image Restoration 4.2 Basic Analysis 4.2.1 Sobolev Space 4.2.2 Some Important Estimates 4.2.3 Helmholtz Decomposition 4.3 Variational Problems 4.3.1 Lax-Milgram Theorem 4.3.2 Ritz Approach 4.3.3 Euler-Lagrange Equations 4.3.4 Regularity Theory and Asymptotic Analysis 4.4 Tikhonov Regularization and Spectral Analysis 4.4.1 Overview of Tikhonov Regularization 4.4.2 Bounded Linear Operators in Banach Space 4.4.3 Regularization in Hilbert Space or Banach Space 4.5 Basics of Real Analysis 4.5.1 Riemann Integrable 4.5.2 Measure Space 4.5.3 Lebesgue Measurable Function 4.5.4 Pointwise, Uniform, Norm Convergence and Convergence in Measure 4.5.5 Differentiation Theory References 5 Numerical Methods 5.1 Iterative Method for Nonlinear Problem 5.2 Numerical Computation of One-dimensional Heat equation 5.2.1 Explicit Scheme 5.2.2 Implicit Scheme 5.2.3 Crank-Nicolson Method 5.3 Numerical Solution of Linear System of Equations 5.3.1 Direct Method using LU Factorization 5.3.2 Iterative Method using Matrix Splitting 5.3.3 Iterative Method using Steepest Descent Minimization 5.3.4 Conjugate Gradient (CG) Method 5.4 Finite Difference Method (FDM) 5.4.1 Poisson Equation 5.4.2 Elliptic Equation 5.5 Finite Element Method (FEM) 5.5.1 One-dimensional Model 5.5.2 Two-dimensional Model 5.5.3 Numerical Examples References 6 CT, MRI and Image Processing Problems 6.1 X-ray CT 6.1.1 Inverse Problem 6.1.2 Basic Principle and Nonlinear Effects 6.1.3 Inverse Radon Transform 6.1.4 Artifacts in CT 6.2 MRI 6.2.1 Basic Principle 6.2.2 K-space Data 6.2.3 Image Reconstruction 6.3 Image Restoration 6.3.1 Role of p in (6.35) 6.3.2 Total Variation Restoration 6.3.3 Anisotropic Edge-preserving Diffusion 6.3.4 Sparse Sensing 6.4 Segmentation 6.4.1 Active Contour Method 6.4.2 Level Set Method 6.4.3 Motion Tracking for Echocardiography References 7 Electrical Impedance Tomography 7.1 Introduction 7.2 Measurement Method and Data 7.2.1 Conductivity and Resistance 7.2.2 Permittivity and Capacitance 7.2.3 Phasor and Impedance 7.2.4 Admittivity and Trans-impedance 7.2.5 Electrode Contact Impedance 7.2.6 EIT System 7.2.7 Data Collection Protocol and Data Set 7.2.8 Linearity between Current and Voltage 7.3 Representation of Physical Phenomena 7.3.1 Derivation of Elliptic PDE 7.3.2 Elliptic PDE for Four-electrode Method 7.3.3 Elliptic PDE for Two-electrode Method 7.3.4 Min-max Property of Complex Potential 7.4 Forward Problem and Model 7.4.1 Continuous Neumann-to-Dirichlet Data 7.4.2 Discrete Neumann-to-Dirichlet Data 7.4.3 Nonlinearity between Admittivity and Voltage 7.5 Uniqueness Theory and Direct Reconstruction Method 7.5.1 Calderon's Approach 7.5.2 Uniqueness and Three-dimensional Reconstruction: Infinite Measurements 7.5.3 Nachmann's D-bar Method in Two Dimension 7.6 Backprojection Algorithm 7.7 Sensitivity and Sensitivity Matrix 7.7.1 Perturbation and Sensitivity 7.7.2 Sensitivity Matrix 7.7.3 Linearization 7.7.4 Quality of Sensitivity Matrix 7.8 Inverse Problem of EIT 7.8.1 Inverse Problem of RC Circuit 7.8.2 Formulation of EIT Inverse Problem 7.8.3 Ill-posedness of EIT Inverse Problem 7.9 Static Imaging 7.9.1 Iterative Data Fitting Method 7.9.2 Static Imaging using 4-channel EIT System 7.9.3 Regularization 7.9.4 Technical Difficulty of Static Imaging 7.10 Time-difference Imaging 7.10.1 Data Sets for Time-difference Imaging 7.10.2 Equivalent Homogeneous Admittivity 7.10.3 Linear Time-difference Algorithm using Sensitivity Matrix 7.10.4 Interpretation of Time-difference Image 7.11 Frequency-difference Imaging 7.11.1 Data Sets for Frequency-difference Imaging 7.11.2 Simple Difference Ft,ω2− Ft,ω1 7.11.3 Weighted Difference Ft,ω2− [alpha] Ft,ω1 7.11.4 Linear Frequency-difference Algorithm using Sensitivity Matrix 7.11.5 Interpretation of Frequency-difference Image References 8 Anomaly Estimation and Layer Potential Techniques 8.1 Harmonic Analysis and Potential Theory 8.1.1 Layer Potentials and Boundary Value Problems for Laplace Equation 8.1.2 Regularity for Solution of Elliptic Equation along Boundary of Inhomogeneity 8.2 Anomaly Estimation using EIT 8.2.1 Size Estimation Method 8.2.2 Location Search Method 8.3 Anomaly Estimation using Planar Probe 8.3.1 Mathematical Formulation 8.3.2 Representation Formula References 9 Magnetic Resonance Electrical Impedance Tomography 9.1 Data Collection using MRI 9.1.1 Measurement of Bz 9.1.2 Noise in Measured Bz Data 9.1.3 Measurement of B = (Bx,By,Bz) 9.2 Forward Problem and Model Construction 9.2.1 Relation between J , Bz and σ 9.2.2 Three Key Observations 9.2.3 Data Bz Traces σ∇u © e z-directional Change of σ 9.2.4 Mathematical Analysis toward MREIT Model 9.3 Inverse Problem Formulation using B or J 9.4 Inverse Problem Formulation using Bz 9.4.1 Model with Two Linearly Independent Currents 9.4.2 Uniqueness 9.4.3 Defected Bz Data in a Local Region 9.5 Image Reconstruction Algorithm 9.5.1 J-substitution Algorithm 9.5.2 Harmonic Bz Algorithm 9.5.3 Gradient Bz Decomposition and Variational Bz Algorithm 9.5.4 Local Harmonic Bz Algorithm 9.5.5 Sensitivity Matrix Based Algorithm 9.5.6 Anisotropic Conductivity Reconstruction Algorithm 9.5.7 Other Algorithms 9.6 Validation and Interpretation 9.6.1 Image Reconstruction Procedure using Harmonic Bz Algorithm 9.6.2 Conductivity Phantom Imaging 9.6.3 Animal Imaging 9.6.4 Human Imaging 9.7 Applications References 10 Magnetic Resonance Elastography 10.1 Representation of Physical Phenomena 10.1.1 Overview of Hooke's Law 10.1.2 Strain Tensor in Lagrangian Coordinates 10.2 Forward Problem and Model 10.3 Inverse Problem in MRE 10.4 Reconstruction Algorithms 10.4.1 Reconstruction of [mu] with the Assumption of Local Homogeneity 10.4.2 Reconstruction of [mu] without the Assumption of Local Homogeneity 10.4.3 Anisotropic Elastic Moduli Reconstruction 10.5 Technical Issues in MRE References…”

Tabla de Contenidos: “…Measuring Young's modulus for copper or steel wires, etc. by the loading and unloading methods -- 20.2 ♣ Beam deflection - Euler-Bernoulli theory -- 20.2.1 ♣ Beam deflection -- 20.2.2 Light cantilever supporting a weight -- 20.2.3 Cantilever subjected to bending by its own weight -- 20.3 ♣ Vibrations of a cantilever beam -- 20.3.1 ♣ Vibrations of a cantilever beam -- 20.3.2 ♣ Vibrations of a bar with both ends free -- 20.3.3 Project 52. …”

Tabla de Contenidos: “…2.7.1 Composition of the Atmosphere: The Troposphere, Stratosphere, Mesosphere, Ionosphere and Exosphere -- 2.7.2 Air Density -- 2.7.3 Temperature -- 2.7.4 Pressure -- 2.7.5 Effects of Pressure and Temperature -- 2.7.6 Viscosity -- 2.7.7 Bulk Modulus of Elasticity -- 2.7.8 Temperature Variations with Altitude: The Lapse Rate -- 2.8 International Standard Atmosphere (from ESDU 77021, 1986) -- 2.9 Generation of Lift and Drag -- 2.10 Aerodynamic Forces and Moments -- 2.10.1 Aerodynamic Coefficients -- 2.10.2 Aerofoil Drag -- 2.10.3 Aircraft Lift Equation and Lift Curve Slope -- 2.10.4 Centre of Pressure -- 2.10.5 Aerodynamic Centre -- 2.10.6 Pitching Moment Equation -- 2.10.7 Elevator Hinge Moment Coefficient -- Chapter Highlights -- Exercises -- Answers to Selected Exercises -- References -- Chapter 3 Mechanics of Equilibrium Flight -- 3.1 Introduction -- 3.2 Speeds of Equilibrium Flight -- 3.3 Basic Aircraft Performance -- 3.3.1 Optimum Flight Speeds -- 3.4 Conditions for Minimum Drag -- 3.5 Stability in the Vicinity of the Minimum Drag Speed -- 3.6 Range and Endurance Estimation -- 3.7 Trim -- 3.8 Stability of Equilibrium Flight -- 3.9 Longitudinal Static Stability -- 3.9.1 Neutral Point (Stick-Fixed) -- 3.9.2 Neutral Point (Stick-Free) -- 3.10 Manoeuvrability -- 3.10.1 Pull-Out Manoeuvre -- 3.10.2 Manoeuvre Margin: Stick-Fixed -- 3.10.3 Manoeuvre Margin: Stick-Free -- 3.11 Lateral Stability and Stability Criteria -- 3.12 Experimental Determination of Aircraft Stability Margins -- 3.13 Summary of Equilibrium- and Stability-Related Equations -- Chapter Highlights -- Exercises -- Answers to Selected Exercises -- References -- Chapter 4 Aircraft Non-Linear Dynamics: Equations of Motion -- 4.1 Introduction -- 4.2 Aircraft Dynamics -- 4.3 Aircraft Motion in a 2D Plane -- 4.4 Moments of Inertia -- 4.5 Euler's Equations and the Dynamics of Rigid Bodies…”

Tabla de Contenidos: “…I.6.6 Sharp: Selective Combination -- I.7 Indexing Language -- I.8 Indexing Process -- I.9 Effectiveness of Index -- I.10 Advantages of Index/Indexing -- References -- J Indexing Language -- J.1 Introduction -- J.2 Natural Language (NL) -- J.3 Indexing Language (IL) -- J.3.1 Difference from NL -- J.4 Types of SIL -- J.5 Attributes of SIL -- J.5.1 Vocabulary Control -- J.5.2 Concept Coordination -- J.5.3 Multiple Accesses -- J.5.4 Syndetic Devices -- J.5.5 Relation Manifestation -- J.5.5.1 Paradigmatic Relation -- J.5.5.2 Syntagmatic Relation -- J.5.6 Structural Presentation -- J.6 Theory of SIL -- J.6.1 SIL as Classificatory Language -- J.6.2 Features of SIL -- J.6.3 Postulates and Working Concepts -- J.6.4 Deep Structure of SIL -- J.6.4.1 Postulates of Deep Structure -- J.6.5 Implications of General Theory of SIL -- References -- K Controlled Vocabulary (CV) -- K.1 Introduction -- K.2 Definition of CV -- K.3 Characteristics of CV -- K.4 Types of CV -- K.4.1 Subject Authority List -- K.4.2 Taxonomy -- K.4.3 Subject Heading List -- K.4.4 Classification Scheme -- K.4.5 Thesaurus -- K.4.5.1 Definition of Thesaurus -- K.4.5.2 Difference from S H List -- K.4.5.3 Similar Tools and Concepts -- K.4.5.4 Scope and Size of Thesaurus -- K.4.5.5 Need and Characteristics of Thesaurus -- K.4.5.6 Types of Thesaurus -- K.4.5.7 Internal Structure of Thesaurus -- K.4.5.8 Relationships Between Terms -- K.4.5.9 Display of Relations -- Display Using Abbreviations -- Display Using Symbols -- Graphic Display -- Tree Structure -- Arrowgraph -- Euler Diagram -- Format of Display -- K.4.5.10 Method of Compilation -- K.4.5.11 Advantages of Thesaurus -- K.4.5.12 Use of Thesaurus -- K.4.5.13 Evaluation of Thesaurus -- K.4.6 Ontology -- K.4.7 Synonym Ring List -- K.4.8 Folksonomy -- K.5 Advantages of CV -- K.6 Disadvantages of CV -- References -- L Indexing Methods…”

Tabla de Contenidos: “…Longitud de pandeo6.4. Hipérbola de Euler6.5. Influencia de las tensiones residuales de laminación6.6. …”

“…Nachdem die Preisaufgabe der Berliner Akademie für 1747 eine Darstellung und Bewertung der Monadenlehre verlangte, zeichnete sich durch eine Veröffentlichung des einflussreichen Akademiemitglieds Leonhard Euler ab, dass monaden- und leibnizkritische Einsendungen bevorzugt würden. …”

“…The new approach in Part III is devoted to the geometry of excursion sets of random fields and the related Euler characteristic approach to extremal probabilities. …”

“…Un relato en forma de diario, en el que se intercalan correos electrónicos y los retratos de algunos de los grandes nombres de la matemática y la ciencia –Boltzmann, Newton, Euler, Gauss, Fourier, Kolmogórov, Nash...–, donde el lenguaje matemático más sofisticado convive con canciones, mangas y duermevelas... …”

“…Un relato en forma de diario, en el que se intercalan correos electrónicos y los retratos de algunos de los grandes nombres de la matemática y la ciencia -Boltzmann, Newton, Euler, Gauss, Fourier, Kolmogórov, Nash ...-, donde el lenguaje matemático más sofisticado convive con canciones, mangas y duermevelas ... …”
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“…To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Py..…”

“…What You Will Learn Learn how to use Ruby code effectively, picking the right tool for the job and not duplicating built-in functionality Gain best software development practices, and how to identify and fix common errors Absorb core programming skills, such as variables, strings, loops, conditionals, and much more Explore object-oriented programming and learn to create modular, reusable code that you can use across projects Build 10 practical Ruby programs as you work through the book on topics such as big data analysis and solving Euler equations In Detail Ruby is a powerful, general-purpose programming language that can be applied to any task. …”

Tabla de Contenidos: “…16.2.3 The HSV Color Model / 398 -- 16.2.4 The YIQ (NTSC) Color Model / 401 -- 16.2.5 The YCbCr Color Model / 401 -- 16.3 Representation of Color Images in MATLAB / 401 -- 16.3.1 RGB Images / 402 -- 16.3.2 Indexed Images / 403 -- 16.4 Pseudocolor Image Processing / 406 -- 16.4.1 Intensity Slicing / 406 -- 16.4.2 Gray Level to Color Transformations / 407 -- 16.4.3 Pseudocoloring in the Frequency Domain / 408 -- 16.5 Full-color Image Processing / 409 -- 16.5.1 Color Transformations / 410 -- 16.5.2 Histogram Processing / 412 -- 16.5.3 Color Image Smoothing and Sharpening / 412 -- 16.5.4 Color Noise Reduction / 414 -- 16.5.5 Color-Based Image Segmentation / 414 -- 16.5.6 Color Edge Detection / 417 -- 16.6 Tutorial 16.1: Pseudocolor Image Processing / 419 -- 16.7 Tutorial 16.2: Full-color Image Processing / 420 -- 16.8 Problems / 425 -- 17 IMAGE COMPRESSION AND CODING 427 -- 17.1 Introduction / 427 -- 17.2 Basic Concepts / 428 -- 17.2.1 Redundancy / 428 -- 17.2.2 Image Encoding and Decoding Model / 431 -- 17.3 Lossless and Lossy Compression Techniques / 432 -- 17.3.1 Lossless Compression Techniques / 432 -- 17.3.2 Lossy Compression Techniques / 433 -- 17.4 Image Compression Standards / 435 -- 17.4.1 Binary Image Compression Standards / 435 -- 17.4.2 Continuous Tone Still Image Compression Standards / 435 -- 17.4.3 JPEG / 436 -- 17.4.4 JPEG 2000 / 437 -- 17.4.5 JPEG-LS / 437 -- 17.5 Image Quality Measures / 438 -- 17.5.1 Subjective Quality Measurement / 438 -- 17.5.2 Objective Quality Measurement / 439 -- 17.6 Tutorial 17.1: Image Compression / 440 -- 18 FEATURE EXTRACTION AND REPRESENTATION 447 -- 18.1 Introduction / 447 -- 18.2 Feature Vectors and Vector Spaces / 448 -- 18.2.1 Invariance and Robustness / 449 -- 18.3 Binary Object Features / 450 -- 18.3.1 Area / 450 -- 18.3.2 Centroid / 450 -- 18.3.3 Axis of Least Second Moment / 451 -- 18.3.4 Projections / 451 -- 18.3.5 Euler Number / 452 -- 18.3.6 Perimeter / 453 -- 18.3.7 Thinness Ratio / 453 -- 18.3.8 Eccentricity / 454.…”

“…What You Will Learn Learn about stack, queues, and dictionaries and their applications Learn how to create a growing object pool Explore the working of Euler Angles in C# Learn to combine multiple quaternion rotations in C# Learn about static variables, functions, and classes in C# Learn to work with attributes in Unity Audience This intermediate course caters to aspiring game developers with some foundational knowledge of Unity and C# scripting. …”