Tabla de Contenidos: “….); Página Legal; Índice Abreviado; Prólogo; Índice general; Índice de figuras; Índice de códigos para MATLAB; Capítulo 1 Introducción a las Wavelets y prerrequisitos de álgebra lineal; Capítulo 2 Wavelets de Haar; 2.1 Scaling y wavelets; 2.2 Análisis de multirresolución (MRA); 2.3 Transformada de Haar; Capítulo 3 Familias de wavelets ortogonales; 3.1 Wavelets de Daubechies; 3.1.1 Daubechies db2; Conceptos básicos; Característica de las fluctuaciones pequeñas; 3.1.2 Daubechies db3; Conceptos básicos…”

Tabla de Contenidos: “…FONDOS PÚBLICOS; BLOQUE II: AUTOEVALUACIÓN; BLOQUE III: ÁLGEBRA; TEMA 1. EL LENGUAJE ALGEBRAICO; 1. LENGUAJE ALGEBRAICO. …”

Tabla de Contenidos: “…Cruce entre gramática y matemática:los conceptos de «conjugar» y «conjugación»en el Libro de Álgebra en Arithmética y Geometría (1567)de Pedro Núñez Salaciense…”

Tabla de Contenidos: “…; From Math Mutation podcast 68; The Shape of the Universe; From Math Mutation podcast 86; Your Size in Space and Time; From Math Mutation podcast 148; Observing the Universe; From Math Mutation podcast 61; Alien Algebra; From Math Mutation podcast 129; Time Reversed Worlds; From Math Mutation podcast 195; A Pear-Shaped Planet; From Math Mutation podcast 120; Where Am I?…”

Tabla de Contenidos: “…3.10 A Lower Bound on Online Chain Partition3.11 Problems; 3.12 Bibliographic Remarks; Chapter 4: Merging Algorithms; 4.1 Introduction; 4.2 Algorithm to Merge Chains in Vector Clock Representation; 4.3 An Upper Bound for Detecting an Antichain of Size; 4.4 A Lower Bound for Detecting an Antichain of Size; 4.5 An Incremental Algorithm for Optimal Chain Decomposition; 4.6 Problems; 4.7 Bibliographic Remarks; Chapter 5: Lattices; 5.1 Introduction; 5.2 Sublattices; 5.3 Lattices as Algebraic Structures; 5.4 Bounding The Size of The Cover Relation of a Lattice…”

Tabla de Contenidos: “…Shukla Mathematical Fuzzy Logic in the Emerging Fields of Engineering, Finance, and Computer Sciences Reprinted from: Axioms 2022, 11, 615, doi:10.3390/axioms11110615 . 1 -- Songsong Dai, Lei Du, Haifeng Song and Yingying Xu On the Composition of Overlap and Grouping Functions Reprinted from: Axioms 2021, 10, 272, doi:10.3390/axioms10040272 . 5 -- Eunsuk Yang Basic Core Fuzzy Logics and Algebraic Routley-Meyer-Style Semantics Reprinted from: Axioms 2021, 10, 273, doi:10.3390/axioms10040273 . 15 -- Yadan Jiang and Dong Qiu The Relationships among Three Kinds of Divisions of Type-1 Fuzzy Numbers Reprinted from: Axioms 2022, 11, 77, doi:10.3390/axioms11020077 31 -- Nguyen Van Thanh and Nguyen Thi Kim Lan A New Hybrid Triple Bottom Line Metrics and Fuzzy MCDM Model: Sustainable Supplier Selection in the Food-Processing Industry Reprinted from: Axioms 2022, 11, 57, doi:10.3390/axioms11020057 41 -- Chia-Nan Wang, Nhat-Luong Nhieu, Kim-Phong Tran and Yen-Hui Wang Sustainable Integrated Fuzzy Optimization for Multimodal Petroleum Supply Chain Design with Pipeline System: The Case Study of Vietnam Reprinted from: Axioms 2022, 11, 60, doi:10.3390/axioms11020060 55 -- Juan Carlos Martin, Natalia Soledad Bustamante-S ́anchez and Alessandro Indelicato Analyzing the Main Determinants for Being an Immigrant in Cuenca (Ecuador) Based on a Fuzzy Clustering Approach Reprinted from: Axioms 2022, 11, 74, doi:10.3390/axioms11020074 81 -- Duˇsan J. …”

Tabla de Contenidos: “…; 7.7 Components of the PURPLE Machine; 7.8 The PURPLE Keys; 7.9 Cribbing PURPLE: Finding the V-Stepper; 7.10 Cribbing PURPLE: Finding the C-Steppers; CHAPTER 8 STREAM CIPHERS; 8.1 Stream Ciphers; 8.2 Feedback Shift Registers; 8.3 The Algebra of Polynomials over Z(2); 8.4 The Characteristic Polynomial of a Linear Feedback Shift Register; 8.5 Properties of Maximal Length LFSR Sequences; 8.6 Linear Equivalence…”

Tabla de Contenidos: “…SPECTRAL TRANSFORMS FOR LOGIC FUNCTIONS; 2.1 Algebraic Structures for Spectral Transforms; 2.2 Fourier Series; 2.3 Bases for Systems of Boolean Functions; 2.3.1 Basis Functions; 2.3.2 Walsh Functions; 2.3.2.1 Ordering of Walsh Functions; 2.3.2.2 Properties of Walsh Functions; 2.3.2.3 Hardware Implementations of Walsh Functions; 2.3.3 Haar Functions; 2.3.3.1 Ordering of Haar Functions; 2.3.3.2 Properties of Haar Functions; 2.3.3.3 Hardware Implementation of Haar Functions; 2.3.3.4 Hardware Implementation of the Inverse Haar Transform…”

Tabla de Contenidos: “…Simple arithmetic and algebra; 1.6. Vectors and matrices; 1.7. Multiplication of vectors of matrices; 1.8. …”

Tabla de Contenidos: “…Linear Programming: Data Envelopment Analysis5.1 A Graphical Perspective on DEA; 5.2 An Algebraic Perspective on DEA; 5.3 A Spreadsheet Model for DEA; 5.4 Indexing; 5.5 Finding Reference Sets and HCUs; 5.6 Assumptions and Limitations of DEA; Summary; Exercises; Case: Branch Performance at Nashville National Bank; Branch Growth at Nashville National Bank; Assessing Branch Productivity; Branch Managers Revolt; Measuring Branches: Available Techniques; The DEA Study; 6. …”

Tabla de Contenidos: “…Front Cover; Multidimensional Signal, Image, and Video Processing and Coding; Copyright; Table of Contents; Preface; Acknowledgments; 1 Two-Dimensional Signals and Systems; 1.1 Two-Dimensional Signals; Separable Signals; Periodic Signals; General Periodicity; 2-D Discrete-Space Systems; 2-D Convolution; Properties of 2-D Convolution or Convolution Algebra; Stability in 2-D Systems; 1.2 2-D Discrete-Space Fourier Transform; Inverse 2-D Fourier Transform; Fourier Transform of 2-D or Spatial Convolution; Some Important Properties of the FT Operator; Some Useful Fourier Transform Pairs…”

Tabla de Contenidos: “…4.10.2 Linear Convection-Diffusion Equation: FTCS Scheme -- 4.10.3 First-Order Upwind Scheme for Convection-Diffusion Equation -- 4.10.4 Burgers Equation -- 4.11 Summary -- 4.12 Key Terms -- 4.13 Exercise 4 -- Chapter 5: Equations of Elliptic Type -- 5.1 Introduction -- 5.2 The Laplace Equation in Two Dimension -- 5.3 Iterative Methods for Solution of Linear Algebraic Systems -- 5.3.1 The Jacobi and the Gauss-Seidel Schemes -- 5.4 Solution of the Pentadiagonal System -- 5.4.1 Program 5.1: sor.f -- 5.5 Approximate Factorisation Schemes -- 5.5.1 Analysis of Line Gauss-Seidel Scheme for the Laplace Equation -- 5.5.2 Time-Dependent Analogy -- 5.5.3 Program 5.2: afl.f -- 5.6 Grid Generation Example -- 5.7 Body-fitted Grid Generation Using Elliptic-type Equations -- 5.7.1 Solution of the Algebraic Equations by AFI Scheme -- 5.8 Some Observations of AF Schemes -- 5.9 Multi-grid Method -- 5.9.1 Program 5.3: mgc.f -- 5.10 Summary -- 5.11 Key Terms -- 5.12 Exercise 5 -- Chapter 6: Equations of Mixed Elliptic-Hyperbolic Type -- 6.1 Introduction -- 6.2 Tricomi Equation -- 6.3 Transonic Computations Based on TSP Model -- 6.3.1 Finite Difference Discretisation -- 6.3.2 Implementation of Boundary Conditions -- 6.3.3 Iterative Solution of the Discretised Equations -- 6.3.4 Artificial Viscosity and Conservative Schemes -- 6.3.5 Computational Results -- 6.3.6 Program 6.1 tsc.f -- 6.4 Summary -- 6.5 Key Terms -- 6.6 Exercise 6 -- Part II: Computational Fluid Dynamics -- Chapter 7: The Basic Equations of Fluid Dynamics -- 7.1 Introduction -- 7.2 Basic Conservation Principles -- 7.3 Unsteady Navier-Stokes Equations in Integral Form -- 7.4 Navier-Stokes Equations in Differential Form -- 7.4.1 Compressible Two-Dimensional Equations in Vector Form -- 7.4.2 Incompressible Navier-Stokes Equations in Cartesian Coordinates -- 7.4.3 Dimensionless Form of the Basic Equations…”

Tabla de Contenidos: “…Cover -- About the Author -- Contents -- Preface -- Chapter 1: Matrices and Linear Systems of Equations -- 1.1 Introduction -- 1.1.1 Matrix: Definition -- 1.1.2 Types of Matrices -- 1.2 Algebra of Matrices -- 1.3 Matrix Multiplication -- 1.3.1 Properties -- 1.4 Determinant of a Square Matrix -- 1.4.1 Expansion of a Determinant of Third Order -- 1.4.2 Expansion of the Determinant of a Matrix of any Order n -- 1.4.3 Properties of Determinant of a Matrix A -- 1.5 Related Matrices -- 1.5.1 The Transpose of a Matrix: Properties -- 1.5.2 Adjoint of a Square Matrix -- 1.5.3 Invertible Matrix -- 1.5.4 Submatrix of a Matrix -- 1.6 Determinant-related Matrices -- 1.6.1 Singular Matrix -- 1.6.2 Nonsingular Matrix -- 1.6.3 Properties of Invertible Matrices (Non Singular Matrices) -- 1.7 Special Matrices -- 1.7.1 Idempotent Matrix -- 1.7.2 Nilpotent Matrix -- 1.7.3 Involutory Matrix -- 1.7.4 Periodic Matrix -- Exercise 1.1 -- 1.8 Linear Systems of Equations -- 1.8.1 Introduction -- 1.9 Homogeneous (H) and Nonhomogeneous (NH) Systems of Equations -- 1.9.1 Matrix Form of the Linear System -- 1.10 Elementary Row and Column Operations (Transformations) for Matrices -- 1.10.1 Equivalence of Matrices -- 1.10.2 Vectors: Linear Dependence and Independence -- 1.10.3 Rank of a Matrix: Definition 1 -- 1.10.4 Methods for Determining Linear Dependence (L.D.) and Linear Independence (L.I.) of Vectors -- Exercise 1.2 -- 1.11 Inversion of a Nonsingular Matrix -- 1.11.1 Method 1: Adjoint Method (or Determinants Method) -- 1.11.2 Elementary Matrices -- 1.11.3 Method 2: Gauss-Jordan6-7 Method of Finding the Inverse of a Matrix -- Exercise 1.3 -- 1.12 Rank of a Matrix -- 1.12.1 Rank of a Matrix: Definition 2 -- 1.13 Methods for Finding the Rank of a Matrix -- 1.13.1 Method 1: Maximum Number of Linearly Independent Rows -- 1.13.2 Method 2: Method of Minors (Enumeration Method)…”

Tabla de Contenidos: “…Digital Circuits -- Chapter 2: Boolean Algebra and Theorems, Minterms and Maxterms -- 2.1 The NOT, AND, OR Logic Operations -- 2.1.1 The NOT Logic Operation -- 2.1.2 The AND Logic Operation -- 2.1.3 The OR Logic Operation -- 2.2 The NAND and NOR Logic Operations -- 2.2.1 NAND Gate -- 2.2.2 NOR Gate -- 2.3 The XOR, NOT-XOR, NOT-NOT Logic Operations -- 2.3.1 XOR Logic Operation -- 2.3.2 NOT-XOR (XNOR) Logic Operation -- 2.3.3 NOT-NOT Logic Operation -- 2.4 Boolean Algebraic Rules (for Outputs from the Inputs) -- 2.4.1 OR Rules -- 2.4.2 AND Rules -- 2.4.3 NOT Rules (Rules of Complementation) -- 2.5 Boolean Algebraic Laws -- 2.5.1 Commutative Laws -- 2.5.2 Associative Laws -- 2.5.3 Distributive Laws -- 2.6 Demorgan Theorems -- 2.7 The Sum of the Products (SOPs) as per Boolean Expression and Minterms -- 2.7.1 SOPs for Two Variables (Two Inputs) Case -- 2.7.2 SOPs for Three Variables (Three Inputs) Case -- 2.7.3 SOPs for Four Variables (Four Inputs) Case -- 2.7.4 Conversion of a Boolean Expression or Truth Table Outputs into the Standard SOP Format -- 2.8 Product of the Sums and Maxterms for a Boolean Expression -- 2.8.1 POS for Two Variables (Two Inputs) Case -- 2.8.2 POS for Three Variables (Three Inputs) Case -- 2.8.3 POS for Four Variables (Four Inputs) Case -- 2.8.4 Conversion of a Boolean Expression into Standard POS Format -- Chapter 3: Karnaugh Map and Minimization Procedures -- 3.1 The Three-Variable Karnaugh Map and Tables -- 3.1.1 Karnaugh Map from the Truth Table -- 3.1.2 Karnaugh Map from the Minterms in a SOP -- 3.1.3 Karnaugh Map from the Maxterms in a POS -- 3.2 Four Variable Karnaugh Map and Tables…”

Tabla de Contenidos: “…; 5.7 Bayesian Theory; 5.8 Planck System; 5.9 Bits, Nats, and Bans; 5.10 A Communication System; 5.11 Holography; Chapter 6 Mathematics for Audio Systems; 6.1 Engineering Calculations; 6.2 Precision, Accuracy, and Resolution; 6.3 Simple Numbers; 6.4 How to Add Gains and Losses Algebraically; 6.5 The Factor-Label System; 6.6 Basic Physical Terms; 6.7 Mathematical Operations; 6.8 Complex Number Operations; 6.9 Decade Calibration; 6.10 Converting Linear Scales to Logarithmic Scales…”

Tabla de Contenidos: “….) -- BIBLIOGRAFÍA -- ESTUDIO INDEPENDIENTE -- ANEXO IV.1 -- TEMA V: EJEMPLOS DE EDO APLICADAS A LA QUÍMICA -- V.1 DESINTEGRACIÓN RADIOACTIVA -- V.2 DISOLUCIONES -- V.3 REACCIONES QUÍMICAS -- V.4 VIBRACIONES DE MOLÉCULAS DIATÓMICA -- BIBLIOGRAFÍA -- SEGUNDA PARTE: FUNCIONES ESPECIALES Y ECUACIONES EN DERIVADAS PARCIALES -- TEMA VI: FUNCIONES ESPECIALES -- VI.1 ECUACIÓN GENERAL DE LAS FUNCIONES ESPECIALES -- VI.2 FÓRMULA DE RODRIGUES -- VI.3 ORTOGONALIDAD Y NORMA -- VI.4 EXPRESIÓN DE POLINOMIOS EN SERIE DE POTENCIAS FINITA -- VI.5 CÓDIGOS EN VBA (EXCEL) Y OPCIONES EN MATHEMATICA -- BIBLIOGRAFÍA -- TEMA VII: ELEMENTOS SOBRE ECUACIONES EN DERIVADAS PARCIALES -- VII.1 DEFINICIONES PRELIMINARES -- VII.2 MÉTODO DE SEPARACIÓN DE VARIABLES (MSV -- VII.3 ECUACIÓN DE SCHRÖDINGER -- BIBLIOGRAFÍA -- TEMA VIII: EJEMPLOS DE EDP APLICADAS A LA QUÍMICA -- VIII.1 OSCILADOR ARMÓNICO CUÁNTICO -- VIII.2 EL ÁTOMO DE HIDRÓGENO -- VIII.3 POZO SEMI-INFINITO -- BIBLIOGRAFÍA -- ANEXOS -- ANEXO A: CONCEPTOS FUNDAMENTALES DEL ÁLGEBRA LINEAL -- ANEXO B: DESARROLLO DEL POTENCIAL EN MULTIPOLOS…”

Tabla de Contenidos: “…2.2.1 Consensus in Networks -- 2.2.2 The f-Consensus Problem -- 2.2.3 Iterative Consensus and Markov Chains -- 2.3 Applications -- 2.3.1 Synchronization of Coupled Oscillators -- 2.3.2 Flocking Theory -- 2.3.3 Fast Consensus in Small-Worlds -- 2.3.4 Rendezvous in Space -- 2.3.5 Distributed Sensor Fusion in Sensor Networks -- 2.3.6 Distributed Formation Control -- 2.4 Information Consensus -- 2.4.1 Algebraic Connectivity and Spectral Properties -- 2.4.2 Convergence Analysis for Directed Networks -- 2.4.3 Consensus in Discrete-Time -- 2.4.4 Performance of Consensus Algorithms…”

Tabla de Contenidos: “…The activation layer -- The pooling layer -- The fully connected layer -- Batch Normalization -- Dropout -- CNN in practice -- Fashion-MNIST classifier training code -- Analysis of CNNs -- Popular CNN architectures -- VGGNet -- Inception models -- ResNet model -- Transfer learning -- Summary -- Chapter 6: Feature-Based Object Detection -- Introduction to object detection -- Challenges in object detection -- Dataset and libraries used -- Methods for object detection -- Deep learning-based object detection -- Two-stage detectors -- Demo - Faster R-CNN with ResNet-101 -- One-stage detectors -- Demo -- Summary -- References -- Chapter 7: Segmentation and Tracking -- Datasets and libraries -- Segmentation -- Challenges in segmentation -- CNNs for segmentation -- Implementation of FCN -- Tracking -- Challenges in tracking -- Methods for object tracking -- MOSSE tracker -- Deep SORT -- Summary -- References -- Chapter 8: 3D Computer Vision -- Dataset and libraries -- Applications -- Image formation -- Aligning images -- Visual odometry -- Visual SLAM -- Summary -- References -- Chapter 9: Mathematics for Computer Vision -- Datasets and libraries -- Linear algebra -- Vectors -- Addition -- Subtraction -- Vector multiplication -- Vector norm -- Orthogonality -- Matrices -- Operations on matrices -- Addition -- Subtraction -- Matrix multiplication -- Matrix properties -- Transpose -- Identity matrix -- Diagonal matrix -- Symmetric matrix -- Trace of a matrix -- Determinant -- Norm of a matrix -- Getting the inverse of a matrix -- Orthogonality -- Computing eigen values and eigen vectors -- Hessian matrix -- Singular Value Decomposition -- Introduction to probability theory -- What are random variables? …”

Tabla de Contenidos: “…Half Title; Title Page; Copyright; Contents; Preface; 1 Reverse-Engineering Software Behavior; 1 Introduction; 2 Background; 2.1 Modeling Software Behavior; 2.1.1 Modeling Data; 2.1.2 Modeling Sequential Behavior; 2.1.2.1 State Machines; 2.1.2.2 Message Sequence Charts and Sequence Diagrams; 2.1.3 Combining Data and Control; 2.1.3.1 EFSMs; 2.1.3.2 Algebraic Models; 2.2 The Reverse-Engineering Process; 2.2.1 Summary; 3 Static Analysis; 3.1 Why do we Need Behavioral Models if we have Source Code?…”

Tabla de Contenidos: “…Simple arithmetic and algebra; 1.6. Vectors and matrices; 1.7. Multiplication of vectors of matrices; 1.8. …”