“…This first volume consists of 30 chapters and introduces the fundamentals of the subject through a discussion on system of units and fundamentals of electrons and gradually moves to advanced topics such as Complex Algebra, Fourier Series, Circuits and Networks, which helps engineering students understand the subject better and build a concrete foundation of their concepts…”

Tabla de Contenidos: “…4.1 Introduction: The Tukey's School of Statistics -- 4.2 Essential Summaries of EDA -- 4.3 Graphical Techniques in EDA -- 4.3.1 Boxplot -- 4.3.2 Histogram -- 4.3.3 Histogram Extensions and the Rootogram -- 4.3.4 Pareto Chart -- 4.3.5 Stem-and-Leaf Plot -- 4.3.6 Run Chart -- 4.3.7 Scatter Plot -- 4.4 Quantitative Techniques in EDA -- 4.4.1 Trimean -- 4.4.2 Letter Values -- 4.5 Exploratory Regression Models -- 4.5.1 Resistant Line -- 4.5.2 Median Polish -- 4.6 Further Reading -- 4.7 Complements, Problems, and Programs -- Part II Probability and Inference -- Chapter 5 Probability Theory -- 5.1 Introduction -- 5.2 Sample Space, Set Algebra, and Elementary Probability -- 5.3 Counting Methods -- 5.3.1 Sampling: The Diverse Ways -- 5.3.2 The Binomial Coefficients and the Pascals Triangle -- 5.3.3 Some Problems Based on Combinatorics -- 5.4 Probability: A Definition -- 5.4.1 The Prerequisites -- 5.4.2 The Kolmogorov Definition -- 5.5 Conditional Probability and Independence -- 5.6 Bayes Formula -- 5.7 Random Variables, Expectations, and Moments -- 5.7.1 The Definition -- 5.7.2 Expectation of Random Variables -- 5.8 Distribution Function, Characteristic Function, and Moment Generation Function -- 5.9 Inequalities -- 5.9.1 The Markov Inequality -- 5.9.2 The Jensen's Inequality -- 5.9.3 The Chebyshev Inequality -- 5.10 Convergence of Random Variables -- 5.10.1 Convergence in Distributions -- 5.10.2 Convergence in Probability -- 5.10.3 Convergence in rth Mean -- 5.10.4 Almost Sure Convergence -- 5.11 The Law of Large Numbers -- 5.11.1 The Weak Law of Large Numbers -- 5.12 The Central Limit Theorem -- 5.12.1 The de Moivre-Laplace Central Limit Theorem -- 5.12.2 CLT for iid Case -- 5.12.3 The Lindeberg-Feller CLT -- 5.12.4 The Liapounov CLT -- 5.13 Further Reading -- 5.13.1 Intuitive, Elementary, and First Course Source…”

Tabla de Contenidos: “…Front Cover -- Estimation and Control of Large-Scale Networked Systems -- Copyright -- Contents -- Preface -- Acknowledgments -- Notation and Symbols -- 1 Introduction -- 1.1 A General View on Control System Design -- 1.2 Communication and Control -- 1.3 Book Contents -- 1.3.1 Controllability and Observability of a Control System -- 1.3.2 Centralized and Distributed State Estimations -- 1.3.3 State Estimations and Control With Imperfect Communications -- 1.3.4 Veri cation of Stability and Robust Stability -- 1.3.5 Distributed Controller Design for an LSS -- 1.3.6 Structure Identi cation for an LSS -- 1.3.7 Attack Estimation/Identi cation and Other Issues -- 1.4 Bibliographic Notes -- References -- 2 Background Mathematical Results -- 2.1 Linear Space and Linear Algebra -- 2.1.1 Vector and Matrix Norms -- 2.1.2 Hamiltonian Matrices and Distance Among Positive De nite Matrices -- 2.2 Generalized Inverse of a Matrix -- 2.3 Some Useful Transformations -- 2.4 Set Function and Submodularity -- 2.5 Probability and Random Process -- 2.6 Markov Process and Semi-Markov Process -- 2.7 Bibliographic Notes -- References -- 3 Controllability and Observability of an LSS -- 3.1 Introduction -- 3.2 Controllability and Observability of an LTI System -- 3.2.1 Minimal Number of Inputs/Outputs Guaranteeing Controllability/Observability -- 3.2.2 A Parameterization of Desirable Input/Output Matrices -- 3.2.3 Some Nitpicking -- 3.3 A General Model for an LSS -- 3.4 Controllability and Observability for an LSS -- 3.4.1 Subsystem Transmission Zeros and Observability of an LSS -- 3.4.2 Observability Veri cation -- 3.4.3 A Condition for Controllability and Its Veri cation -- 3.4.4 In/Out-degree and Controllability/Observability of a Networked System -- 3.5 Construction of Controllable/Observable Networked Systems -- 3.6 Bibliographic Notes -- Appendix 3.A…”

Tabla de Contenidos: “…Intro -- Examples and Problems in Mathematical Statistics -- Contents -- Preface -- List of Random Variables -- List of Abbreviations -- 1 Basic Probability Theory -- PART I: THEORY -- 1.1 OPERATIONS ON SETS -- 1.2 ALGEBRA AND σ-FIELDS -- 1.3 PROBABILITY SPACES -- 1.4 CONDITIONAL PROBABILITIES AND INDEPENDENCE -- 1.5 RANDOM VARIABLES AND THEIR DISTRIBUTIONS -- 1.6 THE LEBESGUE AND STIELTJES INTEGRALS -- 1.6.1 General Definition of Expected Value: The Lebesgue Integral -- 1.6.2 The Stieltjes-Riemann Integral -- 1.6.3 Mixtures of Discrete and Absolutely Continuous Distributions -- 1.6.4 Quantiles of Distributions -- 1.6.5 Transformations -- 1.7 JOINT DISTRIBUTIONS, CONDITIONAL DISTRIBUTIONS AND INDEPENDENCE -- 1.7.1 Joint Distributions -- 1.7.2 Conditional Expectations: General Definition -- 1.7.3 Independence -- 1.8 MOMENTS AND RELATED FUNCTIONALS -- 1.9 MODES OF CONVERGENCE -- 1.10 WEAK CONVERGENCE -- 1.11 LAWS OF LARGE NUMBERS -- 1.11.1 The Weak Law of Large Numbers (WLLN) -- 1.11.2 The Strong Law of Large Numbers (SLLN) -- 1.12 CENTRAL LIMIT THEOREM -- 1.13 MISCELLANEOUS RESULTS -- 1.13.1 Law of the Iterated Logarithm -- 1.13.2 Uniform Integrability -- 1.13.3 Inequalities -- 1.13.4 The Delta Method -- 1.13.5 The Symbols op and Op -- 1.13.6 The Empirical Distribution and Sample Quantiles -- PART II: EXAMPLES -- PART III: PROBLEMS -- PART IV: SOLUTIONS TO SELECTED PROBLEMS -- 2 Statistical Distributions -- PART I: THEORY -- 2.1 INTRODUCTORY REMARKS -- 2.2 FAMILIES OF DISCRETE DISTRIBUTIONS -- 2.2.1 Binomial Distributions -- 2.2.2 Hypergeometric Distributions -- 2.2.3 Poisson Distributions -- 2.2.4 Geometric, Pascal, and Negative Binomial Distributions -- 2.3 SOME FAMILIES OF CONTINUOUS DISTRIBUTIONS -- 2.3.1 Rectangular Distributions -- 2.3.2 Beta Distributions -- 2.3.3 Gamma Distributions -- 2.3.4 Weibull and Extreme Value Distributions…”

Tabla de Contenidos: “…7.8.3 Post-Stall Behaviour -- 7.8.4 Tumbling and Autorotation -- 7.8.5 Lateral Dynamic Phenomenon -- 7.8.6 Flat Spin and Deep Spin -- 7.8.7 Wing Drop, Wing Rock and Nose Slice -- 7.8.8 Fully Coupled Motions: The Falling Leaf -- 7.8.9 Regenerative Phenomenon -- Chapter Highlights -- Exercises -- References -- Chapter 8 Aircraft Flight Control -- 8.1 Automatic Flight Control Systems: An Introduction -- 8.2 Functions of a Flight Control System -- 8.3 Integrated Flight Control System -- 8.3.1 Guidance System: Interfacing to the Automatic Flight Control System -- 8.3.2 Flight Management System -- 8.4 Flight Control System Design -- 8.4.1 Block Diagram Algebra -- 8.4.2 Return Difference Equation -- 8.4.3 Laplace Transform -- 8.4.4 Stability of Uncontrolled and Controlled Systems -- 8.4.5 Routh's Tabular Method -- 8.4.6 Frequency Response -- 8.4.7 Bode Plots -- 8.4.8 Nyquist Plots -- 8.4.9 Stability in the Frequency Domain -- 8.4.10 Stability Margins: Gain and Phase Margins -- 8.4.11 Mapping Complex Functions and Nyquist Diagrams -- 8.4.12 Time Domain: State Variable Representation -- 8.4.13 Solution of the State Equations and the Controllability Condition -- 8.4.14 State-Space and Transfer Function Equivalence -- 8.4.15 Transformations of State Variables -- 8.4.16 Design of a Full-State Variable Feedback Control Law -- 8.4.17 Root Locus Method -- 8.4.18 Root Locus Principle -- 8.4.19 Root Locus Sketching Procedure -- 8.4.20 Producing a Root Locus Using MATLAB® -- 8.4.21 Application of the Root Locus Method: Unity Feedback with a PID Control Law -- 8.5 Optimal Control of Flight Dynamics -- 8.5.1 Compensating Full-State Feedback: Observers and Compensators -- 8.5.2 Observers for Controller Implementation -- 8.5.3 Observer Equations -- 8.5.4 Special Cases: Full- and First-Order Observers -- 8.5.5 Solving the Observer Equations -- 8.5.6 Luenberger Observer…”

Tabla de Contenidos: “…Chapter 13 Digital Control Systems -- 13.1 Introduction -- 13.2 Digital Computer Control System Applications -- 13.3 Sampled-Data Systems -- 13.4 The z-Transform -- 13.5 Closed-Loop Feedback Sampled-Data Systems -- 13.6 Performance of a Sampled-Data, Second-Order System -- 13.7 Closed-Loop Systems with Digital Computer Compensation -- 13.8 The Root Locus of Digital Control Systems -- 13.9 Implementation of Digital Controllers -- 13.10 Design Examples -- 13.11 Digital Control Systems Using Control Design Software -- 13.12 Sequential Design Example: Disk Drive Read System -- 13.13 Summary -- Skills Check -- Exercises -- Problems -- Advanced Problems -- Design Problems -- Computer Problems -- Terms and Concepts -- References -- Index -- Appendix A MATLAB Basics -- Appendix B MathScript RT Module Basics -- Appendix C Symbols, Units, and Conversion Factors -- Appendix D Laplace Transform Pairs -- Appendix E An Introduction to Matrix Algebra -- Appendix F Decibel Conversion -- Appendix G Complex Numbers -- Appendix H z-Transform Pairs Preface -- Appendix I Discrete-Time Evaluation of the Time Response…”

Tabla de Contenidos: “…12.1. SQL: Relational Algebra -- Union, Intersection, and Difference -- Cartesian Product (Unrestricted Join) -- Relational Selection -- Relational Projection -- Relational Joins -- Relational Division -- Renaming -- Query Strategies -- Exercise 12.1 -- 12.2. …”

“…For courses in algebra-based introductory physics. Make physics relevant for today's mixed-majors students College Physics: A Strategic Approach, 4th Edition expands its focus from how mixed majors students learn physics to focusing on why these students learn physics. …”

Tabla de Contenidos: “…-- Some technicalities about GANs -- Quantum GANs -- Quantum GANs in PennyLane -- Preparing a QGAN model -- The training process -- Quantum GANs in Qiskit -- Summary -- Afterword and Appendices -- Chapter 13: Afterword: The Future of Quantum Computing -- Appendix A: Complex Numbers -- Appendix B: Basic Linear Algebra -- Vector spaces -- Bases and coordinates -- Linear maps and eigenstuff -- Inner products and adjoint operators -- Matrix exponentiation -- A crash course in modular arithmetic -- Appendix C: Computational Complexity -- A few words on Turing machines -- Measuring computational time -- Asymptotic complexity -- P and NP -- Hardness, completeness, and reductions -- A very brief introduction to quantum computational complexity -- Appendix D: Installing the Tools -- Getting Python -- Installing the libraries -- Accessing IBM's quantum computers…”

Tabla de Contenidos: “…6.3 Discontinuity-Induced Bifurcations -- 6.3.1 The Boundary Equilibrium Bifurcation -- 6.3.2 The Grazing Bifurcation -- 6.4 Freeplay and Friction -- 6.5 Concluding Remarks -- References -- Chapter 7 Numerical Continuation -- 7.1 Introduction -- 7.2 Algebraic Problems -- 7.2.1 Prediction Correction -- 7.2.2 Arclength Continuation -- 7.2.3 Pseudo-Arclength Continuation -- 7.3 Direct Location of Folds -- 7.4 Fixed Point Solutions of Dynamic Systems -- 7.4.1 Branch Points -- 7.4.2 Arclength Step Control -- 7.5 Periodic Solutions of Dynamic Systems -- 7.5.1 Starting the Continuation Scheme -- 7.5.2 Folds and Branch Points -- 7.5.3 Branch Switching -- 7.6 Stability of Periodic Solutions Calculated from Numerical Continuation -- 7.7 Shooting -- 7.7.1 Starting the Continuation Scheme -- 7.7.2 Arclength Continuation -- 7.7.3 Stability Analysis -- 7.7.4 Branch Point Location and Branch Switching -- 7.7.5 Grazing -- 7.8 Harmonic Balance -- 7.9 Concluding Remarks -- References -- Chapter 8 Low-Speed AerodynamicNonlinearities -- 8.1 Introduction -- 8.2 Vortex-Induced Vibrations -- 8.3 Galloping -- 8.4 Stall Flutter -- 8.4.1 Dynamic Stall -- 8.4.2 Leishman-Beddoes Model -- 8.4.3 ONERA Model -- 8.4.4 Aeroelastic Simulations using Dynamic Stall Models -- 8.5 Concluding Remarks -- References -- Chapter 9 High-Speed AeroelasticNonlinearities -- 9.1 Introduction -- 9.2 Piston Theory -- 9.3 Panel Flutter -- 9.3.1 Buckling -- 9.3.2 Limit Cycle Oscillations -- 9.4 Concluding Remarks -- References -- Chapter 10 Finite Wings -- 10.1 Introduction -- 10.2 Cantilever Plate in Supersonic Flow -- 10.3 Three-Dimensional Aerodynamic Modelling by the Vortex Lattice Method -- 10.3.1 Aeroelastic Coupling -- 10.3.2 Transforming to the Time Domain -- 10.3.3 Nonlinear Response -- 10.4 Concluding Remarks -- References -- Appendix A Aeroelastic Models -- A.1 Galloping Oscillator…”

Tabla de Contenidos: “…-- What makes PISA unique -- The PISA 2022 test -- An overview of what is assessed in each domain -- The evolution of reporting student performance in PISA -- The context questionnaires -- A collaborative project -- 2 PISA 2022 Mathematics Framework -- Introduction -- Definition of mathematical literacy -- A view of mathematically literate individuals in PISA 2022 -- An explicit link to a variety of contexts for problems in PISA 2022 -- A visible role for mathematical tools, including technology, in PISA 2022 -- Organisation of the domain -- Mathematical reasoning and problem-solving processes -- Mathematical reasoning -- Understanding quantity, number systems and their algebraic properties -- Appreciating the power of abstraction and symbolic representation -- Seeing mathematical structures and their regularities -- Recognising functional relationships between quantities -- Using mathematical modelling as a lens onto the real world -- Understanding variation as the heart of statistics -- Problem solving -- Formulating situations mathematically -- Employing mathematical concepts, facts and procedures -- Interpreting, applying and evaluating mathematical outcomes -- Mathematical content knowledge -- Change and relationships -- Space and shape -- Quantity -- Uncertainty and data -- Content topics for guiding the assessment of mathematical literacy of 15-year-old students -- Contexts for the assessment items and selected 21st Century skills -- Contexts -- 21st Century skills -- Assessing mathematical literacy -- Structure of the PISA 2022 mathematics assessment -- Desired distribution of score points by mathematical reasoning and problem-solving process -- Desired distribution of score points by content category -- A range of item difficulties -- Computer-based assessment of mathematics…”

Tabla de Contenidos: “…6.2 A Special Case of the Proof of Theorem 2.3 (part (1)) -- 6.3 The Remaining Proof of Theorem 2.3 (part (1)) -- 7 Tensors, Hyperplanes, Near Reflections, Constants ( , , K) -- 7.1 Hyperplane -- We Meet the Positive Constant -- 7.2 "Well Separated" -- We Meet the Positive Constant -- 7.3 Upper Bound for Card (E) -- We Meet the Positive Constant K -- 7.4 Theorem 7.11 -- 7.5 Near Reflections -- 7.6 Tensors,Wedge Product, and Tensor Product -- 8 Algebraic Geometry: Approximation-varieties, Lojasiewicz, Quantification: ( , )-Theorem 2.2 (part (2)) -- 8.1 Min-max Optimization and Approximation-varieties -- 8.2 Min-max Optimization and Convexity -- 9 Building -distortions: Near Reflections -- 9.1 Theorem 9.14 -- 9.2 Proof of Theorem 9.14 -- 10 -distorted diffeomorphisms, O(d) and Functions of Bounded Mean Oscillation (BMO) -- 10.1 BMO -- 10.2 The John-Nirenberg Inequality -- 10.3 Main Results -- 10.4 Proof of Theorem 10.17 -- 10.5 Proof of Theorem 10.18 -- 10.6 Proof of Theorem 10.19 -- 10.7 An Overdetermined System -- 10.8 Proof of Theorem 10.16 -- 11 Results: A Revisit of Theorem 2.2 (part (1)) -- 11.1 Theorem 11.21 -- 11.2 blocks -- 11.3 Finiteness Principle -- 12 Proofs: Gluing and Whitney Machinery -- 12.1 Theorem 11.23 -- 12.2 The Gluing Theorem -- 12.3 Hierarchical Clusterings of Finite Subsets of Rd Revisited -- 12.4 Proofs of Theorem 11.27 and Theorem 11.28 -- 12.5 Proofs of Theorem 11.31, Theorem 11.30 and Theorem 11.29 -- 13 Extensions of Smooth Small Distortions [41]: Introduction -- 13.1 Class of Sets E -- 13.2 Main Result -- 14 Extensions of Smooth Small Distortions: First Results -- Lemma 14.1 -- Lemma 14.2 -- Lemma 14.3 -- Lemma 14.4 -- Lemma 14.5 -- 15 Extensions of Smooth Small Distortions: Cubes, Partitions of Unity, Whitney Machinery -- 15.1 Cubes -- 15.2 Partition of Unity -- 15.3 Regularized Distance…”

“…The book has the following features: Several appendices include related material on integration, important inequalities and identities, frequency-domain transforms, and linear algebra. These topics have been included so that the book is relatively self-contained. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- Preface -- Acknowledgments -- Glossary -- Acronyms -- About the Companion Website -- Part I Introductory Part -- Chapter 1 Introduction -- 1.1 Optimization -- 1.2 Unsupervised Learning -- 1.3 Supervised Learning -- 1.4 System Identification -- 1.5 Control -- 1.6 Reinforcement Learning -- 1.7 Outline -- Chapter 2 Linear Algebra -- 2.1 Vectors and Matrices -- 2.2 Linear Maps and Subspaces -- 2.2.1 Four Fundamental Subspaces -- 2.2.2 Square Matrices -- 2.2.3 Affine Sets -- 2.3 Norms -- 2.4 Algorithm Complexity -- 2.5 Matrices with Structure -- 2.5.1 Diagonal Matrices -- 2.5.2 Orthogonal Matrices -- 2.5.3 Triangular Matrices -- 2.5.4 Symmetric and Skew‐Symmetric Matrices -- 2.5.5 Toeplitz and Hankel Matrices -- 2.5.6 Sparse Matrices -- 2.5.7 Band Matrices -- 2.6 Quadratic Forms and Definiteness -- 2.7 Spectral Decomposition -- 2.8 Singular Value Decomposition -- 2.9 Moore-Penrose Pseudoinverse -- 2.10 Systems of Linear Equations -- 2.10.1 Gaussian Elimination -- 2.10.2 Block Elimination -- 2.11 Factorization Methods -- 2.11.1 LU Factorization -- 2.11.2 Cholesky Factorization -- 2.11.3 Indefinite LDL Factorization -- 2.11.4 QR Factorization -- 2.11.5 Sparse Factorizations -- 2.11.6 Block Factorization -- 2.11.7 Positive Semidefinite Block Factorization -- 2.12 Saddle‐Point Systems -- 2.12.1 H Positive Definite -- 2.12.2 H Positive Semidefinite -- 2.13 Vector and Matrix Calculus -- Exercises -- Chapter 3 Probability Theory -- 3.1 Probability Spaces -- 3.1.1 Probability Measure -- 3.1.2 Probability Function -- 3.1.3 Probability Density Function -- 3.2 Conditional Probability -- 3.3 Independence -- 3.4 Random Variables -- 3.4.1 Vector‐Valued Random Variable -- 3.4.2 Marginal Distribution -- 3.4.3 Independence of Random Variables -- 3.4.4 Function of Random Variable -- 3.5 Conditional Distributions…”

Tabla de Contenidos: “….) -- Ecuación lineal en dos variables -- Conjunto Solución de una ecuación lineal en dos variables -- Gráfica de ecuaciones lineales en dos variables -- Inecuación lineal en dos variables -- Método general para resolver inecuaciones lineales en dos variables -- Bloque de ejercicio No. 11 -- Sistemas de ecuaciones e inecuaciones en dos variables -- Competencias Generales -- Índice de contenidos -- Aplicaciones de los sistemas de ecuaciones lineales -- Sistema de ecuación lineal compatible e incompatible -- Definición -- Métodos más comunes de solución a sistemas de ecuaciones lineales -- Sustitución -- Igualación -- Reducción -- Método gráfico -- Sistemas de ecuaciones de 2o grado -- Bloque de ejercicio No. 12 -- Sistemas de inecuaciones en dos variables -- Competencias Generales -- Índice de contenidos -- Competencias específicas -- Definición -- Bloque de ejercicio No. 13 -- Vectores, matrices y determinantes -- Introducción -- Competencias esperadas por parte del participante -- Vectores y su geometría -- Itemes de Contenidos -- Vectores -- 6.1 Noción de Vector y sus operaciones en R2 -- 6.2 Noción de Vector y sus operaciones en R3 -- 6.3 Igualdad de vectores de R3 -- 6.4 Propiedades que se cumplen entre vectores de R3 -- 6.5 Multiplicación de un vector por un escalar -- 6.6 Propiedades derivadas de esta definición -- 6.7 Propiedades del producto Punto -- 6.8 Producto Vectorial o Producto Cruz -- 6.9 Propiedades del producto vectorial -- 6.10 Aplicaciones del producto vectorial -- Bloque de ejercicios No. 14 -- Matrices y sus generalidades -- Tabla de contenidos -- 1.Matrices y su Álgebra -- 2.Definición de matriz -- 3.Tipos de matrices según su forma -- 4.Tipos de matrices según sus elementos -- 5.Traspuesta de una matriz…”

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: “…CDM and Resource Allocation and Exchange -- CDM Resource Allocation -- Slot Trading Models -- Modeling Equity and Equity Efficiency Tradeoffs -- Resource Allocation Based on User Supplied Priorities -- Large-Scale Deterministic Optimization Models -- Stochastic Models -- Concluding Remarks -- See -- References -- Airline Industry Operations Research -- Introduction -- Flight Scheduling Planning -- Fleet Assignment -- Yield Management -- Crew Scheduling -- Aircraft Maintenance Routing -- Schedule Recovery -- Concluding Remarks -- See -- References -- Algebraic Modeling Languages for Optimization -- Introduction -- Background and Motivation -- Advantages -- Alternatives -- Extensions -- See -- References -- Algorithm -- See -- Algorithmic Complexity -- Alternate Optima -- See -- Alternate Paths -- See -- AMPL -- References -- Analytic Combat Model -- See -- Analytic Hierarchy Process -- Introduction -- The Fundamental Scale -- Absolute and Relative Measurement and Structural Information -- Comments on Cost-Benefit Analysis -- The Eigenvector Solution for Weights and Consistency -- How to Structure a Hierarchy -- Hierarchic Synthesis and Rank -- Examples -- Relative Measurement: Choosing the Best House -- Absolute Measurement: Evaluating Employees for Raises -- Concluding Remarks -- See -- References -- Analytic Network Process -- Introduction -- Feedback Networks -- The Supermatrix of a Feedback System -- The Control Hierarchy -- Drug-Marketing Decision -- See -- References -- Analytics -- Animation -- ANP -- Ant Colony Optimization -- See -- References -- Anticycling Rules -- See -- Antithetic Random Variates -- Applied Probability -- See -- Approximate Dynamic Programming -- Introduction -- Problem Setting -- Value Function and the Optimality Equation -- Two Approaches -- Successful Applications -- Concluding Remarks -- See -- References -- Arc…”

Tabla de Contenidos: “…Inductive Datatypes and Algebraic Structures -- 13.5. Coalgebra and Infinite Datatypes -- 13.6. …”

Tabla de Contenidos: “…7.3 Programmed I/O -- 7.4 Interrupt-Driven I/O -- 7.5 Direct Memory Access -- 7.6 Direct Cache Access -- 7.7 I/O Channels and Processors -- 7.8 External Interconnection Standards -- 7.9 IBM zEnterprise EC12 I/O Structure -- 7.10 Key Terms, Review Questions, and Problems -- Chapter 8 Operating System Support -- 8.1 Operating System Overview -- 8.2 Scheduling -- 8.3 Memory Management -- 8.4 Intel x86 Memory Management -- 8.5 Arm Memory Management -- 8.6 Key Terms, Review Questions, and Problems -- Part Three Arithmetic and Logic -- Chapter 9 Number Systems -- 9.1 The Decimal System -- 9.2 Positional Number Systems -- 9.3 The Binary System -- 9.4 Converting Between Binary and Decimal -- 9.5 Hexadecimal Notation -- 9.6 Key Terms and Problems -- Chapter 10 Computer Arithmetic -- 10.1 The Arithmetic and Logic Unit -- 10.2 Integer Representation -- 10.3 Integer Arithmetic -- 10.4 Floating- Point Representation -- 10.5 Floating-Point Arithmetic -- 10.6 Key Terms, Review Questions, and Problems -- Chapter 11 Digital Logic -- 11.1 Boolean Algebra -- 11.2 Gates -- 11.3 Combinational Circuits -- 11.4 Sequential Circuits -- 11.5 Programmable Logic Devices -- 11.6 Key Terms and Problems -- Part Four The Central Processing Unit -- Chapter 12 Instruction Sets: Characteristics and Functions -- 12.1 Machine Instruction Characteristics -- 12.2 Types of Operands -- 12.3 Intel x86 and ARM Data Types -- 12.4 Types of Operations -- 12.5 Intel x86 and ARM Operation Types -- 12.6 Key Terms, Review Questions, and Problems -- Appendix 12A Little-, Big-, and Bi-Endian -- Chapter 13 Instruction Sets: Addressing Modes and Formats -- 13.1 Addressing Modes -- 13.2 x86 and ARM Addressing Modes -- 13.3 Instruction Formats -- 13.4 x86 and ARM Instruction Formats -- 13.5 Assembly Language -- 13.6 Key Terms, Review Questions, and Problems -- Chapter 14 Processor Structure and Function…”

Tabla de Contenidos: “…7.3 Linear Feature Extraction -- 7.3.1 Feature Extraction Based on the Bhattacharyya Distance with Gaussian Distributions -- 7.3.2 Feature Extraction Based on InterIntra Class Distance -- 7.4 References -- 8 Unsupervised Learning -- 8.1 Feature Reduction -- 8.1.1 Principal Component Analysis -- 8.1.2 Multidimensional Scaling -- 8.1.3 Kernel Principal Component Analysis -- 8.2 Clustering -- 8.2.1 Hierarchical Clustering -- 8.2.2 K-Means Clustering -- 8.2.3 Mixture of Gaussians -- 8.2.4 Mixture of probabilistic PCA -- 8.2.5 Self-Organizing Maps -- 8.2.6 Generative Topographic Mapping -- 8.3 References -- 9 Worked Out Examples -- 9.1 Example on Image Classification with PRTools -- 9.1.1 Example on Image Classification -- 9.1.2 Example on Face Classification -- 9.1.3 Example on Silhouette Classification -- 9.2 Boston Housing Classification Problem -- 9.2.1 Dataset Description -- 9.2.2 Simple Classification Methods -- 9.2.3 Feature Extraction -- 9.2.4 Feature Selection -- 9.2.5 Complex Classifiers -- 9.2.6 Conclusions -- 9.3 Time-of-Flight Estimation of an Acoustic Tone Burst -- 9.3.1 Models of the Observed Waveform -- 9.3.2 Heuristic Methods for Determining the ToF -- 9.3.3 Curve Fitting -- 9.3.4 Matched Filtering -- 9.3.5 ML Estimation Using Covariance Models for the Reflections -- 9.3.6 Optimization and Evaluation -- 9.4 Online Level Estimation in a Hydraulic System -- 9.4.1 Linearized Kalman Filte -- 9.4.2 Extended Kalman Filtering -- 9.4.3 Particle Filtering -- 9.4.4 Discussion -- 9.5 References -- Appendix A Topics Selected from Functional Analysis -- A.1 Linear Spaces -- A.1.1 Normed Linear Spaces -- A.1.2 Euclidean Spaces or Inner Product Spaces -- A.2 Metric Spaces -- A.3 Orthonormal Systems and Fourier Series -- A.4 Linear Operators -- A.5 Selected Bibliography -- Appendix B Topics Selected from Linear Algebra and Matrix Theory…”