Tabla de Contenidos: “…2.1.5 2's complement2.1.6 Signed numbers; 2.1.7 Subtraction and multiplication; 2.1.8 Binary coded decimal; 2.1.9 Gray code; 2.1.10 ASCII code; 2.1.11 Boolean algebra; 2.1.12 Digital logic circuits; 2.1.13 Review questions; 2.1.14 Activities; Chapter 2.2. …”

Tabla de Contenidos: “…-- Im Terminal navigieren -- Ein Programm auf den Arduino übertragen -- Den Code kompilieren -- Linken -- Upload -- AVR-Programmieren -- Quellcode vom Arduino auf AVR anpassen -- Boolesche Algebra -- Zusammenfassung -- Ein paar Fragen ... -- ... und ein paar Aufgaben -- Kapitel 10: Git - Schatztruhe für deinen Code -- Unser Beispielsketch -- Versionskontrolle mit Git -- Der Unterschied zwischen Commits und Änderungen -- Weiter geht es mit unserem Repository -- Teilen deines Codes im Internet -- Deinen Code dokumentieren -- Zusammenfassung -- Ein paar Fragen ... -- ... und ein paar Aufgaben -- Kapitel 11:1 Quellcode anderer Entwickler lesen -- Die Dokumentation -- Der mysteriöse Quellcode -- Zusammenfassung -- Ein paar Fragen ... -- ... und eine Aufgabe -- Kapitel 12: Vergiss mein nicht - Nutzung des EEPROM -- Allgemeines zum EEPROM -- Was könnte man mit dem EEPROM programmieren? …”

Tabla de Contenidos: “…SYNTHESIS OF ARITHMETIC CIRCUITS; CONTENTS; Preface; About the Authors; 1 Introduction; 1.1 Number Representation; 1.2 Algorithms; 1.3 Hardware Platforms; 1.4 Hardware-Software Partitioning; 1.5 Software Generation; 1.6 Synthesis; 1.7 A First Example; 1.7.1 Specification; 1.7.2 Number Representation; 1.7.3 Algorithms; 1.7.4 Hardware Platform; 1.7.5 Hardware-Software Partitioning; 1.7.6 Program Generation; 1.7.7 Synthesis; 1.7.8 Prototype; 1.8 Bibliography; 2 Mathematical Background; 2.1 Number Theory; 2.1.1 Basic Definitions; 2.1.2 Euclidean Algorithms; 2.1.3 Congruences; 2.2 Algebra…”

Tabla de Contenidos: “…5.2.2 OR5.2.3 NOT; 5.2.4 NAND; 5.2.5 NOR; 5.2.6 Exclusive OR (XOR); 5.3 Latching; 5.4 Multiple outputs; 5.5 Entering programs; 5.5.1 Ladder symbols; 5.6 Function blocks; 5.6.1 Logic gates; 5.6.2 Boolean algebra; 5.7 Program examples; 5.7.1 Location of stop switches; Problems; 6 IL, SFC and ST programming methods; 6.1 Instruction lists; 6.1.1 Ladder programs and instruction lists; 6.1.2 Branch codes; 6.1.3 More than one rung; 6.1.4 Programming examples; 6.2 Sequential function charts; 6.2.1 Branching and convergence; 6.2.2 Actions; 6.3 Structured text; 6.3.1 Conditional statements…”

Tabla de Contenidos: “…3.2.7 Views: Virtual Tables3.2.8 The System Catalog; 3.3 The Integrity Component; 3.3.1 Primary Keys; 3.3.2 Foreign Keys; 3.3.3 Constraints; 3.3.4 Null Values; 3.4 Normalization; 3.4.1 Normal Forms; 3.4.2 First Normal Form; 3.4.3 Functional Dependencies; 3.4.4 Second Normal Form; 3.4.5 Third Normal Form; 3.5 The Manipulative Component; 3.5.1 Relational Algebra and Calculus; 3.5.2 The Relational Query Language; 3.5.3 The Advent of SQL; 3.6 The Meaning of Relational; 3.7 Summary; 4 Everything You Ever Wanted to Know about SQL but Were Afraid to Ask; 4.1 The Relational Model…”

Tabla de Contenidos: “….); 4.3 Interpolation; 4.3.1 Linear interpolation; 4.3.2 Loglinear interpolation; 4.3.3 Linear on zero interpolation; 4.3.4 Cubic spline interpolation; 4.4 Root finding; 4.4.1 Bisection method; 4.4.2 Newton-Raphson method; 4.5 Linear algebra; 4.5.1 Matrix multiplication; 4.5.2 Matrix inversion; 4.5.3 Matrix pseudo-inverse…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright and Credits -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: The Declarative Programming Style -- Technical requirements -- Principles of declarative programming -- Example - go-to versus loops -- Example - nested loop -- Don't Repeat Yourself (DRY) -- Declarative versus imperative collections -- Filtering -- Declarative programming in other languages -- Summary -- Questions -- Chapter 2: Functions and Lambdas -- Functions as behavior -- Functions in functional programming -- Higher-order functions -- Understanding lambda functions -- The concept of functions in different programming languages -- Summary -- Questions -- Chapter 3: Functional Data Structures -- Collections framework -- Imperative collections -- Functional collections -- Algebraic approach -- Effect types -- Try -- Option -- Data structures in different programming languages -- Summary -- Questions -- Further reading -- Chapter 4: The Problem of Side Effects -- Side effects -- Mutable states -- Pure functions -- Referential transparency -- Generally encountered side effects -- Error -- Absence of result -- Delay and asynchronous computations -- Logging -- Input-output operations -- But how do we get rid of the side effects? …”

Tabla de Contenidos: “…Log-Linear Models for Categorical Variables -- Regression Models for Categorical Variables -- Models for Event Histories -- Models for Multiple-Item Measurement -- Nonlinear, Nonadditive Models -- Geometric and Algebraic Models -- Scaling -- Ordered Factorial Systems -- Clustering -- Network Models -- STATISTICAL INFERENCE AND ANALYSIS -- Causal Inference -- New Statistical Techniques -- Internal Resampling -- Robust Techniques -- Many Interrelated Parameters -- Missing Data -- Computing -- Computer Packages and Expert Systems -- Exploratory Analysis and Graphic Presentation -- Combining Evidence -- OPPORTUNITIES AND NEEDS -- 6 The Research Support System -- HUMAN RESOURCES -- Colleges and Graduate Schools -- Undergraduate Education -- Graduate Education -- Postdoctoral Training and Collaboration -- Postdoctoral Fellowships and Traineeships -- Advanced Training Institutes -- Collaboration and Communication -- TECHNOLOGICAL RESOURCES -- Computers -- Neuroimaging Devices -- Animal Care -- DATA RESOURCES -- Large-Scale Data Bases -- Research Access to Government Data -- Corporate and Local Government Archives -- FUNDING RESOURCES -- Modes of Support -- Grant Size and Duration -- The Disciplines and Interdisciplinary Research -- Interdisciplinary Research Centers -- THE PROBLEM OF VOICE -- 7 Raising the Scientific Yield -- RESEARCH FRONTIERS -- Behavior, Mind, and Brain -- Motivational and Social Contexts of Behavior -- Choice and Allocation -- Institutions and Cultures -- Methods of Data Collection, Representation, and Analysis -- RECOMMENDED NEW RESOURCES -- Human Resources -- Technological Resources -- Data Resources -- Interdisciplinary Research Centers -- Investigator-Initiated Grants -- Research Agency Changes -- CONCLUSION -- Appendix A Trends in Support for Research in the Behavioral and Social Sciences -- FEDERAL SUPPORT…”

Tabla de Contenidos: “…3.4 Types of Similarity Measures Between Fuzzy Sets 85 -- 3.5 Generalized Fuzzy Number 85 -- 3.6 Similarity Measures Between Two Fuzzy Numbers 88 -- 3.7 Inclusion Measure 94 -- 3.8 Measures of Fuzziness 95 -- 3.8.1 Index of Fuzziness 95 -- 3.8.2 YageŕÖs Measure 96 -- 3.8.3 Fuzzy Entropy 96 -- 3.9 Intuitionistic Fuzzy Distance and Similarity Measures 98 -- 3.10 Intuitionistic Fuzzy Entropy 105 -- 3.11 Different Types of Intuitionistic Fuzzy Entropies 106 -- 3.12 Summary 107 -- References 107 -- 4 Fuzzy/Intuitionistic Fuzzy Measures and Fuzzy Integrals 111 -- 4.1 Introduction 111 -- 4.2 Definition of Fuzzy Measure 111 -- 4.3 Fuzzy Measures 112 -- 4.3.1 Sugeno Î"-Fuzzy Measure 112 -- 4.3.2 Belief Measure 115 -- 4.3.3 Plausibility Measure 116 -- 4.3.4 Possibility Measure and Necessity Measure 116 -- 4.3.4.1 Possibility Measure 117 -- 4.3.4.2 Necessity Measure 119 -- 4.4 Fuzzy Integrals 121 -- 4.4.1 Sugeno Integral 122 -- 4.4.2 Choquet Integral 125 -- 4.4.3 Sipos Integral 129 -- 4.5 Intuitionistic Fuzzy Integral 130 -- 4.5.1 Intuitionistic Fuzzy Choquet Integral 130 -- 4.6 Summary 131 -- References 131 -- 5 Operations on Fuzzy/Intuitionistic Fuzzy Sets and Application in Decision Making 133 -- 5.1 Introduction 133 -- 5.2 Fuzzy Operations 133 -- 5.2.1 Fuzzy Union 134 -- 5.2.2 Fuzzy Intersection 134 -- 5.2.3 Fuzzy Complements 134 -- 5.2.4 Algebraic Product 136 -- 5.2.5 Algebraic Sum 137 -- 5.2.6 Simple Difference 137 -- 5.2.7 Bounded Sum 137 -- 5.2.8 Bounded Difference 137 -- 5.2.9 Bounded Product 137 -- 5.3 Fuzzy Other Operators: Fuzzy T-Norms and T-Conorms 138 -- 5.3.1 Definition of T-Norm 138 -- 5.3.2 Definition of T-Conorm 139 -- 5.4 Implication Operator 142 -- 5.5 Aggregation Operator with Application in Decision Making 144 -- 5.5.1 Fuzzy Weighted Averaging Operator (FWA) 144 -- 5.5.2 Fuzzy Ordered Weighted Averaging Operator (FOWA) 145 -- 5.5.3 Fuzzy Generalized Ordered Weighted Averaging Operator (GOWA) 146 -- 5.5.4 Fuzzy Hybrid Averaging Operator (FHA) 146 -- 5.5.5 Fuzzy Quasi-Arithmetic Weighted Averaging Operator 146.…”

Tabla de Contenidos: “…Appendix 3.D The von Bertalanffy and Richards Models Derived -- Appendix 3.E The Schnute Model Derived -- Appendix 3.F The McDill-Amateis Model Derived -- Appendix 3.G The Sloboda Model Derived -- Appendix 3.H A Generalized Michaelis-Menten Growth Equation -- 4 Estimation of Trend -- 4.1 Linear Trend Equation -- 4.2 Ordinary Least Squares (OLS) Estimation -- 4.3 Maximum Likelihood (ML) Estimation -- 4.4 The SAS System -- 4.5 Changing the Unit of Time -- 4.5.1 Annual Totals versus Monthly Averages versus Monthly Totals -- 4.5.2 Annual Totals versus Quarterly Averages versus Quarterly Totals -- 4.6 Autocorrelated Errors -- 4.6.1 Properties of the OLS Estimators When ε Is AR (1) -- 4.6.2 Testing for the Absence of Autocorrelation: The Durbin-Watson Test -- 4.6.3 Detection of and Estimation with Autocorrelated Errors -- 4.7 Polynomial Models in t -- 4.8 Issues Involving Trended Data -- 4.8.1 Stochastic Processes and Time Series -- 4.8.2 Autoregressive Process of Order p -- 4.8.3 Random Walk Processes -- 4.8.4 Integrated Processes -- 4.8.5 Testing for Unit Roots -- Appendix 4.A OLS Estimated and Related Growth Rates -- 4.A.1 The OLS Growth Rate -- 4.A.2 The Log-Difference (LD) Growth Rate -- 4.A.3 The Average Annual Growth Rate -- 4.A.4 The Geometric Average Growth Rate -- 5 Dynamic Site Equations Obtained from Growth Models -- 5.1 Introduction -- 5.2 Base-Age-Specific (BAS) Models -- 5.3 Algebraic Difference Approach (ADA) Models -- 5.4 Generalized Algebraic Difference Approach (GADA) Models -- 5.5 A Site Equation Generating Function -- 5.5.1 ADA Derivations -- 5.5.2 GADA Derivations -- 5.6 The Grounded GADA (g-GADA) Model -- Appendix 5.A Glossary of Selected Forestry Terms -- 6 Nonlinear Regression -- 6.1 Intrinsic Linearity/Nonlinearity -- 6.2 Estimation of Intrinsically Nonlinear Regression Models -- 6.2.1 Nonlinear Least Squares (NLS)…”

Tabla de Contenidos: “…Front Cover -- Fundamentals of Technical Mathematics -- Copyright -- Dedication -- Contents -- Preface -- Acknowledgments -- 1 - Basic Concepts in Arithmetic -- INTRODUCTION -- 1.1 BASIC ARITHMETIC -- 1.1.1 Arithmetic operations -- 1.1.1.1 Addition (+) -- Example 1 -- Solution -- 1.1.1.2 Subtraction (−) -- Example 2 -- Solution -- 1.1.1.3 Multiplication (×) -- Example 3 -- Solution -- Example 4 -- 1.1.1.4 Division (÷) -- Example 5 -- Solution -- Example 6 -- 1.1.1.5 Fraction (-, /) -- Example 7 -- Solution -- Example 8 -- Solution -- Example 9 -- Solution -- Example 10 -- Solution -- 1.1.1.6 Adding or subtracting of fractions -- Example 11 -- Solution -- Example 12 -- Solution -- 1.1.1.7 Multiplying fractions -- Example 13 -- Solution -- Example 14 -- Solution -- 1.1.1.8 Dividing fractions -- Example 15 -- Solution -- Example 16 -- Solution -- 1.1 EXERCISES -- 1.2 DECIMALS -- Example 1 -- Solution -- Example 2 -- Solution -- 1.2.1 Rules to rounding off decimals -- Example 3 -- Solution -- Example 4 -- 1.2.2 Addition of decimals -- Example 5 -- Solution -- 1.2.3 Subtraction of decimals -- Example 6 -- Solution -- 1.2.4 Multiplication of decimals -- Example 7 -- Solution -- 1.2.5 Division of decimals -- Example 8 -- Solution -- 1.2 EXERCISES -- 1.3 PERCENTS (%) -- Example 9 -- Solution -- Example 10 -- Solution -- Example 11 -- Example 12 -- Solution -- Example 13 -- Solution -- Example 14 -- Solution -- Example 15 -- Solution -- 1.3 EXERCISES -- CHAPTER 1 REVIEW EXERCISES -- 2 - Introduction to Algebra -- INTRODUCTION -- 2.1 INTRODUCTION TO ALGEBRA -- Example 1 -- Solution -- Example 2 -- Solution -- Example 3 -- Solution -- Example 4 -- Solution -- 2.1.1 Basic principles of addition -- Example 1 -- 2.1.2 Basic principles of multiplication -- Example 1 -- Example 2 -- Solution -- Example 3 -- Solution -- Example 4 -- 2.1.3 Exponent and radicals…”

Tabla de Contenidos: “…Acknowledgements v -- Contents vi -- Foreword x -- Foreword xii -- Preface xiv -- 1 Formulation of the motor control problem xiv -- 1.1 Electromagnetic torque xiv -- 1.2 Response time in tracking mode and on disturbances xv -- 1.3 Limitations xvi -- 2 Field orientation controls xviii -- 3 Sliding mode control families xviii -- 4 Objectives of a new motor control xx -- 5 Objectives of this work xxiii -- Capter 1 - Induction machine 1 -- 1 Electrical equations and equivalent circuits 1 -- 1.1 Definitions and notations 1 -- 1.2 Equivalent electrical circuits 2 -- 1.3 Differential equation system 4 -- 1.4 Interpretation of electrical relations 6 -- 2 State-space equation system working out 11 -- 2.1 State-space equations in the fixed plane 13 -- 2.2 State-space equations in the complex plane 16 -- 2.3 Complex state-space equation discretization 17 -- 2.4 Evolution matrix diagonalization 19 -- 2.4.1 Eigenvalues 19 -- 2.4.2 Transfer matrix algebraic calculation 20 -- 2.4.3 Transfer matrix inversion 21 -- 2.5 Projection of state-space vectors in the eigenvector basis 23 -- 3 Discretized state-space equation inversion 24 -- 3.1 Introduction of the rotating frame 24 -- 3.2 State-space vector calculations in the eigenvector basis 27 -- 3.3 Control calculation - eigenstate-space equation system inversion 34 -- 4 Control 35 -- 4.1 Constitution of the set-point state-space vector 35 -- 4.2 Constitution of the initial state-space vector 38 -- 4.3Control process 38 -- 4.3.1 Real-time implementation 38 -- 4.3.2 Measure filtering 41 -- 4.3.3 Transition and input matrix calculations 41 -- 4.3.4 Kalman's filter, observation and prediction 42 -- 4.3.5 Synoptic of measurement, filtering and prediction 44 -- 4.4 Limitations 47 -- 4.4.1 Voltage limitation 48 -- 4.4.2 Current limitation 51 -- 4.4.3 Operating area and limits 51 -- 4.4.4 Set-point limit algebraic calculations 52 -- 4.5 Example of implementation 65 -- 4.5.1 Adjustment of flux and torque - Limitations in traction operation 65.…”

Tabla de Contenidos: “…Evaluating relations between variables with ANOVA -- Chapter 4: Dealing with Data and Numerical Issues -- Introduction -- Clipping and filtering outliers -- Winsorizing data -- Measuring central tendency of noisy data -- Normalizing with the Box-Cox transformation -- Transforming data with the power ladder -- Transforming data with logarithms -- Rebinning data -- Applying logit() to transform proportions -- Fitting a robust linear model -- Taking variance into account with weighted least squares -- Using arbitrary precision for optimization -- Using arbitrary precision for linear algebra -- Chapter 5: Web Mining, Databases, and Big Data -- Introduction -- Simulating web browsing -- Scraping the Web -- Dealing with non-ASCII text and HTML entities -- Implementing association tables -- Setting up database migration scripts -- Adding a table column to an existing table -- Adding indices after table creation -- Setting up a test web server -- Implementing a star schema with fact and dimension tables -- Using HDFS -- Setting up Spark -- Clustering data with Spark -- Chapter 6: Signal Processing and Timeseries -- Introduction -- Spectral analysis with periodograms -- Estimating power spectral density with the Welch method -- Analyzing peaks -- Measuring phase synchronization -- Exponential smoothing -- Evaluating smoothing -- Using the Lomb-Scargle periodogram -- Analyzing the frequency spectrum of audio -- Analyzing signals with the discrete cosine transform -- Block bootstrapping time series data -- Moving block bootstrapping time series data -- Applying the discrete wavelet transform -- Chapter 7: Selecting Stocks with Financial Data Analysis -- Introduction -- Computing simple and log returns -- Ranking stocks with the Sharpe ratio and liquidity -- Ranking stocks with the Calmar and Sortino ratios -- Analyzing returns statistics…”

“…The book only requires the reader to be knowledgeable in the basics of algebra and statistics. The Mathematical formulae are only fully proven when the proof brings some useful insight. …”

“…Grokking Artificial Intelligence Algorithms uses illustrations, exercises, and jargon-free explanations to teach fundamental AI concepts. All you need is the algebra you remember from high school math class. …”

Tabla de Contenidos: “…Starting Out -- Using the Erlang Shell -- Entering Shell Commands -- Exiting the Shell -- Some Erlang Basics -- Numbers -- Invariable Variables -- Atoms -- Boolean Algebra and Comparison Operators -- Tuples -- Lists -- List Comprehensions -- Working with Binary Data -- Bit Syntax -- Bitwise Binary Operations -- Binary Strings -- Binary Comprehensions -- 2. …”

“…He also reveals a new derivation using linear algebra (included in Chapter 6), and the proxy formula is then exploited in the following chapters for correlation trading and correlation modeling. …”

Tabla de Contenidos: “…3.4 Data Owner's Integrity Verification -- 3.5 The Game of Miners Versus Storage Networks -- 4 Fault-Tolerance Verification -- 5 Concluding Remarks -- References -- Iterative Learning Control Based on Random Variance Reduction Gradient Method -- 1 Introduction -- 1.1 Background -- 1.2 Design and Analysis of SVRG-Based ILC -- 1.3 Main Work and Organization -- 2 SVRG-Based ILC Framework -- 2.1 System Description -- 2.2 Algorithm Design -- 2.3 Convergence Analysis -- 3 SVRG-Based ILC Under Random Data Dropouts -- 3.1 System Description -- 3.2 Algorithm Design -- 3.3 Convergence Analysis -- 3.4 Numerical Simulation -- 4 Model-Free SVRG-Based ILC for MIMO Systems -- 4.1 System Description -- 4.2 Algorithm Design -- 4.3 Convergence Analysis -- 4.4 Numerical Simulation -- 5 Conclusions -- References -- A Generalization of NTRUEncrypt -- 1 φ-Cyclic Code -- 2 A Generalization of NTRUEncrypt -- References -- Cyclic Lattices, Ideal Lattices, and Bounds for the Smoothing Parameter -- 1 Discrete Subgroup in mathbbRn -- 2 Ideal Matrices -- 3 Cyclic Lattices and Ideal Lattices -- 4 Smoothing Parameter -- References -- On the LWE Cryptosystem with More General Disturbance -- 1 Introduction -- 1.1 Innovation and Contribution -- 2 Methodology -- 2.1 Preliminary Property -- 2.2 Probability of Decryption Error Based on Gaussian Disturbance -- 2.3 Probability of Decryption Error for General Disturbance -- 3 Results and Conclusions -- 4 Discussions -- 4.1 Future Work -- References -- On the High Dimensional RSA Algorithm-A Public Key Cryptosystem Based on Lattice and Algebraic Number Theory -- 1 Introduction -- 2 Ideal Matrices -- 3 High Dimensional RSA -- 4 Security and Example -- References -- Central Bank Digital Currency Cross-Border Payment Model Based on Blockchain Technology -- 1 Introduction -- 2 CBDC Cross-Border Payment Development Current Situation…”

Tabla de Contenidos: “…Vector Analysis -- 3-1 Basic Laws of Vector Algebra -- 3-2 Orthogonal Coordinate Systems -- 3-3 Transformations between Coordinate Systems -- 3-4 Gradient of a Scalar Field -- TB5 Global Positioning System -- 3-5 Divergence of a Vector Field -- 3-6 Curl of a Vector Field -- TB6 X-Ray Computed Tomography -- 3-7 Laplacian Operator -- Chapter 4. …”

Tabla de Contenidos: “…-- Problems -- A Non-relativistic Quantum Mechanics -- B Natural Units -- C Maxwell's Equations: Choice of Units -- D Special Relativity: Invariance and Covariance -- E Dirac δ-Function -- F Contour Integration -- G Green Functions -- H Elements of Non-relativistic Scattering Theory -- H.1 Time-independent formulation and differential cross section -- H.2 Expression for the scattering amplitude: Born approximation -- H.3 Time-dependent approach -- I The Schrödinger and Heisenberg Pictures -- J Dirac Algebra and Trace Identities -- J.1 Dirac algebra -- J.1.1 γ matrices -- J.1.2 γ5 identities -- J.1.3 Hermitian conjugate of spinor matrix elements -- J.1.4 Spin sums and projection operators -- J.2 Trace theorems…”