Tabla de Contenidos: “…-- Functions Relevant to Lookups -- Basic Lookup Formulas -- The VLOOKUP function -- The HLOOKUP function -- The LOOKUP function -- Combining the MATCH and INDEX functions -- Specialized Lookup Formulas -- Looking up an exact value -- Looking up a value to the left -- Performing a case-sensitive lookup -- Choosing among multiple lookup tables -- Determining letter grades for test scores -- Calculating a grade point average -- Performing a two-way lookup -- Performing a two-column lookup -- Determining the address of a value within a range -- Looking up a value by using the closest match -- Looking up a value using linear interpolation -- Chapter 9: Working with Tables and Lists -- Tables and Terminology -- A list example -- A table example -- Working with Tables -- Creating a table -- Changing the look of a table -- Navigating and selecting in a table -- Adding new rows or columns -- Deleting rows or columns -- Moving a table -- Removing duplicate rows from a table -- Sorting and filtering a table -- Working with the Total row -- Using formulas within a table -- Referencing data in a table -- Converting a table to a list -- Using Advanced Filtering -- Setting up a criteria range -- Applying an advanced filter -- Clearing an advanced filter -- Specifying Advanced Filter Criteria -- Specifying a single criterion -- Specifying multiple criteria -- Specifying computed criteria -- Using Database Functions -- Inserting Subtotals -- Chapter 10: Miscellaneous Calculations -- Unit Conversions -- Rounding Numbers -- Basic rounding formulas…”

Tabla de Contenidos: “…Cover -- Title page -- Copyright and credits -- Contributors -- Table of Contents -- Preface -- Part 1: Introduction and Crash Course -- Chapter 1: Starting Your First Vue Project -- Technical requirements -- Understanding Vue as a framework -- Angular versus Vue -- React versus Vue -- Advantages of using Vue for your project -- Working with Vue -- Understanding the Vue instance -- Setting up a Vite-powered Vue application -- Vue's SFC architecture -- Exercise 1.01 - building your first component -- Exploring data properties as a local state -- Writing components with script setup -- Exercise 1.02 - interpolation with conditionals -- Understanding Vue directives -- Exercise 1.03 - exploring basic directives (v-text, v-once, v-html, v-bind, v-if, v-show) -- Enabling two-way binding using v-model -- Exercise 1.04 - experimenting with two-way binding using v-model -- Understanding data iteration with v-for -- Basic iteration using v-for -- Exercise 1.05 - using v-for to iterate through an array of strings -- Iterating through an array of objects -- Exercise 1.06 - using v-for to iterate through an array of objects and using their properties in v-if conditions -- Iterating through a keyed collection (Object) -- Exercise 1.07 - using v-for to loop through the properties of Object -- Exploring methods -- Exercise 1.08 - triggering methods -- Exercise 1.09 - returning data using Vue methods -- Understanding component lifecycle hooks -- Exercise 1.10 - using a Vue lifecycle to control data -- Styling components -- Exercise 1.11 - importing SCSS into a scoped component -- Setting up state-driven dynamic CSS in Vue 3 -- Understanding CSS modules -- Exercise 1.12 - styling Vue components using CSS modules -- Activity 1.01 - building a dynamic shopping list app using Vue -- Summary -- Chapter 2: Working with Data -- Technical requirements…”

Tabla de Contenidos: “…uniq -- Counting -- wc -- head -- tail -- tee -- awk -- sed -- Practical pipe patterns -- "Top X", with count -- curl | bash -- Security considerations for curl | sudo | bash -- Filtering and searching with grep -- grep and tail for log monitoring -- find and xargs for bulk file operations -- sort, uniq, and reverse numerical sort for data analysis -- awk and sort for reformatting data and field-based processing -- sed and tee for editing and backup -- ps, grep, awk, xargs, and kill for process management -- tar and gzip for backup and compression -- Advanced: inspecting file descriptors -- Conclusion -- Chapter 12: Automating Tasks with Shell Scripts -- Why you need Bash scripting basics -- Basics -- Variables -- Setting -- Getting -- Bash versus other shells -- Shebangs and executable text files, aka scripts -- Common Bash settings (options/arguments) -- /usr/bin/env -- Special characters and escaping -- Command substitution -- Testing -- Testing operators -- [[ file and string testing ]] -- Useful operators for string testing -- Useful operators for file testing -- (( arithmetic testing )) -- Conditionals: if/then/else -- ifelse -- Loops -- C-style loops -- for...in -- While -- Variable exporting -- Functions -- Prefer local variables -- Input and output redirection -- &lt -- : input redirection -- &gt -- and &gt -- &gt -- : output redirection -- Use 2&gt -- &amp -- 1 to redirect STDERR and STDOUT -- Variable interpolation syntax - {} -- Limitations of shell scripts -- Conclusion -- Citations -- Chapter 13: Secure Remote Access with SSH -- Public key cryptography primer -- Message encryption -- Message signing -- SSH keys -- Exceptions to these rules -- Logging in and authenticating -- Practical project: Set up a key-based login to a remote server -- Step 1: Open your terminal on the SSH client (not the server) -- Step 2: Generate the key pair…”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Credits -- About the Author -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Why C# and How to Download and Install the Visual Studio Community Edition -- Locating and downloading the Visual Studio Community edition -- Summary -- Chapter 2: Customizing Visual Studio to Make it Feel More Personal -- Customizing Visual Studio -- Selecting the text editor font and size -- Selecting the Statement Completion font and size -- Selecting the Environment font and size -- Positioning Visual Studio panels -- Summary -- Chapter 3: Creating and Running Your First Page -- Starting a new project in Visual C# -- Working with Solutions Explorer -- Adding a document to your browser -- Working with HTML code in Visual Studio -- Launching the HTML code -- Summary -- Chapter 4: Creating and Running a Page That Incorporates C# -- Improving your first program -- Working in the Design view -- Working in the Source view -- Adding comments -- Adding attribute properties -- Viewing the code in your browser -- Summary -- Chapter 5: Creating and Using a Single Variable -- Setting up Visual C# to deal with a variable -- Variables represent change -- Declaring a variable -- Matching variable types -- Running the code -- Appending new text -- Running the code with the appended text -- Embedding a line break -- Summary -- Chapter 6: String Interpolation and Updating Visual Studio -- Selecting a NuGet package -- Installing a NuGet package -- Printing a variable -- Summary -- Chapter 7: Formatting Output Strings for More Professional Results -- Setting a value and formatting it as currency -- Rounding the output -- Formatting a value as a percent -- Formatting a value as a date -- Summary -- Chapter 8: Using Variables and Data Types -- Setting a page title automatically…”

Tabla de Contenidos: “…-- References -- Exercises -- Summary -- Chapter 8: Time-Series Analysis -- Introduction to time-series analysis -- Merging datasets based on a date variable -- Using pandas.date_range() to generate one dimensional time-series -- Return estimation -- Converting daily returns to monthly ones -- Merging datasets by date -- Understanding the interpolation technique -- Merging data with different frequencies -- Tests of normality -- Estimating fat tails -- T-test and F-test -- Tests of equal variances -- Testing the January effect -- 52-week high and low trading strategy -- Estimating Roll's spread -- Estimating Amihud's illiquidity -- Estimating Pastor and Stambaugh (2003) liquidity measure -- Fama-MacBeth regression -- Durbin-Watson -- Python for high-frequency data -- Spread estimated based on high-frequency data -- Introduction to CRSP -- References -- Appendix A - Python program to generate GDP dataset usGDPquarterly2.pkl -- Appendix B - critical values of F for the 0.05 significance level -- Appendix C - data case #4 - which political party manages the economy better? …”

Tabla de Contenidos: “…Strings -- 2.1 Testing String Equality -- Problem -- Solution -- Discussion -- See Also -- 2.2 Creating Multiline Strings -- Problem -- Solution -- Discussion -- 2.3 Splitting Strings -- Problem -- Solution -- Discussion -- 2.4 Substituting Variables into Strings -- Problem -- Solution -- Discussion -- See Also -- 2.5 Formatting String Output -- Problem -- Solution -- Discussion -- See Also -- 2.6 Processing a String One Character at a Time -- Problem -- Solution -- Discussion -- A Complete Example -- See Also -- 2.7 Finding Patterns in Strings -- Problem -- Solution -- Discussion -- See Also -- 2.8 Replacing Patterns in Strings -- Problem -- Solution -- See Also -- 2.9 Extracting Parts of a String That Match Patterns -- Problem -- Solution -- Discussion -- See Also -- 2.10 Accessing a Character in a String -- Problem -- Solution -- Discussion -- 2.11 Creating Your Own String Interpolator -- Problem -- Solution -- Discussion -- See Also -- 2.12 Creating Random Strings -- Problem -- Solution -- Discussion -- See Also -- Chapter 3. …”

Tabla de Contenidos: “…Interpreting the grayscale previews -- Radius and Detail grayscale preview -- Masking slider -- Masking slider example -- Real world sharpening examples -- Sharpening portrait images -- Sharpening landscape images -- Sharpening a fine-detailed image -- How to save sharpening settings as presets -- Capture sharpening summary -- Selective sharpening in Camera Raw -- Negative sharpening -- Extending the sharpening limits -- Dual Smart Object sharpening layers -- How to apply localized sharpening -- Negative sharpening to blur an image -- Noise removal in Camera Raw -- Detail panel Noise Reduction sliders -- Color noise -- Removing random pixels -- CMOS and CCD sensors -- Noise Reduction adjustments -- Color Smoothness slider -- Adding grain to improve appearance of sharpness -- Localized noise reduction in Camera Raw -- Localized moiré removal in Camera Raw -- Smart Sharpened -- No sharpening -- Localized sharpening in Photoshop -- Sharpen tool -- Smart Sharpen filter -- Basic Smart Sharpen mode -- Advanced Smart Sharpen mode -- Removing Motion Blur -- Shake Reduction filter -- The Shake Reduction controls -- Repeat filtering -- Smart object support -- Blur direction tool -- How to get the best results -- Creating a depth of field brush -- 4 Image editing essentials -- Pixels versus vectors -- Photoshop as a vector program -- Image resolution terminology -- PPI: pixels per inch -- LPI: lines per inch -- DPI: dots per inch -- Desktop printer resolution -- Altering the image size -- Image interpolation -- Nearest Neighbor (hard edges) -- Bilinear -- Bicubic (smooth gradients) -- Bicubic Smoother (enlargement) -- Bicubic Sharper (reduction) -- Bicubic Automatic -- Preserve Details (enlargement) -- Photoshop image adjustments -- The image histogram -- The Histogram panel -- Basic Levels editing and the histogram -- Bit depth…”

Tabla de Contenidos: “…Cycling Colors with the HelloWorld Shader -- World-Space Dissolve -- World-Space Dissolve in HLSL -- World-Space Dissolve in Shader Graph -- World-Space Dissolve Scripting -- Controlling Shaders with Animations -- Shader Keywords -- Shader Keywords in HLSL -- Declaring Keyword Properties -- Using Keywords -- Shader Keywords in Shader Graph -- Modifying Keywords Using C# Scripting -- UsePass in ShaderLab -- GrabPass in ShaderLab -- Sepia Tone Effect Using GrabPass in the Built-in Pipeline -- Sepia Tone Effect Using Camera Opaque Texture in URP -- Sepia Tone Effect Using the Scene Color Node in Shader Graph -- Summary -- Chapter 10: Lighting and Shadows -- Lighting Models -- Ambient Light -- Diffuse Light -- Specular Light -- Fresnel Light -- Blinn-Phong Reflection Model -- Flat Shading -- Flat Shading in HLSL -- Accessing Lights in the Built-In Pipeline -- Accessing Lights in URP -- Flat Shading in Shader Graph -- Gouraud Shading -- Gouraud Shading in HLSL -- Gouraud Vertex Shader in the Built-In Pipeline -- Gouraud Vertex Shader in URP -- Gouraud Shading in Shader Graph -- GetMainLight Sub Graph -- GetAmbientLight Sub Graph -- Gouraud Shading with Custom Interpolators -- Phong Shading -- Phong Shading in HLSL -- Phong Shading in the Built-In Pipeline -- Phong Shading in URP -- Fresnel Light Modification -- Phong Shading in Shader Graph -- Physically Based Rendering -- Smoothness -- Metallic Mode -- Specular Mode -- Normal Mapping -- Ambient Occlusion -- Emission -- PBR in the Built-In Pipeline -- PBR in URP -- PBR in Shader Graph -- Shadow Casting -- Shadow Casting in the Built-In Pipeline -- Shadow Casting in URP -- Shadow Casting in Shader Graph -- Summary -- Chapter 11: Image Effects and Post-Processing -- Render Textures -- Post-Processing Effects -- Grayscale Image Effect -- Post-Processing in the Built-In Pipeline…”

Tabla de Contenidos: “…Inheritance, HOC -- 2.2.1 Case Study: Multiple Photo Feeds -- 2.2.2 Key Takeaways -- 2.3 ScrollView and FlatList -- 2.3.1 Case Study: Moment -- 2.3.2 Key Takeaways -- 2.4 Error Handling -- 2.4.1 Case Study: Moment (Reinforced) -- 2.4.2 Key Takeaways -- 2.5 Summary -- Chapter 3: Animation in React Native -- 3.1 Introduction to React Native Animation -- 3.2 Layout Animation -- 3.2.1 Presets -- 3.2.2 LayoutAnimation.create( ) -- 3.2.3 Raw Animation Config -- 3.2.4 Android -- 3.2.5 Case Study, Read More -- 3.2.6 Key Takeaways -- 3.3 Value Animation -- 3.3.1 Animate the Animation -- 3.3.1.1 Animated.timing( ) -- 3.3.1.2 Animated.spring( ) -- 3.3.1.3 Animation Cohort -- 3.3.1.4 setValue( ) -- 3.3.2 Bind the Animation Value -- 3.3.2.1 The transform props.style -- 3.3.2.2 Value Interpolation -- 3.3.2.3 Value Calculation -- 3.3.3 Case Study 1, Looming Animation for Image Loading -- 3.3.4 Case Study 2, Loading Indicators -- 3.3.5 Key Takeaways -- 3.4 Gesture-Driven Animation -- 3.4.1 Native Event -- 3.4.2 Case Study, a Pull Down Load Experience -- 3.4.3 Key Takeaways -- 3.5 Summary -- Chapter 4: Native Modules and Components -- 4.1 Native Modules -- 4.1.1 iOS Native Module…”

Tabla de Contenidos: “…Free Transform with Rasterized Layers -- Free Transform with a Smart Object Layer -- Free Transform Options -- Scale -- Rotate -- Project Idea: Reference Point -- Continue with Free Transform -- Skew -- Interpolation -- Distort -- Perspective -- Warp -- Warp Transformation Options -- Guide Options -- Should You Create Free Transforms and Warps with Normal or Smart Object Layers? …”

Tabla de Contenidos: “…4.13.1 Confidence Intervals for Linear Regression Analysis -- 4.13.2 Tolerance Intervals for Linear Regression Analysis -- 4.13.3 Prediction Intervals for Regression Analysis -- 4.14 Statistical Intervals for Comparing Populations and Processes -- Bibliographic Notes -- Chapter 5 Distribution-Free Statistical Intervals -- Objectives and Overview -- 5.1 Introduction -- 5.1.1 Motivation -- 5.1.2 Notation -- 5.2 Distribution-Free Confidence Intervals and One-Sided Confidence Bounds for a Quantile -- 5.2.1 Coverage Probabilities for Distribution-Free Confidence Intervals or One-Sided Confidence Bounds for a Quantile -- 5.2.2 Using Interpolation to Obtain Approximate Distribution-Free Confidence Bounds or Confidence Intervals for a Quantile -- 5.2.3 Distribution-Free One-Sided Upper Confidence Bounds for a Quantile -- 5.2.4 Distribution-Free One-Sided Lower Confidence Bounds for a Quantile -- 5.2.5 Distribution-Free Two-Sided Confidence Interval for a Quantile -- 5.3 Distribution-Free Tolerance Intervals and Bounds to Contain a Specified Proportion of a Distribution -- 5.3.1 Distribution-Free Two-Sided Tolerance Intervals -- 5.3.2 Distribution-Free One-Sided Tolerance Bounds -- 5.3.3 Minimum Sample Size Required for Constructing a Distribution-Free Two-Sided Tolerance Interval -- 5.4 Prediction Intervals and Bounds to Contain a Specified Ordered Observation in a Future Sample -- 5.4.1 Coverage Probabilities for Distribution-Free Prediction Intervals and One-Sided Prediction Bounds for a Particular Ordered Observation -- 5.4.2 Distribution-Free One-Sided Upper Prediction Bound for Y(j) -- 5.4.3 Distribution-Free One-Sided Lower Prediction Bound for Y(j) -- 5.4.4 Distribution-Free Two-Sided Prediction Interval for Y(j) -- 5.5 Distribution-Free Prediction Intervals and Bounds to Contain at Least k of m Future Observations…”

Tabla de Contenidos: “…-- 18 Managing interest rate risk using FRAs, futures and swaps -- 18.1 Using FRAs -- 18.2 Using short-term interest rate futures -- 18.3 Calculating the hedge ratio -- 18.4 Stack vs. strip hedges -- 18.5 Different kinds of basis risk -- 18.6 Managing the convergence basis -- 18.7 Interpolated hedges -- 18.8 Combining the techniques -- 18.9 FRAs vs. futures -- 18.10 Using swaps -- 18.11 Hedging bond and swap portfolios -- 18.12 Hedging bond portfolios with bond futures -- 19 Managing interest rate risk - using options and option-based instruments -- 19.1 Interest rate guarantees -- 19.2 Using caps and floors -- 19.3 Collars, participating caps, spread hedges and other variations -- 19.4 Using captions and swaptions -- 19.5 Comparison of interest risk management tools -- 20 Managing equity risk -- 20.1 Bull and bear strategies -- 20.2 Return enhancement -- 20.3 Value protection strategies -- 20.4 Vertical, horizontal and diagonal spreads -- 20.5 Other option strategies…”

Tabla de Contenidos: “…3 At-Least-K Conjunctive Normal Form (KNF) -- 4 Cardinality Constraint Extraction and Analysis -- 4.1 Extraction -- 4.2 Analysis with BDDs -- 4.3 PySAT Encodings Experimental Evaluation -- 5 Cardinality Conflict-Driven Clause Learning -- 5.1 Implementation Details -- 5.2 Inprocessing Techniques -- 6 Proof Checking -- 6.1 Satisfying Assignments -- 6.2 Clausal Proofs -- 6.3 Starting with KNF Input -- 7 Experimental Evaluation -- 7.1 SAT Competition Benchmarks -- 7.2 Magic Squares and Max Squares -- 8 Conclusion and Future Work -- References -- CaDiCaL 2.0 -- 1 Introduction -- 2 Architecture -- 3 External Propagator -- 4 Proofs -- 5 Tracer Interface -- 6 Constraints and Flipping -- 7 Interpolation -- 8 Testing and Debugging -- 9 Experiments -- 10 Conclusion -- References -- Formally Certified Approximate Model Counting -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Approximate Model Counting -- 3.2 Formalization in Isabelle/HOL -- 4 Approximate Model Counting in Isabelle/HOL -- 4.1 Abstract Specification and Probabilistic Analysis -- 4.2 Concretization to a Certificate Checker -- 4.3 Extending ApproxMC to ApproxMCCert -- 4.4 CNF-XOR Unsatisfiability Checking -- 5 Experimental Evaluation -- 6 Conclusion and Future Work -- References -- Scalable Bit-Blasting with Abstractions -- 1 Introduction -- 2 Preliminaries -- 3 Abstraction-Refinement Framework -- 4 Refinement Schemes -- 4.1 Hand-Crafted Lemmas -- 4.2 Lemma Scoring Scheme -- 4.3 Synthesizing Lemmas via Abduction -- 4.4 Lemma Verification -- 5 Integration -- 6 Evaluation -- 7 Conclusion -- References -- Hardware Model Checking -- The MoXI Model Exchange Tool Suite -- 1 Overview -- 2 Intermediate Language -- 3 Tool Suite -- 3.1 Translators -- 3.2 Utilities -- 4 Tool Suite Validation -- 5 Benchmarks -- 6 Conclusion and Future Work -- References -- SMLP: Symbolic Machine Learning Prover…”

Tabla de Contenidos: “…Preface xiii Table of Engineering Applications xvii Part 1 Introduction 1 Mathematica Environment and Basic Syntax 3 1.1 Introduction 3 1.2 Selecting Notebook Characteristics 4 1.3 Notebook Cells 8 1.4 Delimiters 12 1.5 Basic Syntax 12 1.5.1 Introduction 12 1.5.2 Templates: Greek Symbols and Mathematical Notation 15 1.5.3 Variable Names and Global Variables 18 1.6 Mathematical Constants 19 1.7 Complex Numbers 21 1.8 Elementary, Trigonometric, Hyperbolic, and a Few Special Functions 22 1.9 Strings 25 1.9.1 String Creation: StringJoin[] and ToString[] 25 1.9.2 Labeled Output: Print[], NumberForm[], EngineeringForm[], and TraditionalForm[] 26 1.10 Conversions, Relational Operators, and Transformation Rule 28 1.11 Engineering Units and Unit Conversions: Quantity[] and UnitConvert[] 30 1.12 Creation of CDF Documents and Documents in Other Formats 33 1.13 Functions Introduced in Chapter 1 34 Exercises 35 2 List Creation and Manipulation: Vectors and Matrices 39 2.1 Introduction 39 2.2 Creating Lists and Vectors 39 2.2.1 Introduction 39 2.2.2 Creating a List with Table[] 45 2.2.3 Summing Elements of a List: Total[] 46 2.2.4 Selecting Elements of a List 47 2.2.5 Identifying List Elements Matching a Pattern: Position[] 49 2.3 Creating Matrices 51 2.3.1 Introduction 51 2.3.2 Matrix Generation Using Table[] 54 2.3.3 Accessing Elements of Arrays 55 2.4 Matrix Operations on Vectors and Arrays 56 2.4.1 Introduction 56 2.4.2 Matrix Inverse and Determinant: Inverse[] and Det[] 57 2.5 Solution of a Linear System of Equations: LinearSolve[] 58 2.6 Eigenvalues and Eigenvectors: EigenSystem[] 59 2.7 Functions Introduced in Chapter 2 61 References 61 Exercises 61 3 User-Created Functions, Repetitive Operations, and Conditionals 69 3.1 Introduction 69 3.2 Expressions and Procedures as Functions 69 3.2.1 Introduction 69 3.2.2 Pure Function: Function[] 74 3.2.3 Module[] 78 3.3 Find Elements of a List that Meet a Criterion: Select[] 80 3.4 Conditionals 82 3.4.1 If[] 82 3.4.2 Which[] 83 3.5 Repetitive Operations 83 3.5.1 Do[] 83 3.5.2 While[] 83 3.5.3 Nest[] 84 3.5.4 Map[] 84 3.6 Examples of Repetitive Operations and Conditionals 85 3.7 Functions Introduced in Chapter 3 92 Exercises 92 4 Symbolic Operations 95 4.1 Introduction 95 4.2 Assumption Options 101 4.3 Solutions of Equations: Solve[] 101 4.4 Limits: Limit[] 105 4.5 Power Series: Series[], Coefficient[], and CoefficientList[] 108 4.6 Optimization: Maximize[]/Minimize[] 112 4.7 Differentiation: D[] 114 4.8 Integration: Integrate[] 120 4.9 Solutions of Ordinary Differential Equations: DSolve[] 126 4.10 Solutions of Partial Differential Equations: DSolve[] 136 4.11 Laplace Transform: LaplaceTransform[] and InverseLaplaceTransform[] 138 4.12 Functions Introduced in Chapter 4 145 References 145 Exercises 146 5 Numerical Evaluations of Equations 151 5.1 Introduction 151 5.2 Numerical Integration: NIntegrate[] 151 5.3 Numerical Solutions of Differential Equations: NDSolveValue[] and ParametricNDSolveValue[] 154 5.4 Numerical Solutions of Equations: NSolve[] 178 5.5 Roots of Transcendental Equations: FindRoot[] 180 5.6 Minimum and Maximum: FindMinimum[] and FindMaximum[] 182 5.7 Fitting of Data: Interpolation[] and FindFit[] 186 5.8 Discrete Fourier Transforms and Correlation: Fourier[], InverseFourier[], and ListCorrelate[] 189 5.9 Functions Introduced in Chapter 5 194 References 195 Exercises 196 6 Graphics 209 6.1 Introduction 209 6.2 2D Graphics 209 6.2.1 Basic Plotting 209 6.2.2 Basic Graph Enhancements 213 6.2.3 Common 2D Shapes: Graphics[] 217 6.2.4 Additional Graph Enhancements 222 6.2.5 Combining Figures: Show[] and GraphicsGrid[] 238 6.2.6 Tooltip[] 241 6.2.7 Exporting Graphics 244 6.3 3D Graphics 244 6.4 Summary of Functions Introduced in Chapter 6 253 References 254 Exercises 254 7 Interactive Graphics 263 7.1 Interactive Graphics: Manipulate[] 263 References 287 Exercises 287 Part 2 Engineering Applications 8 Vibrations of Spring Mass Systems and Thin Beams 293 8.1 Introduction 293 8.2 Single Degree-of-Freedom Systems 294 8.2.1 Periodic Force on a Single Degree-of-Freedom System 294 8.2.2 Squeeze Film Damping and Viscous Fluid Damping 298 8.2.3 Electrostatic Attraction 302 8.2.4 Single Degree-of-Freedom System Energy Harvester 304 8.3 Two Degrees-of-Freedom Systems 307 8.3.1 Governing Equations 307 8.3.2 Response to Harmonic Excitation: Amplitude Response Functions 307 8.3.3 Enhanced Energy Harvester 310 8.4 Thin Beams 315 8.4.1 Natural Frequencies and Mode Shapes of a Cantilever Beam with In-Span Attachments 315 8.4.2 Effects of Electrostatic Force on the Natural Frequency and Stability of a Beam 318 8.4.3 Response of a Cantilever Beam with an In-Span Attachment to an Impulse Force 323 References 326 9 Statistics 327 9.1 Descriptive Statistics 327 9.1.1 Introduction 327 9.1.2 Location Statistics: Mean[], StandardDeviation[], and Quartile[] 327 9.1.3 Continuous Distribution Functions: PDF[] and CDF[] 329 9.1.4 Histograms and Probability Plots: Histogram[] and ProbabilityScalePlot [] 331 9.1.5 Whisker Plot: BoxWhiskerChart[] 332 9.1.6 Creating Data with Specified Distributions: RandomVariate[] 334 9.2 Probability of Continuous Random Variables 334 9.2.1 Probability for Different Distributions: NProbability[] 334 9.2.2 Inverse Cumulative Distribution Function: InverseCDF[] 337 9.2.3 Distribution Parameter Estimation: EstimatedDistribution[] and FindDistributionParameters[] 337 9.2.4 Confidence Intervals: CI[] 340 9.2.5 Hypothesis Testing: LocationTest[] and VarianceTest[] 342 9.3 Regression Analysis: LinearModelFit[] 343 9.3.1 Simple Linear Regression 343 9.3.2 Multiple Linear Regression 347 9.4 Nonlinear Regression Analysis: NonLinearModelFit[] 351 9.5 Analysis of Variance (ANOVA) and Factorial Designs: ANOVA[] 354 9.6 Functions Introduced in Chapter 9 358 10 Control Systems and Signal Processing 359 10.1 Introduction 359 10.2 Model Generation: State-Space and Transfer Function Representation 359 10.2.1 Introduction 359 10.2.2 State-Space Models: StateSpaceModel[] 360 10.2.3 Transfer Function Models: TransferFunctionModel[] 362 10.3 Model Connections Closed-Loop Systems and System Response: SystemsModelFeedbackConnect[] and SystemsModelSeriesConnect[] 363 10.4 Design Methods 369 10.4.1 Root Locus: RootLocusPlot[] 369 10.4.2 Bode Plot: BodePlot[] 371 10.4.3 Nichols Plot: NicholsPlot[] 372 10.5 Signal Processing 374 10.5.1 Filter Models: ButterworthFilterModel[], EllipticFilterModel[], ... 374 10.5.2 Windows: HammingWindow[], HannWindow[], ... 381 10.5.3 Spectrum Averaging 385 10.6 Aliasing 388 10.7 Functions Introduced in Chapter 10 390 Reference 391 11 Heat Transfer and Fluid Mechanics 393 11.1 Introduction 393 11.2 Conduction Heat Transfer 394 11.2.1 One-Dimensional Transient Heat Diffusion in Solids 394 11.2.2 Heat Transfer in Concentric Spheres: Ablation of a Tumor 398 11.2.3 Heat Flow Through Fins 401 11.3 Natural Convection Along Heated Plates 405 11.4 View Factor Between Two Parallel Rectangular Surfaces 408 11.5 Internal Viscous Flow 411 11.5.1 Laminar Flow in Horizontal Cylindrical Pipes 411 11.5.2 Flow in Three Reservoirs 412 11.6 External Flow 416 11.6.1 Pressure Coefficient of a Joukowski Airfoil 416 11.6.2 Surface Profile in Nonuniform Flow in Open Channels 419 References 423 Index 425.…”

“…An intermediate von Kármán-like theory is introduced to play a central interpolating role with a new parameter which switches between the adjacent regimes. …”

Tabla de Contenidos: “…3.5 Conditional pdf for Real-Valued Gaussian Random Variables -- 3.6 Conditional pdf in Additive Noise Model -- 3.7 Complex Gaussian Random Variables -- 3.7.1 Single Complex Gaussian Random Variable -- 3.7.2 Circular Complex Gaussian Random Variable -- 3.7.3 Multivariate Complex Gaussian Random Variables -- 3.8 Sum of Square of Gaussians: Chi-Square -- 3.9 Order Statistics for N rvs -- Chapter 4 Random Processes and Linear Systems -- 4.1 Moment Characterizations and Stationarity -- 4.2 Random Processes and Linear Systems -- 4.3 Complex-Valued Random Processes -- 4.4 Pole-Zero and Rational Spectra (Discrete-Time) -- 4.4.1 Stability of LTI Systems -- 4.4.2 Rational PSD -- 4.4.3 Paley-Wiener Theorem -- 4.5 Gaussian Random Process (Discrete-Time) -- 4.6 Measuring Moments in Stochastic Processes -- Appendix A: Transforms for Continuous-Time Signals -- Appendix B: Transforms for Discrete-Time Signals -- Chapter 5 Models and Applications -- 5.1 Linear Regression Model -- 5.2 Linear Filtering Model -- 5.2.1 Block-Wise Circular Convolution -- 5.2.2 Discrete Fourier Transform and Circular Convolution Matrixes -- 5.2.3 Identification and Deconvolution -- 5.3 MIMO systems and Interference Models -- 5.3.1 DSL System -- 5.3.2 MIMO in Wireless Communication -- 5.4 Sinusoidal Signal -- 5.5 Irregular Sampling and Interpolation -- 5.5.1 Sampling With Jitter -- 5.6 Wavefield Sensing System -- Chapter 6 Estimation Theory -- 6.1 Historical Notes -- 6.2 Non-Bayesian vs. …”

Tabla de Contenidos: “…13.1.4 Soliloquy -- 13.1.5 Initial Interview -- 13.1.6 Scene Setting -- 13.1.7 Self-Presentation -- 13.1.8 Spontaneous Improvisation -- 13.1.9 Sculpting -- 13.1.10 Resistance Interpolation -- 13.1.11 Games -- 13.1.12 Intermediate Objects -- 13.1.13 Role Training -- 13.1.14 The Empty Chair and Multiple Empty Chairs -- 13.2 Psychodrama Interventions Adapted for Teletherapy -- 13.3 Psychodrama Scenes -- 13.3.1 The Psychodramatic Spiral -- 13.3.2 Hollander Curve -- 13.4 Closure, De-roling, and Striking the Set -- 13.5 Sharing in Psychodrama -- 13.6 Conclusions -- References -- 14 Advanced Psychodrama Directing -- 14.1 Sociometry Within a Psychodrama -- 14.2 Advanced Directing of the Audience -- 14.3 Moments of Multiple Protagonists -- 14.4 Clinical Role Assignments and Advanced Auxiliary Directing -- 14.4.1 Projective Identification -- 14.4.2 Prescribing Roles -- 14.5 Trauma-Based Role Considerations for Safety -- 14.6 De-Roling Difficult Roles -- 14.7 Conclusion -- References -- 15 Other Experiential Approaches Similar to Psychodrama -- 15.1 Sociodrama -- 15.2 Social Microscopy and Sociatry -- 15.3 Other Morenean or Psychodrama Approaches -- 15.3.1 Axiodrama -- 15.3.2 Monodrama -- 15.3.3 Autodrama -- 15.3.4 Ethnodrama -- 15.3.5 Bibliodrama -- 15.4 Teledrama and Telemedicine -- 15.5 Other Approaches Similar to Psychodrama -- 15.5.1 Drama Therapy -- 15.5.2 Playback Theater -- 15.5.3 Theater of the Oppressed -- 15.5.4 Gestalt Therapy -- 15.5.5 Internal Family Systems -- 15.5.6 Pesso Boyden System Psychomotor Therapy -- 15.5.7 Family Constellations and Systemic Constellations -- 15.6 Conclusion -- References -- Part VSociometry and Psychodrama in Individual Social Work Practice -- 16 Sociometric Assessment and Written Psychodramatic Interventions in Individual Social Work Practice -- 16.1 The Social Atom -- 16.2 The Role Atom -- 16.3 Timeline Assessments…”

Tabla de Contenidos: “…-- 16.2 The Great Divide: Language versus Statistics -- 16.3 Example: Sentiment Analysis on Stock Market Articles -- 16.4 Software and Datasets -- 16.5 Tokenization -- 16.6 Central Concept: Bag-of-Words -- 16.7 Word Weighting: TF-IDF -- 16.8 n-Grams -- 16.9 Stop Words -- 16.10 Lemmatization and Stemming -- 16.11 Synonyms -- 16.12 Part of Speech Tagging -- 16.13 Common Problems -- 16.14 Advanced NLP: Syntax Trees, Knowledge, and Understanding -- 16.15 Further Reading -- 16.16 Glossary -- Chapter 17 Time Series Analysis -- 17.1 Example: Predicting Wikipedia Page Views -- 17.2 A Typical Workflow -- 17.3 Time Series versus Time-Stamped Events -- 17.4 Resampling an Interpolation…”

Tabla de Contenidos: “…9.3.4 Analog-to-digital converter to field-programmable gate array interface -- 9.4 Algorithms used in evaluation of reconfigurable ultrasonic smart sensor platform -- 9.4.1 Coherent averaging -- 9.4.2 Split-spectrum processing -- 9.4.3 Chirplet signal decomposition -- 9.5 Hardware realization of ultrasonic imaging algorithms using reconfigurable ultrasonic smart sensor platform -- 9.5.1 Averaging implementation -- 9.5.2 Split-spectrum processing implementation -- 9.5.3 Chirplet signal decomposition implementation -- 9.5.4 Resource usage and timing constraints -- 9.6 Future trends -- 9.7 Conclusion -- 9.8 Sources of further information and advice -- References -- 10 - Advanced optical incremental sensors: encoders and interferometers -- 10.1 Introduction -- 10.2 Displacement interferometers -- 10.2.1 Basics of displacement interferometry -- 10.2.1.1 Homodyne interferometers (detection) -- 10.2.1.2 Heterodyne interferometers (detection) -- 10.2.1.3 Signals -- 10.2.2 Interferometer concepts -- 10.2.2.1 Linear interferometer -- 10.2.2.2 Plane mirror interferometer -- 10.2.3 Phase detection and interpolation -- 10.3 Sources of error and compensation methods -- 10.3.1 Setup dependent error sources -- 10.3.1.1 Cosine error -- 10.3.1.2 Abbe error -- 10.3.1.3 Dead path error -- 10.3.1.4 Target uniformity -- 10.3.1.5 Mechanical stability -- 10.3.2 Instrument dependent error sources -- 10.3.2.1 (Split) frequency -- 10.3.2.2 Beam walk-off -- 10.3.2.3 Electronics and data age -- 10.3.2.4 Periodic deviation -- 10.3.3 Environment dependent error sources -- 10.3.3.1 Thermal effects on the interferometer -- 10.3.3.2 Refractive index of air -- 10.4 Optical encoders -- 10.4.1 Imaging incremental encoder -- 10.4.2 Interferential encoders -- 10.4.2.1 Diffraction physics -- 10.4.2.2 Sensitivities -- 10.4.2.3 Schematic setups -- 10.4.2.4 Phase detection…”