Tabla de Contenidos: “…Acoustical Summation; Acoustical Source Direction; Summation Math; Summation Amplitude; Summation Phase; Response Ripple; Summation Zones; Comb Filtering: Linear vs. Log; Summation Geometry; Acoustical Crossovers; Acoustic Crossover Defined; Crossover Classes; Spectral Dividers and Spectral Crossovers…”

Tabla de Contenidos: “…Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Exploring Machine Learning -- Exploring Supervised Methods -- Exploring Nonlinear Models -- Exploring Ensemble Methods -- Exploring Unsupervised Methods -- Exploring Cluster Methods -- Exploring Dimension Reduction -- Exploring Deep Learning -- Conclusion -- Chapter 2: Big Data, Machine Learning, and Deep Learning Frameworks -- Big Data -- Big Data Features -- Impact of Big Data on Business and People -- Better Customer Relationships -- Refined Product Development -- Improved Decision-Making -- Big Data Warehousing -- Big Data ETL -- Big Data Frameworks -- Apache Spark -- Resilient Distributed Data Sets -- Spark Configuration -- Spark Frameworks -- SparkSQL -- Spark Streaming -- Spark MLlib -- GraphX -- ML Frameworks -- Scikit-Learn -- H2O -- XGBoost -- DL Frameworks -- Keras -- Chapter 3: Linear Modeling with Scikit-Learn, PySpark, and H2O -- Exploring the Ordinary Least-Squares Method -- Scikit-Learn in Action -- PySpark in Action -- H2O in Action -- Conclusion -- Chapter 4: Survival Analysis with PySpark and Lifelines -- Exploring Survival Analysis -- Exploring Cox Proportional Hazards Method -- Lifeline in Action -- Exploring the Accelerated Failure Time Method -- PySpark in Action -- Conclusion -- Chapter 5: Nonlinear Modeling With Scikit-Learn, PySpark, and H2O -- Exploring the Logistic Regression Method -- Scikit-Learn in Action -- PySpark in Action -- H2O in Action -- Conclusion -- Chapter 6: Tree Modeling and Gradient Boosting with Scikit-Learn, XGBoost, PySpark, and H2O -- Decision Trees -- Preprocessing Features -- Scikit-Learn in Action -- Gradient Boosting -- XGBoost in Action -- PySpark in Action -- H2O in Action -- Conclusion -- Chapter 7: Neural Networks with Scikit-Learn, Keras, and H2O…”

Tabla de Contenidos: “…Voltage amplifiers and controls; Preamplifier stages; Linearity; Noise levels; Output voltage characteristics; Voltage amplifier design; Constant-current sources and 'current mirrors'; Performance standards; Audibility of distortion; General design considerations; Controls; Chapter 5. …”

Tabla de Contenidos: “…Effect of Group-Velocity DispersionSemianalytic Techniques; Moment Method; Variational Method; Specific Analytic Solutions; Higher-Order Nonlinear Effects; Self-Steepening; Higher-Order Nonlinear Effects; Effect of GVD on Optical Shocks; Higher-Order Nonlinear Effects; Intrapulse Raman Scattering; Higher-Order Nonlinear Effects; Problems; References; Chapter 5 - Optical Solitons; Modulation Instability; Linear Stability Analysis; Gain Spectrum; Modulation Instability; Experimental Results; Modulation Instability; Ultrashort Pulse Generation; Modulation Instability; Impact on Lightwave Systems…”

Tabla de Contenidos: “…Introduction to Discrete Dislocations Statics and Dynamics8.1 Basics of Discrete Plasticity Models; 8.2 Linear Elasticity Theory for Plasticity; 8.3 Dislocation Statics; 8.4 Dislocation Dynamics; 8.5 Kinematics of Discrete Dislocation Dynamics; 8.6 Dislocation Reactions and Annihilation; Chapter 9. …”

Tabla de Contenidos: “…Output Delay Systems Tracking Using System Centre Approach and Sliding Mode Control; Chapter 26. State-Linearization of Positive Nonlinear Systems: Applications to Lotka-Volterra Controlled Dynamics; Chapter 27. …”

Tabla de Contenidos: “…Basic Descriptive StatisticsCombining Groups (Classes) for Predictive Data Mining; Generalized Linear Models (GLMs); Data Miner Workspace Templates; Comparison of Models with and Without Time-Based Features; Example: The IDP Facility of STATISTICA Data Miner; Ensembles in General; Part 2: The Algorithms in Data Mining and Text Mining, the Organization of the Three most common Data Mining Tools, and Selected Speci...; Chapter 7: Basic Algorithms for Data Mining: A Brief Overview; Preamble; STATISTICA Data Miner Recipe (DMRecipe); Automated Neural Nets; Generalized Additive Models (GAMs)…”

Tabla de Contenidos: “…Rate of Growth of FunctionsAnalysis in the Best, Average, and Worst Cases; Worst-Case; Average-Case; Best-Case; Performance Families; Discussion 0: Constant Behavior; Discussion 1: Log n Behavior; Discussion 2: Sublinear O(nd) Behavior for d<1; Discussion 3: Linear Performance; Discussion 4: n log n Performance; Discussion 5a: Quadratic Performance; Discussion 5b: Less Obvious Performance Computations; Mix of Operations; Benchmark Operations; One Final Point; References; Patterns and Domains; Patterns: A Communication Language; The Form of an Algorithm Pattern; Algorithm Pattern Format…”

Tabla de Contenidos: “…Front Cover; Dedication; Understanding Automotive Electronics: An Engineering Perspective; Copyright; Contents; Preface; Introduction; Chapter 1 - The Systems Approach to Control and Instrumentation; Overview; Concept of a System; Linear System Theory: Continuous Time; Steady-State Sinusoidal Frequency Response of a System; State Variable Formulation of Models; Control Theory; Stability of Control System; Closed-Loop Limit-Cycle Control; Instrumentation; Basic Measurement System; Filtering; Chapter 2 - Discrete Time Systems Theory; Digital Subsystem; Sinusoidal Frequency Response…”

Tabla de Contenidos: “…Chapter 7 Power SuppliesThe Diode; Half-Wave Rectification; Full-Wave Rectification; The Linear Power Supply; Switched-Mode Power Supplies; Power Supplies for Arc Lamps; The Magnetic Ballast Power Supply; Electronic Switching Power Supply for Gas Discharge Lamps; Advantages of Magnetic Ballast Power Supplies; Disadvantages of Magnetic Ballast Power Supplies; Advantages of Electronic Switching Power Supplies; Disadvantages of Electronic Switching Power Supplies; Chapter 8 Overcurrent and Overvoltage Protection; Fuses; Circuit Breakers; Metal Oxide Varistor; Chapter 9 Digital Electronics…”

Tabla de Contenidos:

Tabla de Contenidos: “…4 Inverse simulation for system modelling and design4.1 An introduction to inverse modelling and inverse simulation; 4.2 Methods of inverse simulation; 4.3 Example: inverse simulation applied to a linear model; 4.4 Case study: an application involving a nonlinear unmanned underwater vehicle (UUV) system model; 4.5 Discussion; 4.6 References; 5 Methods and applications of parameter sensitivity analysis; 5.1 Fundamental concepts of parameter sensitivity analysis; 5.2 The sensitivity function; 5.3 Methods of sensitivity analysis involving repeated solutions…”

Tabla de Contenidos: “…4Signal processing for tool condition monitoring: from wavelet analysis to sparse decomposition4.1 Overview of tool condition monitoring and signal processing issues; 4.2 Signal space, linear system and Fourier transform; 4.3 Wavelet analysis; 4.4 Sparse coding; 4.5 Applications; 4.6 Conclusions; 4.7 References; 5ANN modelling of fractal dimension in machining; 5.1 Introduction; 5.2 Basic considerations; 5.3 CNC end milling; 5.4 CNC turning; 5.5 Cylindrical grinding; 5.6 Electrical discharge machining; 5.7 Conclusion; 5.8 References…”

Tabla de Contenidos: “…2.8 Normal Subgroups2.9 Factor Groups; 2.10 The Isomorphism Theorem; 2.11 An Application to Binary Linear Codes; Chapter 3: Rings; 3.1 Examples and Basic Properties; 3.2 Integral Domains and Fields; 3.2 Exercises; 3.3 Ideals and Factor Rings; 3.4 Homomorphisms; 3.5 Ordered Integral Domains; Chapter 4: Polynomials; 4.1 Polynomials; 4.2 Factorization of Polynomials over a Field; 4.3 Factor Rings of Polynomials over a Field; 4.4 Partial Fractions; 4.5 Symmetric Polynomials; 4.6 Formal Construction of Polynomials; Chapter 5: Factorization in Integral Domains…”

Tabla de Contenidos: “…, Danger; David LeeSV Angel: Twitter, Foursquare, Flipboard, Dropbox, AirBnB; Ted AlexanderMission Ventures: MaxLinear, RockeTalk, Enevate; Robert KibbleMission Ventures: Greenplum, Shopzilla, Sandpiper Networks; Rajiv LaroiaFlarion Technologies…”

Tabla de Contenidos: “…The Buckling of Thin Cylindrical Shells under Axial CompressionStresses in the Median Surface and the expression for the Total Energy of the System; Calculation of the Total Energy; Relation Between the compression Stress and the Amplitude of Waves; The Relation Between the Compression Stress and the Shortening of the Shell in the Axial Direction; The Effect of the Elastic Characteristic of the testing Machine on the Buckling Phenomenon; Conclusions; References; Buckling of a Column with Non-Linear Lateral Supports; Introduction; General Theory for Straight Column…”

Tabla de Contenidos: “…; The Anatomy of a Windows Phone Application; Developing with Silverlight Controls; Common Control Properties; Layout Controls; Programming with Silverlight; Interactive Controls; Summary; Chapter 3: Spice up Your App with Shapes, Colors, Brushes, and Transforms; Working with Shapes; The Ellipse Control; The Rectangle Control; The Line Control; The Polygon Control; The Polyline Control; Working with Colors; Using Brushes; The SolidColorBrush Object; The LinearGradientBrush Object; The RadialGradientBrush Object; The ImageBrush Object; Applying Transforms…”

Tabla de Contenidos: “…4.8 Thermal biosensors4.9 Concluding remarks; Glossary of biological terms; List of symbols; References; Chapter 5 Nanomorphic cell communication unit; 5.1 Introduction; 5.2 Electromagnetic radiation; 5.3 Basic RF communication system; 5.4 EM Transducer: A linear antenna; 5.5 Free-space single-photon limit for energy in EM communication; 5.6 Thermal noise limit on communication spectrum; 5.7 The THz communication option (? …”

Tabla de Contenidos: “…Node Parallelism for Graph Centrality Metrics 3 Optimizing parallel prefix operations for the Fermi architecture 4 Building an Efficient Hash Table on the GPU 5 An Efficient CUDA Algorithm for the Maximum Network Flow Problem 6 On Improved Memory Access Patterns for Cellular Automata Using CUDA 7 Fast Minimum Spanning Tree Computation on Large Graphs 8 Fast in-place sorting with CUDA based on bitonic sort Part 2: Numerical Algorithms - Frank Jargstorff, NVIDIA 9 Interval Arithmetic in CUDA 10 Approximating the erfinv Function 11 A Hybrid Method for Solving Tridiagonal Systems on the GPU 12 LU Decomposition in CULA 13 GPU Accelerated Derivative-free Optimization Part 3: Engineering Simulation - Peng Wang, NVIDIA 14 Large-scale gas turbine simulations on GPU clusters 15 GPU acceleration of rarefied gas dynamic simulations 16 Assembly of Finite Element Methods on Graphics Processors 17 CUDA implementation of Vertex-Centered, Finite Volume CFD methods on Unstructured Grids with Flow Control Applications 18 Solving Wave Equations on Unstructured Geometries 19 Fast electromagnetic integral equation solvers on graphics processing units (GPUs) Part 4: Interactive Physics for Games and Engineering Simulation - Richard Tonge, NVIDIA 20 Solving Large Multi-Body Dynamics Problems on the GPU 21 Implicit FEM Solver in CUDA 22 Real-time Adaptive GPU multi-agent path planning Part 5: Computational Finance - Thomas Bradley, NVIDIA 23 High performance finite difference PDE solvers on GPUs for financial option pricing 24 Identifying and Mitigating Credit Risk using Large-scale Economic Capital Simulations 25 Financial Market Value-at-Risk Estimation using the Monte Carlo Method Part 6: Programming Tools and Techniques - Cliff Wooley, NVIDIA 26 Thrust: A Productivity-Oriented Library for CUDA 27 GPU Scripting and Code Generation with PyCUDA 28 Jacket: GPU Powered MATLAB Acceleration 29 Accelerating Development and Execution Speed with Just In Time GPU Code Generation 30 GPU Application Development, Debugging, and Performance Tuning with GPU Ocelot 31 Abstraction for AoS and SoA Layout in C++ 32 Processing Device Arrays with C++ Metaprogramming 33 GPU Metaprogramming: A Case Study in Biologically-Inspired Machine Vision 34 A Hybridization Methodology for High-Performance Linear Algebra Software for GPUs 35 Dynamic Load Balancing using Work-Stealing 36 Applying software-managed caching and CPU/GPU task scheduling for accelerating dynamic workloads…”

Tabla de Contenidos: “…; Further Diagnosis; Wrestling with Material; When Poisons Are Medicines, Accidents Are Intentions; Chapter 4. The Instruments; Linear and Nonlinear Editing Systems; In Praise of the Physical Body; An Editor's Tools; Medieval Medicine: The Moviola…”