“…In addition, it supplies retrieval algorithms using MATLAB, worked examples of derived products, and polar atmosphere cases. -- Preface Remote sensing by using microwave has become an important diagnostic tool for probing the atmosphere and surface of planetary objects. …”

Tabla de Contenidos: “…Appendices; 9.1 Appendix 1: Homogeneous co-ordinate system; 9.2 Appendix 2: Least squares analysis; 9.3 Appendix 3: Example Mathcad worksheet for Chapter 3; 9.4 Appendix 4: Abbreviated Matlab worksheet; Index…”

Tabla de Contenidos: “…; Applications; Limitations of Octave; Octave and MATLAB; The Octave community; Installing Octave; Windows; GNU/Linux; Building Octave from the source under GNU/Linux; Time for action - building Octave from source; Checking your installation with peaks; Time for action - testing with peaks; Customizing Octave; Time for action - creating an Octave home directory under Windows.; Creating your first .octaverc file…”

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: “…Worm detection research based on biological immune principle and FCM algorithmFusion of multifocus based on NSCT and NMF; System design of detection device for special cigarette filter; The ant colony optimal algorithm based on neighborhood search to solve the traveling salesman problem; Design and implementation of FORTRAN to C Translator based on Perl scripts; Application of computer simulation technique in field waterflood system; The thinking of the introduction of computer technology course; Discussion on the method of MatlabWeb application development…”

Tabla de Contenidos: “…3.6.3 IEC 61850-7-420 Standard Microgrid Network -- 3.7 Considerations for Designing of Protection Schemes -- 3.8 Conclusion -- References -- Chapter 4 Application of Active Power Filter in the Hybrid Power System to Regulate the Grid Voltage -- 4.1 Introduction -- 4.2 System Topology Description -- 4.2.1 Solar Photovoltaic System -- 4.2.1.1 SPV Modeling -- 4.2.1.2 Maximum Power Point Tracking -- 4.2.1.3 Boost Converter -- 4.2.2 Wind Energy System -- 4.2.3 Modeling of Battery -- 4.2.4 Buck-Boost Converter -- 4.3 Series Active Power Filter Design -- 4.4 Simulation Results -- 4.4.1 Analysis Under Case 1 -- 4.4.2 Analysis Under Case 2 -- 4.5 Conclusion -- References -- Chapter 5 Dynamic Modeling of Drone Control with MATLAB Simulation -- 5.1 Introduction -- 5.2 Tool Description -- 5.3 Methodology -- 5.4 Overview of the Drone Control System -- 5.5 Overview of the Drone Control System in MATLAB Simulink -- 5.5.1 Flight Command -- 5.5.2 Flight Control System -- 5.5.3 Simulation Model -- 5.5.4 Flight Visualization -- 5.5.5 Result and Discussion -- 5.5.6 Varying the Values of Thrust Parameter of the Drone Flight Control -- 5.5.7 Varying the Values of Pitch Parameter of the Drone Flight Control -- 5.5.8 Varying the Values of Roll Parameter of the Drone Flight Control -- 5.5.9 Varying the Values of Yaw Parameter of the Drone Flight Control -- 5.5.10 Varying the Values of Thrust, Pitch, Roll, and Yaw Parameter of the Drone Flight Control -- 5.6 Applications -- 5.7 Conclusion -- References -- Chapter 6 Development of New Bioinspired Hybrid Algorithms for Parameter Modeling of Photovoltaic Panels -- 6.1 Introduction -- 6.2 Problem Statement -- 6.3 Proposed Bioinspired Techniques and Methodology -- 6.4 Simulation Results and Discussions -- 6.5 Conclusions -- References -- Chapter 7 Power Quality Improvement by Using PV-Integrated DSTATCOM -- 7.1 Introduction…”

Tabla de Contenidos: “…Different Types of Calculations -- Order of Processing Steps -- Quick Table Calculations -- Setting Up a Quick Table Calculation -- Duplicate as Crosstab -- Editing Table Calculations -- Customized Table Calculations -- Bump Charts -- Dual Axis Charts -- Adjustable Moving Average -- Level of Detail Expressions -- Keywords and Syntax -- Cohort Analysis -- Regional Averages -- Higher-Level Regions -- Chapter 6 Maps -- Symbol Maps -- Filled Maps -- Density Maps -- Map Layers -- Maps with Pie Charts -- Creating a Pie Chart Map -- Adding a Filter -- Dual Axis Map -- Viz in Tooltip -- Step 1: Create the Second Chart -- Step 2: Embedding the Chart in Tooltips -- Reflection: The Anatomy of a Tableau Map -- Alternative Map Services -- Mapbox Maps -- Mapbox Account and Token -- Mapbox in Tableau -- Using the Background Map -- Spatial Data -- Undersea Communication Cables -- Open Data -- Chapter 7 Advanced Analytics: Trends, Forecasts, Clusters, and other Statistical Tools -- Overview of the Tableau Analytics Pane -- Constant, Average, and Reference Lines -- Trend Lines -- Adding Trend Lines -- Trend Line Options -- Line and Trend Model Description -- Forecasts -- Adding a Forecast Line to the View -- Forecast Settings -- Model Description -- Cluster Analysis -- Clustering in Tableau -- Saving and Working with Clustering Results -- Python, R, and MATLAB Integration -- Getting Started with Python and TabPy -- Connecting Tableau with TabPy -- Python Scripts in Calculated Fields -- Trellis Chart with Python Script -- R Integration -- Security -- Example: Local Regression with R -- MATLAB Integration -- Chapter 8 Interactive Dashboards -- Preliminary Considerations -- Creating a New Dashboard -- The Dashboard Pane -- Placing Charts on the Dashboard -- Dashboard Titles -- Navigation Buttons -- Dashboard Actions -- Filter Actions…”

Tabla de Contenidos: “…Cover -- Title -- Copyright -- Contents -- Preface -- Acknowledgments -- 1 Introduction -- 1.1 Engineering Problems -- 1.2 Numerical Methods -- 1.3 A Brief History of the Finite Element Method and Ansys -- 1.4 Basic Steps in the Finite Element Method -- 1.5 Direct Formulation -- 1.6 Minimum Total Potential Energy Formulation -- 1.7 Weighted Residual Formulations -- 1.8 Verification of Results -- 1.9 Understanding the Problem -- Summary -- References -- Problems -- 2 Matrix Algebra -- 2.1 Basic Definitions -- 2.2 Matrix Addition or Subtraction -- 2.3 Matrix Multiplication -- 2.4 Partitioning of a Matrix -- 2.5 Transpose of a Matrix -- 2.6 Determinant of a Matrix -- 2.7 Solutions of Simultaneous Linear Equations -- 2.8 Inverse of a Matrix -- 2.9 Eigenvalues and Eigenvectors -- 2.10 Using Matlab to Manipulate Matrices -- 2.11 Using Excel to Manipulate Matrices -- Summary -- References -- Problems -- 3 Trusses -- 3.1 Definition of a Truss -- 3.2 Finite Element Formulation -- 3.3 Space Trusses -- 3.4 Overview of the Ansys Program -- 3.5 Examples Using Ansys -- 3.6 Verification of Results -- Summary -- References -- Problems -- 4 Axial Members, Beams, and Frames -- 4.1 Members Under Axial Loading -- 4.2 Beams -- 4.3 Finite Element Formulation of Beams -- 4.4 Finite Element Formulation of Frames -- 4.5 Three-Dimensional Beam Element -- 4.6 An Example Using Ansys -- 4.7 Verification of Results -- Summary -- References -- Problems -- 5 One-Dimensional Elements -- 5.1 Linear Elements -- 5.2 Quadratic Elements -- 5.3 Cubic Elements -- 5.4 Global, Local, and Natural Coordinates -- 5.5 Isoparametric Elements -- 5.6 Numerical Integration: Gauss-Legendre Quadrature -- 5.7 Examples of One-Dimensional Elements in Ansys -- Summary -- References -- Problems -- 6 Analysis of One-Dimensional Problems -- 6.1 Heat Transfer Problems -- 6.2 A Fluid Mechanics Problem…”

“…Se desarrollaron herramientas de cálculo en el software MatLab® para la predicción de equilibrios sólido-líquido, vapor-líquido y sólido-líquido-vapor en condiciones que involucran mezclas de iones y/o de solventes. …”

“…Resources for students and instructors, including a MATLAB toolbox, are available online"-- "Vast amounts of data present amajor challenge to all thoseworking in computer science, and its many related fields, who need to process and extract value from such data. …”

Tabla de Contenidos: “…Conventional Business Analytics; Introduction to Big Data; Big Data Is Not Just About Size; Sources of Big Data; Big Data Use Cases; Big Data in Retail; Big Data Use Cases in Financial Industry; Introduction to Data Analysis Tools; Commonly Used Data Analysis Software; SAS; SPSS; R; MATLAB; RapidMiner; Weka…”

Tabla de Contenidos: “…13.2.1 Explanation -- 13.2.2 Explanation -- 13.3 Discussion -- 13.4 Conclusion -- References -- Chapter 14 ▪ Monitoring Static Security Assessment in Its Full Scope Using Common Artificial Neural Network -- 14.1 Introduction -- 14.2 Ann Development and Application to Test-Bus-Network -- 14.3 Results and Discussion -- 14.4 Conclusion -- Acknowledgment -- References -- Chapter 15 ▪ Modelling of Solar Cell Considering One Diode Model in MATLAB/Simulink Environment -- 15.1 Introduction -- 15.2 Modelling of Solar Cell -- 15.3 Simulation Model of A Solar Cell -- 15.4 Results and Discussion -- 15.5 Conclusion -- References -- Chapter 16 ▪ Modelling of Intelligent Cooling of a Building in MATLAB/Simulink Environment -- 16.1 Introduction -- 16.2 Thermal Modelling of a House Requiring Cooling Load -- 16.2.1 Thermostat subsystem -- 16.2.2 Chiller subsystem -- 16.2.3 House subsystem -- 16.2.4 Environment subsystem -- 16.3 Simulation Model of a House Requiring Cooling Load -- 16.4 Results and Discussion -- 16.5 Conclusion -- References -- Chapter 17 ▪ Control and Monitor of Non-linear Gas Flow by Developing a Self-Adaptive Fuzzy Controller -- 17.1 Introduction -- 17.2 Methodology -- 17.2.1 Mathematical Modelling of the System -- 17.2.1.1 Modelling of Control Valve -- 17.2.1.2 Modelling of Gas Sensor -- 17.2.1.3 Modelling of Process -- 17.2.1.4 Overall Representation -- 17.2.2 Controller Design -- 17.3 Results and Comparative Study -- 17.4 Conclusion -- References -- Chapter 18 ▪ Transient Stability Controlling and Assessment of a Congested Power System in a Deregulated Environment -- 18.1 Introduction -- 18.2 Eigen Value Analysis -- 18.3 Study of The Ieee 14 Bus Test Model -- 18.4 Congestion Study In The Ieee14 Bus Test System -- 18.5 Resut and Discussion -- 18.5.1 Analysis without using Facts Devices -- 18.5.2 Analysis with using Statcom Model…”

Tabla de Contenidos: “…General -- Use of computers by chemical engineers -- Implications of modern design tools -- Categories of design -- Unit operation sizing and selection -- Hydraulic design -- Mass balance -- Energy balance -- Tools-Hardware -- Mobile devices -- Handheld calculators -- Graphical calculators -- Tools-Software -- Spreadsheets -- MS Excel -- Microsoft Visual Basic -- Other numerical analysis software -- MathWorks MATLAB -- PTC Mathcad -- Simulation programs -- Aspentech Hysys, etc. -- Invensys SimSci Pro/II -- Chemstations CHEMCAD -- COMSOL Multiphysics, etc. -- Other -- Project management/programming tools -- Microsoft Project -- Microsoft Excel -- AMS Realtime -- Oracle Primavera -- Computer-Aided Design (CAD): drawing/drafting -- Autodesk AutoCAD/Inventor, etc. -- Bentley Systems Microstation -- PTC Creo -- Computer-Aided Design (CAD): process design -- Bentley Systems Axsys.Process/PlantWise -- Computer-Aided Design (CAD): hydraulic design -- COMSOL Multiphysics -- Matlab/Simulink -- Autodesk® Simulation CFD -- Other -- Microsoft Visio -- Microsoft Access -- Further Reading -- 5 The Future of Process Plant Design -- Process porn -- Will first principles design replace heuristic design in future? …”

“…It helps you to conceptualize the underlying theory from first principles, building up your knowledge gradually using practical demonstrations and worked examples. A full range of MATLAB simulations is used to visualize concepts and solve problems, allowing you to see what happens to signals and systems with different configurations. …”

“…Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization. …”

“…Featuring extensive updates to all existing chapters, Advanced Digital Optical Communications, Second Edition : Contains new chapters on optical fiber structures and propagation, optical coherent receivers, DSP equalizer algorithms, and high-order spectral DSP receivers Examines theoretical foundations, practical case studies, and MATLAB® and Simulink® models for simulation transmissions Includes new end-of-chapter practice problems and useful appendices to supplement technical information Downloadable content available with qualifying course adoption Advanced Digital Optical Communications, Second Edition supplies a fundamental understanding of digital communication applications in optical communication technologies, emphasizing operation principles versus heavy mathematical analysis. …”

Tabla de Contenidos: “…7.4 PAPR of Multiple Antenna Transmission Signals / -- 7.5 Peak Power Reduction by Symbol Amplitude Clipping / -- 7.6 Summary / -- References -- 8 Simulation of a SC-FDMA System Using Matlab(R) / -- 8.1 Introduction / -- 8.2 Link Level Simulation of SC/FDE / -- 8.3 Link Level Simulation of SC-FDMA / -- 8.4 Peak-to-Average Power Ratio Simulation of SC-FDMA / -- 8.5 Summary / -- References / -- Appendix - Simulation Codes -- Appendix A - Derivation of Time Domain Symbols of Localized FDMA and Distributed FDMA / -- A.1 Time Domain Symbols of LFDMA / -- A.2 Time Domain Symbols of DFDMA -- Appendix B - Derivations of the Upper Bounds in Chapter 7 / -- B.1 Derivation of Equations (9) and (10) in Chapter 7 / -- B.2 Derivations of Equations (13) and (14) in Chapter 7 -- Appendix C - Deciphering the 3GPP LTE Specifications -- Appendix D - Abbreviations -- Index…”

Tabla de Contenidos: “…Graphical Optimization; 3.1 Graphical Solution Process; 3.2 Use of Mathematica for Graphical Optimization; 3.3 Use of MATLAB for Graphical Optimization; 3.4 Design Problem with Multiple Solutions; 3.5 Problem with Unbounded Solution; 3.6 Infeasible Problem; 3.7 Graphical Solution for Minimum Weight Tubular Column; 3.8 Graphical Solution for a Beam Design Problem; Exercises for Chapter 3…”

Tabla de Contenidos: “…Data Exploration -- Computing statistics -- Overview of visualizations -- Visual guide for the views -- Distance matrix -- Using visual properties -- Color -- Size -- Shape -- KNIME views -- HiLite -- Use cases for HiLite -- Row IDs -- Extreme values -- Basic KNIME views -- The Box plots -- Hierarchical clustering -- Histograms -- Interactive Table -- The Lift chart -- Lines -- Pie charts -- The Scatter plots -- Spark Line Appender -- Radar Plot Appender -- The Scorer views -- JFreeChart -- The Bar charts -- The Bubble chart -- Heatmap -- The Histogram chart -- The Interval chart -- The Line chart -- The Pie chart -- The Scatter plot -- Open Street Map -- 3D Scatterplot -- Other visualization nodes -- The R plot, Python plot, and Matlab plot -- The official R plots -- The RapidMiner view -- The HiTS visualization -- Tips for HiLiting -- Using Interactive HiLite Collector -- Finding connections -- Visualizing models -- Further ideas -- Summary -- 4. …”

Tabla de Contenidos: “…; 1.2 Features, Feature Vectors, and Classifiers; 1.3 Supervised, Unsupervised, and Semi-Supervised Learning; 1.4 MATLAB Programs; 1.5 Outline of The Book; Chapter 2 Classifiers Based on Bayes Decision Theory; 2.1 Introduction; 2.2 Bayes Decision Theory; 2.3 Discriminant Functions and Decision Surfaces; 2.4 Bayesian Classification for Normal Distributions; 2.5 Estimation of Unknown Probability Density Functions; 2.6 The Nearest Neighbor Rule; 2.7 Bayesian Networks…”