“…Through each pillar, Kanungo illustrates smart takeaways with the eye-opening strategies of some the world's greatest disruptors and most unlikely "change agents"--The first female pharaoh to the rapper Cardi B. Far from being one-in-a-million David-and-Goliath triumphs, Kanungo puts these individual stories together to create a map, showing you how you can replicate their tactics and emulate their strategies to create your own path forward…”

Tabla de Contenidos: “….) -- TABLA 3.1 DATOS BOMBA (B) TABLA 3.2 DATOS (...) -- TABLA 3.3 DATOS DE LA BOMBA COMO TURBINA -- TABLA 3.4 DATOS DEL MOTOR ASÍNCRONO EN (...) -- TABLA 3.5 CONDICIONES DE ARRANQUE DEL SGEH -- TABLA 3.6 VARIABLES Y UNIDADES BÁSICAS (...)…”

Tabla de Contenidos: “…9.10.4.1 Decreasing Impact on the Grid -- 9.10.4.2 Decreasing the Impact on the Switches -- 9.10.5 Bidirectional Battery Chargers -- 9.10.6 Other Charger Topologies -- 9.10.7 Contactless Charging -- 9.10.8 Wireless Charging -- 9.11 Modeling and Simulation of HEV Power Electronics -- 9.11.1 Device-Level Simulation -- 9.11.2 System-Level Model -- 9.12 Emerging Power Electronics Devices -- 9.13 Circuit Packaging -- 9.14 Thermal Management of HEV Power Electronics -- 9.15 Conclusions -- References -- 10 Electric Machines and Drives in HEVs -- 10.1 Introduction -- 10.2 Induction Motor Drives -- 10.2.1 Principle of Induction Motors -- 10.2.2 Equivalent Circuit of Induction Motor -- 10.2.3 Speed Control of Induction Machine -- 10.2.4 Variable Frequency, Variable Voltage Control of Induction Motors -- 10.2.5 Efficiency and Losses of Induction Machine -- 10.2.6 Additional Loss in Induction Motors Due to PWM Supply -- 10.2.7 Field-Oriented Control of Induction Machine -- 10.3 Permanent Magnet Motor Drives -- 10.3.1 Basic Configuration of PM Motors -- 10.3.2 Basic Principle and Operation of PM Motors -- 10.3.3 Magnetic Circuit Analysis of IPM Motors -- 10.3.3.1 Unsaturated Motor -- 10.3.3.2 Saturated Motor -- 10.3.3.3 Operation Under Load -- 10.3.3.4 Flux Concentration -- 10.3.4 Sizing of Magnets in PM Motors -- 10.3.4.1 Input Power -- 10.3.4.2 Direct-Axis Armature Reaction Factor -- 10.3.4.3 Magnetic Usage Ratio and Flux Leakage Coefficient -- 10.3.4.4 Maximum Armature Current -- 10.3.4.5 Inner Power Angle -- 10.3.5 Eddy Current Losses in the Magnets of PM Machines -- 10.4 Switched Reluctance Motors -- 10.5 Doubly Salient Permanent Magnet Machines -- 10.6 Design and Sizing of Traction Motors -- 10.6.1 Selection of A and B -- 10.6.2 Speed Rating of the Traction Motor -- 10.6.3 Determination of the Inner Power…”

Tabla de Contenidos: “…2.32 Conclusions - predictions about storage systems -- 2.32.1 Resurgence in shared storage, but Fibre-Channel fades -- 3 Disk drive data placement and scheduling -- 3.1 The organization of Hard Disk Drives - HDDs -- 3.2 Internal organization of files in UNIX -- 3.3 Review of disk arm scheduling -- 3.3.1 Implementation of SATF -- 3.3.2 Disk performance studies by Windsor Hsu and Alan Jay Smith at IBM ARC -- 3.3.3 Linux support for disk scheduling -- 3.4 Disk scheduling for mixed workloads -- 3.5 Real time disk scheduling for multimedia -- 3.6 Storage virtualization -- 3.7 File placement on disk -- 3.7.1 Anticipatory disk arm placement -- 3.8 Disks with Shingled Magnetic Recording - SMR -- 3.9 Review of analyses of disk scheduling methods -- 3.10 Analytic studies of disk storage -- 3.11 Analysis of a zoned disk with the FCFS scheduling -- 3.11.1 Disk service time in zoned disks with FCFS scheduling -- 3.12 Performance analysis of the SCAN policy -- 3.13 Analysis of the SATF policy -- 3.13.1 Preliminary investigation of SATF -- 3.13.2 First method for the analysis of SATF -- 3.13.3 Second method for the analysis of SATF -- 3.14 Conclusions -- 4 Mirrored &amp -- hybrid arrays -- 4.1 Introduction to mirrored and hybrid disk arrays -- 4.2 Mirrored and hybrid disk array organizations -- 4.2.1 Basic Mirroring - BM -- 4.2.2 Group Rotate Declustering - GRD -- 4.2.3 Interleaved Declustering - ID -- 4.2.4 Chained Declustering - CD -- 4.2.5 Dual striping -- 4.2.6 Logical volume and automatic storage management and GPFS -- 4.2.7 LSI Logic RAID -- 4.2.8 Adaptive disk arrays -- 4.2.9 SSPiRAL (Survivable Storage using Parity in Redundant Array Layout) -- 4.2.10 B-code -- 4.2.11 Weaver codes -- 4.2.12 Robust, Efficient, Scalable, Autonomous, Reliable - RESAR -- 4.2.13 Multiway placement -- 4.2.14 Classification of mirrored and hybrid disk arrays…”

Tabla de Contenidos: “…Composantes de la croissance de la population totale dans quelques pays de l'OCDE et dans l'Union européenne, 1960-2001 -- B. Les immigrés et le marché du travail…”

Tabla de Contenidos: “…Tarifas de IRPF: ingresos laborales (panel A) e ingresos por actividades empresariales independientes (panel B) -- Costa Rica sufre también una importante elusión de impuestos en el ámbito de las profesiones liberales -- Figura 3.9. …”

Tabla de Contenidos: “…Salmelin -- 2.1 Introduction 3 -- 2.2 LTE Backhaul Planes 5 -- 2.2.1 3GPP Planes and Protocol Stacks 5 -- 2.2.2 Synchronization Plane 7 -- 2.2.3 Management Plane 9 -- 2.2.4 Active Monitoring Plane 9 -- 2.2.5 Security Control Plane 10 -- 2.2.6 Control and User Plane of Additional Proprietary Applications 10 -- 2.3 Radio Features of LTE and LTE‐A 11 -- 2.3.1 LTE 11 -- 2.3.2 LTE‐A 12 -- 2.4 R equirements for LTE Backhaul (SLAs) 17 -- 2.4.1 Capacity 17 -- 2.4.2 Latency and Loss 18 -- 2.4.3 QoS Capabilities 21 -- 2.4.4 Synchronization 21 -- 2.4.5 Availability 22 -- 2.4.6 Security 22 -- 2.4.7 Examples 23 -- 2.5 Transport Services 26 -- 2.6 Planning Problems 27 -- 2.7 LTE Backhaul Technologies 29 -- 2.7.1 Access 30 -- 2.7.2 Aggregation and Backbone Network 34 -- 2.8 Small Cell Backhaul 34 -- 2.9 Future Radio Features Affecting Backhaul 35 -- 2.9.1 Inter NodeB CoMP (eCoMP) 35 -- 2.9.2 Dual Connectivity 36 -- 2.9.3 Dynamic eICIC 38 -- 2.10 R elated Standards and Industry Forums 39 -- 2.10.1 3GPP 39 -- 2.10.2 ITU‐T SG15 40 -- 2.10.3 IEEE 802 40 -- 2.10.4 IETF 40 -- 2.10.5 MEF 40 -- 2.10.6 NGMN 41 -- 2.10.7 BBF 41 -- 2.10.8 SCF 41 -- 2.11 Operator Example 42 -- References 42 -- 3 Economic Modeling and Strategic Input for Lte Backhaul 45 / Gabriel Waller and Esa Markus Metsälä -- 3.1 Introduction 45 -- 3.1.1 Role of Backhaul Within Lte 46 -- 3.1.2 Why and What to Model 48 -- 3.2 Strategic Input for Planning 49 -- 3.2.1 Physical infrastructure 49 -- 3.2.2 Transmission media 50 -- 3.2.3 Capacity and interfaces 50 -- 3.2.4 Network technologies 51 -- 3.2.5 Network topology 51 -- 3.2.6 Make or buy 51 -- 3.2.7 Backhaul security aspects 52 -- 3.3 Quantifying benefits 53.…”

Tabla de Contenidos: “…8.2 Tropospheric Refraction and Delay -- 8.2.1 Zenith Delay Functions -- 8.2.2 Mapping Functions -- 8.2.3 Precipitable Water Vapor -- 8.3 Troposphere Absorption -- 8.3.1 The Radiative Transfer Equation -- 8.3.2 Absorption Line Profiles -- 8.3.3 General Statistical Retrieval -- 8.3.4 Calibration of WVR -- 8.4 Ionospheric Refraction -- 8.4.1 Index of Ionospheric Refraction -- 8.4.2 Ionospheric Function and Cycle Slips -- 8.4.3 Single-Layer Ionospheric Mapping Function -- 8.4.4 VTEC from Ground Observations -- 8.4.5 Global Ionospheric Maps -- 8.4.5.1 IGS GIMs -- 8.4.5.2 International Reference Ionosphere -- 8.4.5.3 GPS Broadcast Ionospheric Model -- 8.4.5.4 NeQuick Model -- 8.4.5.5 Transmission to the User -- Chapter 9 GNSS Receiver Antennas -- 9.1 Elements of Electromagnetic Fields and Electromagnetic Waves -- 9.1.1 Electromagnetic Field -- 9.1.2 Plane Electromagnetic Wave -- 9.1.3 Complex Notations and Plane Wave in Lossy Media -- 9.1.4 Radiation and Spherical Waves -- 9.1.5 Receiving Mode -- 9.1.6 Polarization of Electromagnetic Waves -- 9.1.7 The dB Scale -- 9.2 Antenna Pattern and Gain -- 9.2.1 Receiving GNSS Antenna Pattern and Reference Station and Rover Antennas -- 9.2.2 Directivity -- 9.2.3 Polarization Properties of the Receiving GNSS Antenna -- 9.2.4 Antenna Gain -- 9.2.5 Antenna Effective Area -- 9.3 Phase Center -- 9.3.1 Antenna Phase Pattern -- 9.3.2 Phase Center Offset and Variations -- 9.3.3 Antenna Calibrations -- 9.3.4 Group Delay Pattern -- 9.4 Diffraction and Multipath -- 9.4.1 Diffraction Phenomena -- 9.4.2 General Characterization of Carrier Phase Multipath -- 9.4.3 Specular Reflections -- 9.4.4 Antenna Down-Up Ratio -- 9.4.5 PCV and PCO Errors Due to Ground Multipath -- 9.5 Transmission Lines -- 9.5.1 Transmission Line Basics -- 9.5.2 Antenna Frequency Response -- 9.5.3 Cable Losses -- 9.6 Signal-to-Noise Ratio…”

Tabla de Contenidos: “…Cover -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Land Use and Land Cover Mapping of Remotely Sensed Data Using Fuzzy Set Theory-Related Algorithm -- 1.1 Introduction -- 1.1.1 Overview on Landsat 8 -- 1.2 Image Classification -- 1.3 Unsupervised Classification -- 1.4 Supervised Classification -- 1.5 Overview of Fuzzy Sets -- 1.5.1 Fuzzy C-Means Clustering -- 1.5.2 Algorithm of Fuzzy C-Means -- 1.6 Methodology -- 1.6.1 Modified Fuzzy C-Means Technique -- 1.6.2 Construction of a Fuzzy Inference System -- 1.6.3 K-Means Algorithm -- 1.7 Results and Discussion -- 1.7.1 FCM Technique Results -- 1.7.2 Modified FCM Technique Results -- 1.7.3 K-Means Technique Results -- 1.8 Conclusion -- References -- Chapter 2 Role of AI in Mortality Prediction in Intensive Care Unit Patients -- 2.1 Introduction -- 2.2 Background -- 2.3 Objectives -- 2.4 Machine Learning and Mortality Prediction -- 2.4.1 Model Selection -- 2.4.2 Mortality Prediction for ICU Patients -- 2.4.3 Datasets Generation and Preprocessing -- 2.4.3.1 A &gt -- Inclusion Criteria -- 2.4.3.2 B &gt -- Exclusion Criteria -- 2.4.4 Structure of Datasets -- 2.5 Discussions -- 2.6 Conclusion -- 2.7 Future Work -- 2.8 Acknowledgments -- 2.9 Funding -- 2.10 Competing Interest -- References -- Chapter 3 A Survey on Malware Detection Using Machine Learning -- 3.1 Background -- 3.2 Introduction -- 3.3 Literature Survey -- 3.4 Discussion -- 3.5 Conclusion -- References -- Chapter 4 EEG Data Analysis for IQ Test Using Machine Learning Approaches: A Survey -- Introduction -- 4.1 Related Work -- 4.1.1 Signal Pre-Processing, Filtering, and Feature Extraction -- 4.2 Equations -- 4.2.1 Alternating a Diffusion Map-Based Combination of Two FCN Datasets -- 4.2.2 Information Examination -- 4.2.3 Gaussian Kernel Function -- 4.3 Classification -- 4.4 Data Set -- 4.4.1 Pre-Preparing…”

Tabla de Contenidos: “…6.7.4 Canonical Correlation Forest -- 6.7.5 Extreme Gradient Boosting -- 6.7.6 Light Gradient Boosting Machines -- 6.7.7 Gradient Boosting Machines -- 6.7.8 Categorical Boosting -- 6.7.9 Natural Gradient Boosting -- 6.8 Concluding Remarks -- References -- Chapter 7 Deep Learning -- 7.1 Fundamentals -- 7.1.1 Stochastic Gradient Descent -- 7.1.2 Backpropagation -- 7.1.3 Regularization -- 7.1.3.1 Weight Decay -- 7.1.3.2 Dropout -- 7.1.3.3 Data Augmentation -- 7.1.3.4 Early Stopping -- 7.1.4 Activation Functions -- 7.1.5 Loss Functions -- 7.2 Neural Network Architectures -- 7.2.1 Multilayer Perceptron -- 7.2.2 Convolutional Neural Networks -- 7.2.2.1 Convolutional Layers -- 7.2.2.2 Pooling Layers -- 7.2.2.3 Fully Connected Layers -- 7.2.2.4 Receptive Field and Feature Map -- 7.2.2.5 Training CNNs -- 7.2.2.6 Data Structures in CNNs -- 7.2.2.7 Evolving Trends in CNN Design -- 7.2.3 Recurrent Neural Networks -- 7.2.3.1 Long- and Short-Term Memory -- 7.2.3.2 Gated Recurrent Unit -- 7.2.4 Vision Transformers -- 7.2.5 Deep Multilayer Perceptron -- 7.2.6 Generative Adversarial Networks -- 7.2.7 Deep Autoencoders -- 7.2.7.1 Undercomplete Autoencoders -- 7.2.7.2 Regularized Autoencoders -- 7.2.7.3 Sparse Autoencoders -- 7.2.7.4 Denoising Autoencoders -- 7.2.7.5 Variational Autoencoders -- 7.3 Learning Paradigms -- 7.3.1 Transfer Learning -- 7.3.2 Semi-Supervised Learning -- 7.3.3 Reinforcement Learning -- 7.3.4 Active Learning -- 7.3.5 Multitask Learning -- 7.4 Application of DL in Remote Sensing -- 7.4.1 Semantic Segmentation -- 7.4.2 Object Detection -- 7.4.3 Scene Classification -- 7.4.4 Change Detection -- 7.5 Concluding Remarks -- References -- Chapter 8 Object-B ased Image Analysis -- 8.1 Clustering-Based Segmentation -- 8.1.1 Mean-Shift Algorithm -- 8.1.2 Superpixel Segmentation -- 8.2 Thresholding-Based Segmentation -- 8.3 Edge-Based Segmentation…”

Tabla de Contenidos: “…29.5 Token Ring multistation access units (MAUs) -- 29.6 Cabling and connectors -- 29.7 Repeaters -- 29.8 Jitter suppression -- 29.9 Exercise -- FDDI -- 30.1 Introduction -- 30.2 Operation -- 30.3 FDDI layers -- 30.4 SMT protocol -- 30.5 Physical connection management -- 30.6 Fault tolerance method -- 30.7 FDDI token format -- 30.8 FDDI Frame format -- 30.9 MAC protocol -- 30.10 Applications of FDDI networks -- 30.11 FDDI backbone network -- 30.12 FDDI attachments -- 30.13 FDDI media -- 30.14 FDDI specification -- 30.15 FDDI-II -- 30.16 Standards -- 30.17 Practical FDDI network - EaStMAN -- 30.18 Exercises -- ASYNCHRONOUS TRANSFER MODE (ATM) -- 31.1 Introduction -- 31.2 Real-time sampling -- 31.3 PCM-TDM systems and ISDN -- 31.4 Objectives of ATM -- 31.5 ATM versus ISDN and PCM-TDM -- 31.6 Statistical multiplexing -- 31.7 ATM user network interfaces (UNIs) -- 31.8 ATM cells -- 31.9 Routing cell within an ATM network -- 31.10 Virtual channels and virtual paths -- 31.11 ATM and the OSI model -- 31.12 ATM physical layer -- 31.13 AAL service levels -- 31.14 ATM flow control -- 31.15 Practical ATM networks -- 31.16 Tutorial -- INTEGRATED SERVICES DIGITAL NETWORK (ISDN) -- 32.1 Introduction -- 32.2 ISDN channels -- 32.3 ISDN physical layer interfacing -- 32.4 ISDN data link layer -- 32.5 ISDN network layer -- 32.6 Exercises -- MODEMS -- 33.1 Introduction -- 33.2 RS-232 communications -- 33.3 Modem standards -- 33.4 Modem commands -- 33.5 Modem setups -- 33.6 Modem indicators -- 33.7 Digital Modulation -- 33.8 Typical modems -- 33.9 Fax transmission -- 33.10 Exercises -- ASCII CODING -- A.1 International alphabet No. 5 -- A.2 Extended ASCII code -- A.3 RS-232C interface -- A.4 RS-449 interface -- CABLE SPECIFICATIONS -- B.1 Introduction -- RLE PROGRAM -- C.1 RLE program -- SNR FOR PCM -- D.1 SNR -- RFC STANDARDS -- UNIX NETWORK STARTUP FILES…”

Tabla de Contenidos: “…13.1.3 Die optimale Strategie -- 13.2 Die grundlegende Theorie von Deep-Q-Learning-Netzwerken -- 13.2.1 Value-Funktionen -- 13.2.2 Q-Value-Funktionen -- 13.2.3 Einen optimalen Q-Value schätzen -- 13.3 Einen DQN-Agenten definieren -- 13.3.1 Initialisierungsparameter -- 13.3.2 Das neuronale-Netze-Modell des Agenten bauen -- 13.3.3 Sich an das Spiel erinnern -- 13.3.4 Training über Memory Replay -- 13.3.5 Eine Aktion auswählen -- 13.3.6 Speichern und Laden der Modellparameter -- 13.4 Mit einer OpenAI-Gym-Umgebung interagieren -- 13.4.1 Hyperparameter-Optimierung mit SLM Lab -- 13.5 Agenten jenseits von DQN -- 13.5.1 Policy-Gradienten und der REINFORCE-Algorithmus -- 13.5.2 Der Actor-Critic-Algorithmus -- 13.6 Zusammenfassung -- Schlüsselkonzepte -- Teil IV -- KI und Sie -- 14 Mit Ihren eigenen Deep-Learning-Projekten beginnen -- 14.1 Ideen für Deep-Learning-Projekte -- 14.1.1 Machine Vision und GANs -- 14.1.2 Natural Language Processing -- 14.1.3 Deep Reinforcement Learning -- 14.1.4 Ein vorhandenes Machine-Learning-Projekt überführen -- 14.2 Ressourcen für weitere Projekte -- 14.2.1 Gesellschaftlich nützliche Projekte -- 14.3 Der Modellierungsprozess einschließlich der Anpassung der Hyperparameter -- 14.3.1 Automatisierung der Hyperparameter-Suche -- 14.4 Deep-Learning-Bibliotheken -- 14.4.1 Keras und TensorFlow -- 14.4.2 PyTorch -- 14.4.3 MXNet, CNTK, Caffe und so weiter -- 14.5 Software 2.0 -- 14.6 Die kommende Artificial General Intelligence -- 14.7 Zusammenfassung -- Anhang -- A Die formale Notation neuronaler Netze -- B Backpropagation -- C PyTorch -- C.1 PyTorch-Eigenschaften -- C.1.1 Das Autograd System -- C.1.2 Das Define-by-Run-Framework -- C.1.3 PyTorch im Vergleich mit TensorFlow -- C.2 PyTorch in der Praxis -- C.2.1 Die PyTorch-Installation -- C.2.2 Die grundlegenden Bausteine in PyTorch -- Einfache Operationen mit Tensoren…”

Tabla de Contenidos: “…Example scripts -- Tivoli Storage Resource Manager for Databases scripts -- Backup and restore scripts -- Appendix B. Additional material…”

Tabla de Contenidos: “…Removing Lotus Enterprise Integrator (LEI) -- Considerations prior to removing LEI -- Access to data -- LEI clustered environment -- Domino Enterprise Connection Services (DECS) -- Process of removing LEI -- Appendix B. Troubleshooting -- Using the LEI log (leilog.nsf) -- Using the Domino log (log.nsf) -- Enabling log conflicts in replication activities -- Logging SQL statements -- Using the trace metaconnector -- Using Notes Server Diagnostic (NSD) -- Appendix C. …”

Tabla de Contenidos: “…Calculating memory needed for an image -- Introduction -- Calculate memory usage for applet viewer -- Calculate memory usage for mid-tier conversion -- Appendix B. Additional material -- Locating the Web material -- Using the Web material -- System requirements for downloading the Web material -- How to use the Web material -- Glossary -- Abbreviations and acronyms -- Related publications -- IBM Redbooks -- Other publications -- Online resources -- How to get IBM Redbooks…”

Tabla de Contenidos: “…Prerequisite steps -- Configuring the Service Tools adapter on the iSeries server -- Setting up Management Central -- Appendix B. Planning checklists -- Independent disk pool checklist -- Disk planning worksheet -- PCI card placement planning worksheet -- Appendix C. …”

Tabla de Contenidos: “…6.2.4.1 Thermal Dosimetry for the Homogeneous Human Brain Model -- 6.2.4.2 Temperature Increase in the Human Eye -- 6.2.4.3 Temperature Rise in Compound and Extracted Eye Models -- 6.2.4.4 Thermal Response of the Human Body -- References -- 7 Biomedical Applications of Electromagnetic Fields -- 7.1 Transcranial Magnetic Stimulation (TMS) Treatment -- 7.1.1 Modeling TMS -- 7.1.1.1 Surface Integral Equation Based Formulation for TMS -- 7.1.2 Human Brain Models -- 7.1.2.1 TMS for Pediatric Population -- 7.1.2.2 Brain Tissue Parameters -- 7.1.3 Numerical Results -- 7.1.3.1 Electric Field Due to Various TMS Coils -- 7.1.3.2 Current Density -- 7.1.3.3 Magnetic Flux Density -- 7.1.3.4 Pediatric Models Using Adult Brain Parameters -- 7.1.3.5 Pediatric Models Using Age-Dependent Brain Parameters -- 7.2 Nerve Fiber Excitation -- 7.2.1 Nerve Fiber Models -- 7.2.1.1 Nerve Fiber Antenna Model -- 7.2.1.2 Numerical Solution -- 7.2.2 Passive Nerve Fiber -- 7.2.3 Active Nerve Fiber -- 7.2.4 Computational Examples -- 7.2.4.1 Numerical Results for Passive Nerve Fiber -- 7.2.4.2 Numerical Results for Active Nerve Fiber -- 7.3 Laser Radiation -- 7.3.1 Laser-Eye Interaction -- 7.3.2 Tissue Optical Parameters -- 7.3.3 Model of the Human Eye -- 7.3.4 Laser Source Modeling -- 7.3.5 Heat Transfer in the Human Eye -- 7.3.6 Numerical Solution of the Heat Transfer -- 7.3.7 Numerical Results -- 7.3.7.1 Steady-State Temperature Distribution -- 7.3.7.2 Nd:YAG 1064 nm Laser -- 7.3.7.3 Ho:YAG 2090 nm Laser -- 7.3.7.4 694.3 nm Ruby Laser -- 7.3.7.5 ArF 193 nm Excimer Laser -- 7.3.7.6 Nd:YLF 1053 nm Laser -- References -- A The Generalized Symmetric Form of Maxwell's Equations -- B A Note on Integral Equations -- C Scalar Green's Function and the Solution to Helmholtz Equation -- C.1 Scalar Green's Function -- C.2 Scalar Helmholtz Equation Solution -- References…”

Tabla de Contenidos: “…381 Simple Tricks to Resolve Problems 381 Documenting the flow 382 Talking through your code 382 Writing comments for future-you 382 The Debugger 383 Debugging setup 383 Working the debugger 385 Setting a breakpoint 387 Watching variables 388 Improved Error Messages 390 Part 6: The Part of Tens 393 Chapter 26: Ten Common Boo-Boos 395 Conditional Foul-Ups 395 == v = 396 Dangerous Loop Semicolons 397 Commas in for Loops 398 Missing break in a switch Structure 398 Missing Parentheses and Curly Brackets 399 Don't Ignore a Warning 399 Endless Loops 400 scanf() Blunders 401 Streaming Input Restrictions 402 Chapter 27: Ten Reminders and Suggestions 403 Maintain Good Posture 404 Use Creative Names 404 Write a Function 405 Work on Your Code a Little Bit at a Time 405 Break Apart Larger Projects into Several Modules 406 Know What a Pointer is 406 Add Whitespace before Condensing 407 Know When if-else Becomes switch-case 407 Remember Assignment Operators 408 When You Get Stuck, Read Your Code Out Loud 409 Part 7: Appendices 411 Appendix A: ASCII Codes 413 Appendix B: Keywords 419 Appendix C: Operators 421 Appendix D: Data Types 423 Appendix E: Escape Sequences 425 Appendix F: Conversion Characters 427 Appendix G: Order of Precedence 429 Index 431.…”

Tabla de Contenidos: “…Conventional Cryptography -- 14.3 Quantum Key Distribution Protocols -- 14.3.1 Overview and BB84 Protocol -- 14.3.2 The B92 Protocol -- 14.3.3 E91 Protocol -- 14.3.4 SARG04 Protocol -- 14.4 Impact of the Sifting and Distillation Steps on the Key Size -- 14.5 Cryptanalysis -- 14.6 Quantum Key Distribution in the Real World -- References -- Chapter 15 Security Issues in Vehicular Ad Hoc Networks and Quantum Computing -- 15.1 Introduction -- 15.2 Overview of VANET Security -- 15.2.1 Security of VANET -- 15.2.2 Attacks are Classified…”

Tabla de Contenidos: “…Data shown are from (a) all 4 micro-regions, (b) Angara valley, (c) Little Sea, (d) Upper Lena and Southwest Baikal. -- Figure 7. …”