Tabla de Contenidos: “…. -- See also -- Configuring an HTTP server to perform echoing and routing -- Getting ready -- How to do it... -- How it works... -- Configuring an HTTP server to perform file serving -- How to do it... -- How it works... -- There's more... -- See also -- Making requests to APIs -- How to do it... -- How it works... -- There's more... -- See also -- Chapter 10: Using Experimental Nightly Features -- Introduction -- Iterating over an inclusive range -- How to do it... -- How it works... -- See also -- Returning abstract types -- How to do it... -- How it works... -- There's more... -- See also -- Composing functions -- How to do it... -- How it works... -- See also -- Filtering strings efficiently -- How to do it... -- How it works... -- See also -- Stepping through an iterator in regular intervals -- How to do it... -- How it works... -- See also -- Benchmarking your code -- How to do it... -- How it works... -- There's more... -- See also -- Using generators -- How to do it... -- How it works... -- See also -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…A disembodied objective between prescribed program and real work -- 6.2.3. Loyalty and performance objectives towards the employer -- 6.3. …”

Tabla de Contenidos: “…-- Consistency Comes from Preparation -- Be a Champion for Your High Standards of Performance -- With Great Preparation Comes Great Confidence -- Key Takeaways -- About the Author -- Index -- EULA…”

Tabla de Contenidos: “…-- React is just the view -- Simplicity is good -- Declarative UI structure -- Time and data -- Performance matters -- The right level of abstraction -- Summary -- Chapter 2: Rendering with JSX -- What is JSX? …”

Tabla de Contenidos: “…-- Konventionen und Downloads -- Über den Autor -- Danksagungen -- Kapitel 1: Einführung in Algorithmen -- 1.1 Einführung -- 1.1.1 Performance -- 1.1.2 Problemlösungen -- 1.2 Binäre Suche -- 1.2.1 Eine bessere Suchmethode -- Übungen -- 1.2.2 Laufzeit -- 1.3 Landau-Notation -- 1.3.1 Die Laufzeiten von Algorithmen nehmen unterschiedlich schnell zu -- 1.3.2 Visualisierung verschiedener Laufzeiten -- 1.3.3 Die Landau-Notation beschreibt die Laufzeit im Worst Case -- 1.3.4 Typische Laufzeiten gebräuchlicher Algorithmen -- Übungen -- 1.3.5 Das Problem des Handlungsreisenden -- 1.4 Zusammenfassung -- Kapitel 2: Selectionsort -- 2.1 Die Funktionsweise des Arbeitsspeichers -- 2.2 Arrays und verkettete Listen -- 2.2.1 Verkettete Listen -- 2.2.2 Arrays -- 2.2.3 Terminologie -- Übung -- 2.2.4 Einfügen in der Mitte einer Liste -- 2.2.5 Löschen -- Übungen -- 2.3 Selectionsort -- Beispielcode -- 2.4 Zusammenfassung -- Kapitel 3: Rekursion -- 3.1 Rekursion -- 3.2 Basisfall und Rekursionsfall -- 3.3 Der Stack -- 3.3.1 Der Aufruf-Stack -- Übung -- 3.3.2 Der Aufruf-Stack mit Rekursion -- Übung -- 3.4 Zusammenfassung -- Kapitel 4: Quicksort -- 4.1 Teile und herrsche -- Übungen -- 4.2 Quicksort -- 4.3 Landau-Notation im Detail -- 4.3.1 Mergesort und Quicksort im Vergleich -- 4.3.2 Average Case und Worst Case im Vergleich -- Übungen -- 4.4 Zusammenfassung -- Kapitel 5: Hashtabellen -- 5.1 Hashfunktionen -- Übungen -- 5.2 Anwendungsfälle -- 5.2.1 Hashtabellen zum Nachschlagen verwenden -- 5.2.2 Doppelte Einträge verhindern -- 5.2.3 Hashtabellen als Cache verwenden -- 5.2.4 Zusammenfassung -- 5.2.5 Kollisionen -- 5.3 Performance -- 5.3.1 Der Auslastungsfaktor -- 5.3.2 Eine gute Hashfunktion -- Übungen -- 5.4 Zusammenfassung…”

Tabla de Contenidos: “…Speech to text using the DeepSpeech architecture -- Overview of the DeepSpeech model -- Speech recordings dataset -- Preprocessing the audio data -- Creating the model -- TensorBoard visualization -- State-of-the-art in speech recognition -- Summary -- Chapter 12: Text-to-Speech Using Tacotron -- Overview of text to speech -- Naturalness versus intelligibility -- How is the performance of a TTS system evaluated? -- Traditional techniques - concatenative and parametric models -- A few reminders on spectrograms and the mel scale -- TTS in deep learning -- WaveNet, in brief -- Tacotron -- The encoder -- The attention-based decoder -- The Griffin-Lim-based postprocessing module -- Details of the architecture -- Limitations -- Implementation of Tacotron with Keras -- The dataset -- Data preparation -- Preparation of text data -- Preparation of audio data -- Implementation of the architecture -- Pre-net -- Encoder and postprocessing CBHG -- Attention RNN -- Decoder RNN -- The attention mechanism -- Full architecture, with attention -- Training and testing -- Summary -- Chapter 13: Deploying Trained Models -- Increasing performance -- Quantizing the weights -- MobileNets -- TensorFlow Serving -- Exporting the trained model -- Serving the exported model -- Deploying in the cloud -- Amazon Web Services -- Google Cloud Platform -- Deploying on mobile devices -- iPhone -- Android -- Summary -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…Taking DaaS from Concept to Reality 280 -- Topics Covered in this Chapter 280 -- Service Performance Measurement Using the Balanced Scorecard 284 -- Implementing the Performance Scorecard to Improve Data Services 286 -- Embarking on the DaaS Journey with a Vision 287 -- Using AGILE Principles for New Data Services Development 290.…”

Tabla de Contenidos:

Tabla de Contenidos: “…Performance measures -- 3.2.1. Quality of solutions -- 3.2.2. …”

Tabla de Contenidos: “…Foreword of the Editor i -- Zusammenfassung iii -- Abstract v -- Abbreviations xiii -- List of Symbols xvii -- 1 Introduction 1 -- 1.1 Aims and Objectives 1 --1.2 State of the Art 4 -- 1.3 Method of Mode-Locking in Laser Physics 7 -- 1.4 From Optics to Microwaves 13 -- 1.5 Outline 14 -- 2 Fundamental Theory of Passive Mode-Locked Oscillators 17 -- 2.1 Characteristics of Ultra-Short Pulses 17 -- 2.1.1 Slowly Varying Amplitudes 17 -- 2.1.2 Ultra-Short Pulses 18 -- 2.2 Haus Master Equation of Passive Mode-Locked Oscillators 20 -- 2.2.1 Amplification 21 -- 2.2.2 Saturable Loss and Self Amplitude Modulation 23 -- 2.2.3 Dispersion 24 -- .2.4 Slow Components 25 -- 2.2.5 Time-Shift 27 -- 2.2.6 Typical Values 28 -- 2.3 Passive Mode-Locked Oscillators for MW Frequencies 30 -- 2.3.1 Fast and Slow Components 30 -- 2.3.2 Fast Amplifier and Fast Absorber 31 -- 2.3.3 Slow Amplifier and Fast Absorber 35 -- 2.4 Conclusion 37 -- 3 MW Components for Passive Mode-Locked Oscillators 39 -- 3.1 Helical Gyro-TWTs 39 -- 3.1.1 Helically Corrugated Waveguides 41 -- 3.1.2 Electron Cyclotron Maser Interaction 46 -- 3.1.3 Large Orbit Electron Beams 50 -- 3.1.4 CUSP-Type Electron Guns 52 -- 3.1.5 Waveguide Polarizers 60 -- 3.1.6 Horn Antenna and Collector 62 -- 3.1.7 Broadband Windows 64 -- 3.1.8 In-and Out-coupling of High-Power Signals 68 -- 3.2 Cyclotron Absorber 70 -- 3.3 Helical Gyro-TWTs as Saturable Absorbers 77 -- 3.4 Passive Components 78 -- 3.4.1 Jones Calculus 78 -- 3.4.2 Polarization Splitter 81 -- 3.4.3 Polarizers 84 -- 4 Simulation Model for Gyro-Devices 87 -- 4.1 Field Equations 89 -- 4.1.1 Helically Corrugated Waveguide 91 -- 4.1.2 Range of Validity 94 -- 4.1.3 Multi-Mode Simulations 100 -- 4.2 Equations of Motion 101 -- 4.2.1 Source Term 103 -- 4.2.2 Space Charge 105 -- 4.3 Numerical Solution 107 -- 4.3.1 Field Equations 108 -- 4.3.2 Coupled Equations of Helical Waveguides 110 -- 4.3.3 Source Term and Equations of Motion 111 -- 4.3.4 Implementation and GPU Acceleration 112 -- 4.4 Comparison with Existing Approaches 116 -- 5 Design of Amplifier and Absorber 119 -- 5.1 Amplifier 120 -- 5.1.1 Helical Interaction Region 121 -- 5.1.2 Power Capability 122 -- 5.1.3 Synchronized Operation Regime 125 -- 5.1.4 Slippage Operation Regime 126 -- 5.1.5 Length of the Interaction Region 127 -- 5.1.6 Amplification of Ultra-Short Pulses 129 -- 5.2 Saturable Absorber 134 -- 5.2.1 Helical Gyro-TWT Absorber 135 -- 5.2.2 Cyclotron Absorber 137 -- 5.2.3 Ultra-Short Pulses in a Saturable Absorber 142 -- 5.3 Effects of Manufacturing Tolerances 147 -- 6 System Design 151 -- 6.1 Simulation of a Passive Mode-Locked Oscillator 151 -- 6.2 Different Passive Mode-Locked Oscillators 153 -- 6.3 Generated Output Signal 157 -- 6.3.1 Pulse Power and Length 158 -- 6.3.2 Pulse Shape 160 -- 6.3.3 Spectrum 161 -- 6.4 Transient Behavior of the Oscillator 167 -- 6.4.1 Start-up in the Hard Excitation Region 167 -- 6.4.2 Start-up in the Soft Excitation Region 169 -- 6.4.3 Achievable Repetition Rate 171 -- 6.4.4 Achievable Coherence 174 -- 6.5 Realistic Start-Up Scenarios 178 -- 6.5.1 High-Gain HelicalGyro-TWT 179 -- 6.5.2 Hard Excitation with a High-Gain HelicalGyro-TWT 181 -- 6.6 Conclusion 182 -- 7 Simulation Model for Passive Components 185 -- 7.1 Surface Integral Equations 186 -- 7.2 Numerical Solution 188 -- 7.2.1 Adaptive Cross Approximation 189 -- 7.2.2 Sparsified Adaptive Cross Approximation 190 -- 7.3 New Zero-Cost Preconditioner 192 -- 7.3.1 GMRE Swith Preconditioner 192 -- 7.3.2 FGMRE Swith Zero-Cost Preconditioner 193 -- 7.3.3 Performance of the Zero-Cost Preconditioner 195 -- 7.4 Implementation and Verification 200 -- 7.5 Dispersion of Helically Corrugated Waveguides 203 -- 8 Design of the Feedback System 205 -- 8.1 Requirements 206 -- 8.2 Feedback System via Overmoded Waveguides 208 -- 8.2.1 Waveguide 210 -- 8.2.2 Broadband Polarization Splitter 212 -- 8.2.3 Broadband Polarizer 215 -- 8.2.4 Performance of the Complete Feedback System 219 -- 8.3 Additional Operation Modes 220 -- 8.3.1 Operation in the Hard Excitation Region 222 -- 8.3.2 New Type of Two-Stage Amplifier 224 -- 8.3.3 Operation as a CW Source 226 -- 8.4 Conclusion 229 -- 9 Conclusion and Outlook 231 -- A Appendix 239 -- A.1 Split-Step Fourier Method 239 -- A.2 Verification of Electron-Wave Interaction Simulations 240 -- A.2.1 Short-Pulse ITERGyrotron 241 -- A.2.2 W-Band HelicalGyro-TWT 245 -- A.3 Verification of EFIE Solver 249 -- A.3.1 Verification of Simulated Field Distribution 249 -- A.3.2 Verification of Simulated Ohmic-Loss 252 -- A.4 Passive Mode-locked Oscillator with Cyclotron Absorber 254 -- Bibliography 257 -- Contents Acknowledgment 281.…”

Tabla de Contenidos: “…-- 3.4.1 How to create a concatenation set -- 3.5 Load the database with online information -- 3.5.1 How to load CICS resources -- 3.5.2 Monitor and review the batch job -- 3.5.3 Verify your CICS resources in the database -- 3.5.4 Assign CICS components to an application -- 3.6 Load the database with source code -- 3.6.1 How to load data set resources -- 3.6.2 Monitor and review the batch job -- 3.6.3 What happens during a scan -- 3.7 How to resolve database load errors -- 3.7.1 Database status problem summary pages -- 3.7.2 The results of our example loads -- 3.8 How to perform ongoing database loads -- 3.8.1 One recommended approach -- 3.9 How and when to perform database maintenance -- 3.9.1 How to run the WSAA DB2 utilities -- 3.9.2 When to invoke the DB2 utilities -- 3.10 Collecting for the distributed environment -- 3.11 Notes for the practical -- 3.11.1 Preload analysis concatenation set libraries -- 3.11.2 Load include members before main members -- 3.11.3 Add system-level programs to the mix -- 3.11.4 Run your inventory collection during off-hours -- 3.11.5 Miscellaneous notes -- 3.12 Summary -- Chapter 4. …”

Tabla de Contenidos: “…. -- Chapter 15: Optimizing Performance -- Introduction -- Memory management with ARC -- Getting ready -- Retain cycles -- Working with closures -- How to do it... -- How it works... -- Measuring performance -- How to do it... -- How it works... -- Measuring energy impact -- How to do it... -- How it works... -- On-demand resources -- Getting ready -- How to do it... -- How it works... -- Index…”

Tabla de Contenidos: “…-- Getting ready to use your accelerators -- How to use accelerators on AWS - Amazon SageMaker -- Optimizing accelerator performance -- Hyperparameters…”

Tabla de Contenidos: “…-- 6.1 Introduction -- 6.2 Methods -- 6.2.1 Analysing Differences Between Value Sets -- 6.2.2 Defining Preference Patterns and the Performance of These Patterns -- 6.3 Differences Between Value Sets -- 6.3.1 Relative Importance of the Dimensions -- 6.3.2 Marginal Value Decrements of Moving from One Level to Another…”

Tabla de Contenidos: “…Aziz Thermodynamic Analysis of Three Compressed Air Energy Storage Systems: Conventional, Adiabatic, and Hydrogen-Fueled Reprinted from: Energies 2017, 10(7), 1020; doi: 10.3390/en10071020 -- Jichao Hong, Zhenpo Wang and Peng Liu Big-Data-Based Thermal Runaway Prognosis of Battery Systems for Electric Vehicles on Road Reprinted from: Energies 2017, 10(7), 919; doi: 10.3390/en10070919 -- Xiaogang Wu and Tianze Wang Optimization of Battery Capacity Decay for Semi-Active Hybrid Energy Storage System Equipped on Electric City Bus Reprinted from: Energies 2017, 10(6), 792; doi: 10.3390/en10060792 -- Chengning Zhang, Xin Jin and Junqiu Li PTC Self-Heating Experiments and Thermal Modeling of Lithium-Ion Battery Pack in Electric Vehicles Reprinted from: Energies 2017, 10(4), 572; doi: 10.3390/en10040572 -- Xiaofeng Ding, Jiawei Cheng and Feida Chen Impact of Silicon Carbide Devices on the Powertrain Systems in Electric Vehicles Reprinted from: Energies 2017, 10(4), 533; doi: 10.3390/en10040533 -- Jing Sun, Guojing Xing and Chenghui Zhang Data-Driven Predictive Torque Coordination Control during Mode Transition Process of Hybrid Electric Vehicles Reprinted from: Energies 2017, 10(4), 441; doi: 10.3390/en10040441 -- Yonggang Liu, Jie Li, Ming Ye, Datong Qin, Yi Zhang and Zhenzhen Lei Optimal Energy Management Strategy for a Plug-in Hybrid Electric Vehicle Based Grade Information Reprinted from: Energies 2017, 10(4), 412; doi: 10.3390/en10040412 -- Bo Jiang, Haifeng Dai, Xuezhe Wei, Letao Zhu and Zechang Sun Online Reliable Peak Charge/Discharge Power Estimation of Series-Connected Lithium-Ion Battery Packs Reprinted from: Energies 2017, 10(3), 390; doi: 10.3390/en10030390 -- Xiaofeng Ding, Min Du, Jiawei Cheng, Feida Chen, Suping Ren and Hong Guo Impact of Silicon Carbide Devices on the Dynamic Performance of Permanent Magnet Synchronous Motor Drive Systems for Electric Vehicles Reprinted from: Energies 2017, 10(3), 364; doi: 10.3390/en10030364 -- Sebastian Kuboth, Andreas König-Haagen and Dieter Brüggemann Numerical Analysis of Shell-and-Tube Type Latent Thermal Energy Storage Performance with Different Arrangements of Circular Fins Reprinted from: Energies 2017, 10(3), 274; doi: 10.3390/en10030274 -- Yunlong Shang, Qi Zhang, Naxin Cui and Chenghui Zhang A Cell-to-cell Equalizer Based on Three-Resonant-State Switched-Capacitor Converters for Series- Connected Battery Strings Reprinted from: Energies 2017, 10(2), 206; doi: 10.3390/en10020206 -- Xin Wang, Jun Yang, Lei Chen and Jifeng He Application of Liquid Hydrogen with SMES for Efficient Use of Renewable Energy in the Energy Internet Reprinted from: Energies 2017, 10(2), 185; doi: 10.3390/en10020185 -- Zijie Wang, Baoshan Zhu, Xuhe Wang and Daqing Qin Pressure Fluctuations in the S-Shaped Region of a Reversible Pump-Turbine Reprinted from: Energies 2017, 10(1), 96; doi: 10.3390/en10010096 -- Jiangong Zhu, Zechang Sun, Xuezhe Wei and Haifeng Dai Battery Internal Temperature Estimation for LiFePO. …”

Tabla de Contenidos: “…-- Advantages of Spark SQL -- Integration with Apache Spark -- Key concepts - DataFrames and datasets -- Getting started with Spark SQL -- Loading and saving data -- Utilizing Spark SQL to filter and select data based on specific criteria -- Exploring sorting and aggregation operations using Spark SQL -- Grouping and aggregating data - grouping data based on specific columns and performing aggregate functions -- Advanced Spark SQL operations -- Leveraging window functions to perform advanced analytical operations on DataFrames -- User-defined functions -- Working with complex data types - pivot and unpivot -- Summary -- Sample questions -- Answers -- Part 4: Spark Applications -- Chapter 7: Structured Streaming in Spark -- Real-time data processing -- What is streaming? …”

Tabla de Contenidos: “…Declining school education performance and ongoing inequity are a serious threat to New Zealand's prosperity -- 4.2. …”

Tabla de Contenidos: “…-- Sensing Demand Signals -- Demand Shaping Is a Critical Success Factor -- True Demand Shaping -- A New Paradigm Shift -- Large-Scale Automatic Hierarchical Forecasting -- Transactional Data -- Time Series Data -- Forecasting Models -- Skill Requirements -- Summary -- Key Learnings -- Further Reading -- Chapter 5 Performance Metrics -- Why MAPE Is Not Always the Best Metric -- Why In-Sample/Out-of-Sample Measurement Is So Important -- Forecastability -- Forecast Value Added -- Ho: Your Forecasting Process Has No Effect -- Summary -- Key Learnings -- Notes -- Further Reading -- Chapter 6 The Analytics -- Underlying Fundaments of Statistical Models -- How Predictable Is the Future? …”

Tabla de Contenidos: “…5.3 The Evolution of Research Methodology - Conceptual Process Design5.4 Essential Workflow Elements; 5.4.1 Catalyst Testing Equipment; 5.4.2 Kinetics and Pseudo-Kinetics; 5.4.3 Statistical Design of Experiments; 5.4.4 Data Analysis; 5.4.5 Example of PCA Applied to Catalysis; 5.4.6 Example of PLS Applied to Diesel Properties; 5.5 Other Examples of Parallel Reactor Equipment Applied Beyond Screening - Long-Term Catalyst Performance; 5.6 Concluding Remarks; References; 6: Braskem's Ethanol to Polyethylene Process Development; 6.1 Introduction; 6.1.1 Overview of Braskem Activities and History…”