Tabla de Contenidos: “…Notes for the C ExpertsTips & Tricks; Notes for PIC24 GA1 and GB1 Users; Exercises; Books; Links; 4: Numb3rs; Flight Plan; Preflight Checklist; The Flight; Going Long; Long Long Multiplications; Floating Point; Notes for the C Experts; Measuring Performance; Post-Flight Briefing; Notes for the Assembly Experts; Notes for the PIC® Microcontroller Experts; Tips & Tricks; Math Libraries; Complex Data Types; Exercises; Books; Links; 5: Interrupts; Flight Plan; Preflight Checklist; The Flight; Nesting of Interrupts; Traps; Trap Vector Details; A Template and an Example for a Timer1 Interrupt…”

“…Provides proven content from a world-renowned performance and troubleshooting expert Emphasizes the significance of internals knowledge to rapid identification of database performance problems Covers the core essentials and does not waste your time with esoterica…”

Tabla de Contenidos: “…Locales in XPages -- Deprecated Locale Codes -- Conclusion -- Part VI: Performance, Scalability, and Security -- Chapter 16 Application Performance and Scalability -- Golden Rules -- Understanding the Request Processing Lifecycle -- Reducing CPU Utilization -- Reducing Memory Utilization -- Conclusion -- Chapter 17 Security -- Notes/Domino Security and XPages -- Let's Get Started -- Programmability Restrictions -- Restricted Operation -- XPages Security Checking -- XPages Security in the Notes Client -- Active Content Filtering -- Public Access -- SessionAsSigner -- Troubleshooting XPages Java Security Exceptions -- Conclusion -- Part VII: Appendixes -- Appendix A: XSP Programming Reference -- XSP Tag Reference -- XSP Java Classes -- Notes/Domino Java API Classes -- XSP JavaScript Pseudo Classes -- Appendix B: XSP Style Class Reference -- XSP CSS Files -- XSP Style Classes -- Appendix C: Useful XPages Sites on the Net -- Index…”

Tabla de Contenidos: “…Exchanges and Bindings -- Durability and Persistence -- Client Libraries -- Synchronous Reads, Asynchronous Writes -- HTTP-Based Reads -- Messaging-Based Writes -- The CAP Theorem -- Eventual Consistency -- Designing Around Consistency -- Data Is the API -- Operations on Fields -- Modifications to Field Operations -- Conclusion -- 12 Web Hooks and External Services -- Web Hooks -- PubSubHubbub -- Receiving Web Hooks -- Providing Web Hooks -- Strategies for Dealing with Failure -- OAuth -- Implementing an OAuth Consumer -- Implementing an OAuth Provider -- Integrating with External Services -- Consuming Data -- Pushing Data -- The Request Lifecycle -- Worker Processes -- Ensuring Performance and Reliability -- Segregating Queues -- Metrics -- Throttling and Quotas -- Conclusion -- Appendix RESTful Primer -- Roy Fielding's REST -- Constraints -- Architectural Elements -- Architectural Views -- REST and Resources -- URIs and Addressability -- Representations -- HTTP and the Uniform Interface -- HTTP Methods -- HTTP Headers -- HTTP Status Codes -- Conclusion -- Index…”

Tabla de Contenidos: “…The Right to Fire on Performance; 3. The Right to Control Operations; 4. …”

Tabla de Contenidos: “…""Tank Fence""""Creating Menus for the Game""; ""Setting Views Using setContentView and addContentView""; ""Sleek Design of XML Views""; ""Working with Buttons and the Counter Class""; ""Using Touch for Rotation""; ""Rotation Using Android Sensors""; ""Summary""; ""Chapter 3: ES 2.0 Fundamentals""; ""EGL on Android""; ""The GLSurfaceView Class""; ""Setting up the Renderer""; ""Renderer Thread""; ""Decoupling for Dedicated Performance""; ""Thread Safety""; ""Implemented Methods""; ""Anatomy of a Renderer""; ""GL SURFACE CHANGED Application""; ""Framebuffer""; ""Double Buffering""…”

Tabla de Contenidos: “…Preparing and Understanding DataData Preprocessing and Feature Selection; Classification Model for Predicting Churn; Evaluating the Performance of the Customer Churn Models; Summary; Chapter 7: Customer Segmentation Models; Customer Segmentation Models in a Nutshell; Building and Deploying Your First K-Means Clustering Model; Feature Hashing; Identifying the Right Features; Properties of K-Means Clustering; Customer Segmentation of Wholesale Customers; Loading the Data from the UCI Machine Learning Repository; Using K-Means Clustering for Wholesale Customer Segmentation…”

Tabla de Contenidos: “…Change management and performance managementConclusion; 3 Who should be involved in BPM and what are the critical success factors?…”

“…You'll learn about performance and rendering patterns such as server-side rendering and Islands architecture. …”

Tabla de Contenidos: “…VS Code installation and setup -- LSP demo -- Demo description -- LSP session -- Initialization -- Open document -- Go-to definition -- Change document -- Closing a document -- Integration with Clang tools -- Clangd support for code formatting using LSP messages -- Formatting entire documents -- Formatting specific code ranges -- Clang-Tidy -- Clang-Tidy integration with LSP -- Applying fixes in the IDE -- Performance optimizations -- Optimizations for modified documents -- Source code preamble -- AST build at Clangd -- Building preamble optimization -- Summary -- Further reading -- Part 3: Appendix -- Chapter 9: Appendix 1: Compilation Database -- Compilation database definition -- CDB creation -- Generating a CDB with CMake -- Ninja to Generate a CDB -- Clang tools and a CDB -- Clang-Tidy Configuration for Large Projects -- Clangd Setup for Large Projects -- Further reading -- Chapter 10: Appendix 2: Build Speed Optimization -- Technical requirements -- Precompiled headers -- Clang modules -- Test project description -- Modulemap file -- Explicit modules -- Implicit modules -- Some problems related to modules -- Further reading -- Index -- Other Books You Might Enjoy…”

Tabla de Contenidos: “…-- Machine learning paradigms -- Introducing models, datasets, and supervised learning -- Models -- Hyperparameters -- Datasets -- Overfitting and generalization -- Supervised learning -- Model performance metrics -- A modeling example -- Decision tree learning -- Entropy and information gain -- Building a decision tree using C4.5 -- Overfitting in decision trees -- Building decision trees with scikit-learn -- Decision tree hyperparameters -- Summary -- References -- Chapter 2: Ensemble Learning - Bagging and Boosting -- Technical requirements -- Ensemble learning -- Bagging and random forests -- Random forest -- Gradient-boosted decision trees -- Gradient descent -- Gradient boosting -- Gradient-boosted decision tree hyperparameters -- Gradient boosting in scikit-learn -- Advanced boosting algorithm - DART -- Summary -- References -- Chapter 3: An Overview of LightGBM in Python -- Technical requirements -- Introducing LightGBM -- LightGBM optimizations -- Hyperparameters -- Limitations of LightGBM -- Getting started with LightGBM in Python -- LightGBM Python API -- LightGBM scikit-learn API -- Building LightGBM models -- Cross-validation -- Parameter optimization -- Predicting student academic success -- Summary -- References -- Chapter 4: Comparing LightGBM, XGBoost, and Deep Learning -- Technical requirements -- An overview of XGBoost -- Comparing XGBoost and LightGBM -- Python XGBoost example -- Deep learning and TabTransformers -- What is deep learning? …”

Tabla de Contenidos: “…9.8 Bibliographical Notes 175 -- 10 OFDM Receiver with Clustered Channel Adaptation 177 -- 10.1 Illustration of Channel Dynamics 177 -- 10.2 Modeling Cluster-Based Block-to-Block Channel Variation 178 -- 10.3 Cluster-Adaptation Based Block-to-Block Receiver 180 -- 10.3.1 Cluster Offset Estimation and Compensation 181 -- 10.3.2 Cluster-Adaptation Based Sparse Channel Estimation 184 -- 10.3.3 Channel Re-estimation and Cluster Variance Update 186 -- 10.4 Experimental Results: MACE10 186 -- 10.4.1 BLER Performance with an Overall Resampling 187 -- 10.4.2 BLER Performance with Refined Resampling 188 -- 10.5 Experimental Results: SPACE08 190 -- 10.6 Discussion 193 -- 10.7 Bibliographical Notes 193 -- 11 OFDM in Deep Water Horizontal Communications 195 -- 11.1 System Model for Deep Water Horizontal Communications 196 -- 11.1.1 Transmitted Signal 197 -- 11.1.2 Modeling Clustered Multipath Channel 197 -- 11.1.3 Received Signal 198 -- 11.2 Decision-Feedback Based Receiver Design 199 -- 11.3 Factor-Graph Based Joint IBI/ICI Equalization 200 -- 11.3.1 Probabilistic Problem Formulation 200 -- 11.3.2 Factor-Graph Based Equalization 202 -- 11.4 Iterative Block-to-Block Receiver Processing 203 -- 11.5 Simulation Results 205 -- 11.6 Experimental Results in the AUTEC Environment 208 -- 11.7 Extension to Underwater Broadcasting Networks 211 -- 11.7.1 Underwater Broadcasting Networks 211 -- 11.7.2 Emulated Experimental Results: MACE10 211 -- 11.8 Bibliographical Notes 214 -- 12 OFDM Receiver with Parameterized External Interference Cancellation 215 -- 12.1 Interference Parameterization 215 -- 12.2 An Iterative OFDM Receiver with Interference Cancellation 217 -- 12.2.1 Initialization 219 -- 12.2.2 Interference Detection and Estimation 219 -- 12.2.3 Channel Estimation, Equalization and Channel Decoding 221 -- 12.2.4 Noise Variance Estimation 221 -- 12.3 Simulation Results 221 -- 12.3.1 Time-Invariant Channels 222 -- 12.3.2 Time-Varying Channels 223 -- 12.3.3 Performance of the Proposed Receiver with Different SIRs 224.…”

Tabla de Contenidos: “…Introduction to DB2 Tools for Multiplatforms -- 1.1 The DB2 Tools for Multiplatforms -- 1.1.1 Database administration tools -- 1.1.2 Performance management tools -- 1.1.3 Recovery and replication tools -- 1.1.4 Application management tools -- 1.2 DB2 Web Query Tool -- 1.3 DB2 Table Editor -- 1.4 DB2 Recovery Expert -- 1.5 DB2 High Performance Unload -- 1.6 DB2 Performance Expert -- 1.7 DM Tools for Multiplatforms ordering information -- Chapter 2. …”

Tabla de Contenidos: “…Project Espresso: Testing phase -- 8.1 Testing overview -- 8.1.1 Task review -- 8.2 Test plan review -- 8.3 Execute the Test Plan -- 8.4 Performance testing -- 8.4.1 Performance concepts -- 8.4.2 Performance tuning -- 8.4.3 WebSphere Business Integration Connect sizing -- Chapter 9. …”

Tabla de Contenidos: “…EL ENTRETENIMIENTO RADICAL -- LAS LOVE DOLLS -- GOZAR ENTRE LOS PIES -- EN TORNO A LA HISTORIA DEL OJO Y LAS MUECAS DE BELLMER -- EL MDIUM FOTOGRFICO, TRANSICIN ENTRE FETICHISMO Y PERFORMANCE BODY ART -- EL JARDN DE LOS SUPLICIOS O THE TORTURE GARDEN -- III. …”

Tabla de Contenidos: “…; Post-modern Communication in the Society of Performance and Great Rejection; Ser otro…”

Tabla de Contenidos: “…Always Promote Honesty in the Measurement of Key Performance Indicators…”

Tabla de Contenidos: “…Microsoft® Windows Server® 2012 Administration: Instant Reference; Copyright; Acknowledgments; About the Authors; Contents at a Glance; Contents; Introduction; Who Should Read This Book; How to Contact the Authors; Part I: Getting Started; Chapter 1: Getting Started with Windows Server 2012; Plan for Windows Server 2012; Understand Hardware Requirements; Understand Windows Server 2012 Editions and Roles; Understand Server Core; Consider Your Licensing Options; Install Windows Server 2012; Perform a Windows Server 2012 Full Installation; Perform a Windows Server 2012 Server Core Installation…”

Tabla de Contenidos: “…-- 4.4 The H.264/AVC Standard -- 4.5 H.264 Profiles and Levels -- 4.6 The H.264 Syntax -- 4.7 H.264 in practice -- 4.8 Summary -- 4.9 References -- 5: H.264 syntax -- 5.1 Introduction -- 5.2 H.264 syntax -- 5.3 Frames, fields and pictures -- 5.4 NAL unit -- 5.5 Parameter Sets -- 5.6 Slice layer -- 5.7 Macroblock layer -- 5.8 Summary -- 5.9 References -- 6: H.264 Prediction -- 6.1 Introduction -- 6.2 Macroblock prediction -- 6.3 Intra prediction -- 6.4 Inter prediction -- 6.5 Loop filter -- 6.6 Summary -- 6.7 References -- 7: H.264 transform and coding -- 7.1 Introduction -- 7.2 Transform and quantization -- 7.3 Block scan orders -- 7.4 Coding -- 7.5 Summary -- 7.6 References -- 8: H.264 conformance, transport and licensing -- 8.1 Introduction -- 8.2 Conforming to the Standard -- 8.3 H.264 coding tools for transport support -- 8.4 Transport of H.264 data -- 8.5 Supplemental Information -- 8.6 Licensing H.264/AVC -- 8.7 Summary -- 8.8 References -- 9: H.264 performance -- 9.1 Introduction -- 9.2 Experimenting with H.264 -- 9.3 Performance comparisons…”

Tabla de Contenidos: “…Using information to improve the performance of government policy -- 3.3. Using information to qualify for green finance instruments 3.4. …”