Risultati della ricerca - "data structures"

Market Segmentation Analysis: Understanding It, Doing It, and Making It Useful di Leisch, Friedrich

Soggetti: “...Market Research, Market Segmentation, Marketing Mix, Tactical Marketing, Strategic Marketing, Descriptive Analysis, Factor Analysis, Cluster Analysis, Data Structure Analysis, Marketing Planning, Target Market, Computational Statistics, Tourism Marketing, Open Access...”
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Market Segmentation Analysis: Understanding It, Doing It, and Making It Useful di Leisch, Friedrich

Soggetti: “...Market Research, Market Segmentation, Marketing Mix, Tactical Marketing, Strategic Marketing, Descriptive Analysis, Factor Analysis, Cluster Analysis, Data Structure Analysis, Marketing Planning, Target Market, Computational Statistics, Tourism Marketing, Open Access...”
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Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development

Soggetti: “...Algorithms & data structures bicssc...”
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Towards Responsible Plant Data Linkage: Data Challenges for Agricultural Research and Development

Soggetti: “...Algorithms & data structures bicssc...”
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Micro/Nano Manufacturing di Zimmermann, André

Soggetti: “...data structure...”
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Remote Sensing Data Compression

Soggetti: “...compact data structure...”
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Sosiaalihuollon asiakasasiakirjarakenteiden katselmointi di Erja Ailio, Niina Häkälä, Jarmo Kärki

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ON SOME ENTERTAINING APPLICATIONS OF THE CONCEPT OF SET IN COMPUTER SCIENCE COURSE di K. Yordzhev, H. Kostadinova

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AMBIENTE INTEGRADO DE VISUALIZACIÓN DE ESTRUCTURAS DE DATOS PARA LA ENSEÑANZA-APRENDIZAJE DE LA PROGRAMACIÓN DE COMPUTADORAS di Yolanda Soler Pellicer, Karina Virginia Mero Suárez, Edwin Joao Merchán Carreño

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Sublinear Computation Paradigm Algorithmic Revolution in the Big Data Era /

Sommario: “...-- Chapter 2: Property Testing on Graphs and Games -- Chapter 3: Constant-Time Algorithms for Continuous Optimization Problems -- Chapter 4: Oracle-based Primal-Dual Algorithms for Packing and Covering Semidefinite Programs -- Chapter 5: Almost Linear Time Algorithms for Some Problems on Dynamic Flow Networks -- Chapter 6: Sublinear Data Structure -- Chapter 7: Compression and Pattern Matching -- Chapter 8: Orthogonal Range Search Data Structures -- Chapter 9: Enhanced RAM Simulation in Succinct Space -- Chapter 10: Review of Sublinear Modeling in Markov Random Fields by Statistical-Mechanical Informatics and Statistical Machine Learning Theory -- Chapter 11: Empirical Bayes Method for Boltzmann Machines -- Chapter 12: Dynamical analysis of quantum annealing -- Chapter 13: Mean-field analysis of Sourlas codes with adiabatic reverse annealing -- Chapter 14: Rigidity theory for protein function analysis and structural accuracy validations -- Chapter 15: Optimization of Evacuating and Walking Home Routes from Osaka City with Big Road Network Data on Nankai Megathrust Earthquake -- Chapter 16: Stream-based Lossless Data Compression....”
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Programming Persistent Memory A Comprehensive Guide for Developers di Scargall, Stteve

Sommario: “...Front Matter -- Introduction to Persistent Memory Programming -- Persistent Memory Architecture -- Operating Systetm Support for Persistent Memory -- Fundamental Concepts of Persistent Memory Programming -- Introducing the Persistent Memory Develpoment Kit -- Iibpmem: Low-Level Persistent Memory Support -- Iibpmemobj: A Native Transactional Object Store -- libpmemobj-cpp: The Adaptable Language - C++ and Persistent Memory -- pmemkv: A Persistent In-Memory Key-Value Store -- Volatile Use of Persistent Memory -- Designing Data Structures for Persistent Memory -- Debugging Persistent Memory Applications -- Enabling Persistence Using a Real-World Application -- Concurrency and Persistent Memory -- Profiling and Performance -- PMDK Internals: Important Algorithms and Data Structures -- Reliability, Availability, and Serviceability (RAS) -- Remote Persistent Memory -- Advanced Topics -- Back Matter...”
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A Byte of Python di H, Swaroop C

Sommario: “...First Steps -- Basics -- Operators and Expressions -- Control flow -- Functions -- Modules -- Data Structures -- Problem Solving -- Object Oriented Programming -- Input and Output -- Exceptions -- Standard Library...”
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Pro TBB C++ Parallel Programming with Threading Building Blocks / di Voss, Michael, Asenjo, Rafael, Reinders, James

Sommario: “...-- Chapter 2: Generic Parallel Algorithms -- Chapter 3: Flow Graphs -- Chapter 4: TBB and the C++ Parallel Standard Template Library -- Chapter 5: Synchronization: why and how to avoid it -- Chapter 6: Data Structures for Concurrency -- Chapter 7: Scalable Memory Allocation -- Chapter 8: Mapping Parallel Patterns to TBB -- Part II -- Chapter 9: The Pillars of Composability -- Chapter 10: Using tasks to create your own algorithms -- Chapter 11: Controlling the Number of Threads Used for Execution -- Chapter 12: Using Work Isolation for Correctness and Performance -- Chapter 13: Creating Thread-to-core and Task-to-thread Affinity -- Chapter 14: Using Task Priorities -- Chapter 15: Cancellation and Exception Handling -- Chapter 16: Tuning TBB Algorithms: Granularity, Locality, Parallelism and Determinism -- Chapter 17: Flow Graphs: Beyond the Basics -- Chapter 18: Beef up Flow Graphs with Async Nodes -- Chapter 19: Flow Graphs on steroids: OpenCL Nodes -- Chapter 20: TBB on NUMA architectures -- Appendix A: History and Inspiration -- Appendix B: TBB Précis -- Glossary. ....”
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Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science di Deepak R. Unni, Sierra A. T. Moxon, Michael Bada, Matthew Brush, Richard Bruskiewich, J. Harry Caufield, Paul A. Clemons, Vlado Dancik, Michel Dumontier, Karamarie Fecho, Gustavo Glusman, Jennifer J. Hadlock, Nomi L. Harris, Arpita Joshi, Tim Putman, Guangrong Qin, Stephen A. Ramsey, Kent A. Shefchek, Harold Solbrig, Karthik Soman, Anne E. Thessen, Melissa A. Haendel, Chris Bizon, Christopher J. Mungall, The Biomedical Data Translator Consortium

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Skalenübergreifende Modellierung und Optimierung vom atomistischen kristallinen Phasenfeldmodell bis zur mesoskopischen Phasenfeldmethode di Berghoff, Marco

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Signal Computing Digital Signals in the Software Domain di Stiber, Michael D., Zhang Stiber, Bilin, Larson, Eric C.

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Programming Persistent Memory A Comprehensive Guide for Developers / di Scargall, Steve

Sommario: “...Chapter 1: Introduction to Persistent Memory Programming -- Chapter 2: Persistent Memory Architecture -- Chapter 3: Operating System Support for Persistent Memory -- Chapter 4: Fundamental Concepts of Persistent Memory Programming -- Chapter 5: Introducing the Persistent Memory Development Kit -- Chapter 6: libpmem: Low-Level Persistent Memory Support -- Chapter 7: libpmemobj - A Native Transactional Object Store -- Chapter 8: libpmemobj-cpp: The adaptable language C++ and Persistent Memory -- Chapter 9: pmemkv - A Persistent In-Memory Key-Value Store -- Chapter 10: Volatile Use of Persistent Memory -- Chapter 11: Designing Data Structures for Persistent Memory -- Chapter 12: Debugging Persistent Memory Applications -- Chapter 13: Enabling Persistence in a Real World Application -- Chapter 14: Concurrency and Persistent Memory -- Chapter 15: Profiling and Performance -- Chapter 16: PMDK Internals - Important Algorithms and Data Structures -- Chapter 17: Reliability, Availability and Serviceability -- Chapter 18: Remote Persistent Memory -- Chapter 19: Advanced Topics -- Appendix A: Installing NDCTL and DAXCTL on Linux -- Appendix B: Installing PMDK on Linux & Windows -- Appendix C: Installing IPMCTL on Linux and Windows -- Appendix D: Java for Persistent Memory -- Appendix E: The Future of Remote Persistent Memory Replocation....”
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Examining the Factor Structure Underlying the TAP System for Teacher and Student Advancement di Edward Sloat, Audrey Amrein-Beardsley, Kent E. Sabo

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Introduction to Programming Using Java di Eck, David J.

Sommario: “...Chapter 1: Overview: The Mental Landscape -- Chapter 2: Programming in the Small I: Names and Things -- Chapter 3: Programming in the Small II: Control -- Chapter 4: Programming in the Large I: Subroutines -- Chapter 5: Programming in the Large II: Objects and Classes -- Chapter 6: Introduction to GUI Programming -- Chapter 7: Arrays and ArrayLists -- Chapter 8: Correctness, Robustness, Efficiency -- Chapter 9: Linked Data Structures and Recursion -- Chapter 10: Generic Programming and Collection Classes -- Chapter 11: Input/Output Streams, Files, and Networking -- Chapter 12: Threads and Multiprocessing -- Chapter 13: GUI Programming Continued...”
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Projection-Based Clustering through Self-Organization and Swarm Intelligence: Combining Cluster Analysis with the Visualization of High-Dimensional Data di Michael Christoph Thrun

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