Search results for "Science and Computing with Raspberry Pi"
Items we need to order for you
High Performance Computing in Science and Engineering
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on High Performance Computing in Science and Engineering, HPCSE 2015, held in Soláň, Czech Republic, in May 2015. The 14 papers presented in this volume were carefully reviewed and selected from 21 submissions. The conference provides an international forum for exchanging ideas among researchers involved in scientific and parallel computing, including theory and applications, as well as applied and computational mathematics. The focus of HPCSE 2015 was on models, algorithms, and software tools which facilitate efficient and convenient utilization of modern parallel and distributed computing architectures, as well as on large-scale applications.
R 2,158.91
Introduction to Python for Science and Engineering
Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical and “bottom up,” which means starting with examples and extracting more general principles from that experience. No prior programming experience is assumed.Readers will learn the basics of Python syntax, data structures, input and output, conditionals and loops, user-defined functions, plotting, animation, and visualization. They will also learn how to use Python for numerical analysis, including curve fitting, random numbers, linear algebra, solutions to nonlinear equations, numerical integration, solutions to differential equations, and fast Fourier transforms.Readers learn how to interact and program with Python using JupyterLab and Spyder, two simple and widely used integrated development environments.All the major Python libraries for science and engineering are covered, including NumPy, SciPy, Matplotlib, and Pandas. Other packages are also introduced, including Numba, which can render Python numerical calculations as fast as compiled computer languages such as C but without their complex overhead.
R 6,893.02
Applied Computing, Computer Science, and Advanced Communication
The International Conference on Future Computer and Communication was held in Wuhan, China, June 6–7, 2009. The following topics are covered by FCC Conference: agents, knowledge-based technologies, bioinformatics engineering, computer architecture and design, computer networks and security, data mining and database applications, high-performance networks and protocols, multimedia and web services, network reliability and QoS, neural networks and intelligent systems, software engineering and agile development, antennas and propagation, information theory and coding, multiple access techniques, optical communications and photonics, RF and microwave devices, satellite, space and wireless communications, signal and image processing, 3G, 4G mobile communications, communications IC Design, instrumentation and control, and VLSI design. The purpose of the FCC conferences is to bring together researchers and practitioners from academia, industry, and government to exchange their research ideas and results and to discuss the state of the art in the areas covered by the conference The conference included invited talks, workshops, tutorials, and other events dedicated to this area. FCC 2009 provided a forum for engineers and scientists in academia, university and industry to present their latest research findings in any aspects of future computers and communication. The conference was co-sponsored by the Engineering Technology Press, Hong Kong, IEEE SMC TC on Education Technology and Training, and the Intelligent Information Technology Application Research Association, Hong Kong. Much work went into preparing a program of high quality. We received 110 submissions.
R 1,550.49
Advances in Computing Science – ASIAN 2002: Internet Computing and Modeling, Grid Computing, Peer-to-Peer Computing, and Cluster Computing
The series of annual Asian Computing Science Conferences (ASIAN) was init- ted in 1995 by AIT, INRIA, and UNU/IIST to provide a forum for researchers in computer science from the Asian region and to promote interaction with - searchers from other regions. The ?rst six conferences were held, respectively, in Bangkok, Singapore, Katmandu, Manila, Phuket, and Penang. The proc- dings have been published in the Lecture Notes in Computer Science Series of Springer-Verlag. This year, the main themes chosen for ASIAN 2002 were: - Internet Computing and Modeling, - Grid, Peer-to-Peer, and Cluster Computing. The program committee selected 17 papers out of 30 submissions, and these papersshowverywelltherichnessofthis?eldofscienti?cinvestigations.Wehave indeed papers on topics ranging from scienti?c cluster computing to advanced networkingapplicationsforthegeneralpublic,andfromnetworkprotocoldesign and evaluation to the architecture of the Grid. The invited speakers of ASIAN 2002 were Alessandro Bassi (University of Tennessee), Brigitte Plateau (Institut Polytechnique de Grenoble), and Shinji Shimojo (Osaka University). The program committee thanks them for accepting its invitation.The conference was held in Hanoi, Vietnam. We are much obliged to the Asian Institute of Technology of Hanoi, and its director Prof. Nguyen Cong Thanh, for coordinating the local arrangements. Many thanks are due to our sponsoring institutions: the Asian Institute of Technology (Thailand), INRIA (France), and Waseda University (Japan). Finally, I wish to thank warmly the program committee and the additional referees,fortheire?cienthandlingofthepapersunderunusualtimeconstraints.
R 2,355.11
Computer and Information Science
This edited book presents scientific results of the 13th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2014) which was held on June 4-6, 2014 in Taiyuan, China. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them.The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rigorous rounds of review. This publication captures 14 of the conference’s most promising papers, and we impatiently await the important contributions that we know these authors will bring to the field of computer and information science.
R 3,025.73
R 1,176.00
Reliable and Autonomous Computational Science
Increasing size and complexity of software and hardware systems makes it harder to ensure their reliability. At the same time, the issues of autonomous computing become more critical as we more and more rely on software systems in our daily life. Such complexity is getting even more critical with the ubiquitous computing of embedded devices and other pervasive systems. These trends ask for techniques and tools for developing reliable and autonomous software which can support software engineers in their efforts. This book summarizes the state of the art of research in the diverse fields concerned, including novel designs, case studies and experimental as well as theoretical results.
R 4,451.85
Raspberry Pi GPU Audio Video Programming
Delve into the Broadcom VideoCore GPU used on the Raspberry Pi and master topics such as OpenGL ES and OpenMAX. Along the way, you’ll also learn some Dispmanx, OpenVG, and GPGPU programming.The author, Jan Newmarch bumped into a need to do this kind of programming while trying to turn the RPi into a karaoke machine: with the CPU busting its gut rendering MIDI files, there was nothing left for showing images such as karaoke lyrics except for the GPU, and nothing really to tell him how to do it.Raspberry Pi GPU Audio Video Programming scratches his itch and since he had to learn a lot about RPi GPU programming, he might as well share it with you. What started as a side issue turned into a full-blown project of its own; and this stuff is hard.What You'll LearnUse Dispmanx and EGL on Raspberry PiWork with OpenMAX and its components, state, IL Client Library, * * Buffers, and more on RPiProcess images and video on RPiHandle audio on RPiRender OpenMAX to OpenGL on the RPiPlay multimedia files on the RPiUse OpenVG for text processing and moreMaster overlaysWho This Book Is ForYou should be comfortable with C programming and at least some concurrency and thread programming using it. This book is for experienced programmers who are new or learning about Raspberry Pi.
R 2,025.81
R 365.00
Computing and the National Science Foundation, 1950-2016
This organizational history relates the role of the National Science Foundation (NSF) in the development of modern computing.Drawing upon new and existing oral histories, extensive use of NSF documents, and the experience of two of the authors as senior managers, this book describes how NSF's programmatic activities originated and evolved to become the primary source of funding for fundamental research in computing and information technologies.The book traces how NSF's support has provided facilities and education for computing usage by all scientific disciplines, aided in institution and professional community building, supported fundamental research in computer science and allied disciplines, and led the efforts to broaden participation in computing by all segments of society.Today, the research and infrastructure facilitated by NSF computing programs are significant economic drivers of American society and industry. For example, NSF supported work that led to the first widely-used web browser, Netscape; sponsored the creation of algorithms at the core of the Google search engine; facilitated the growth of the public Internet; and funded research on the scientific basis for countless other applications and technologies. NSF has advanced the development of human capital and ideas for future advances in computing and its applications.This account is the first comprehensive coverage of NSF's role in the extraordinary growth and expansion of modern computing and its use. It will appeal to historians of computing, policy makers and leaders in government and academia, and individuals interested in the history and development of computing and the NSF.
R 2,197.00
Computing Methods in Applied Sciences and Engineering
IRIA LABORIA, Institut de Recherche d'Informatique et d'Automatique
R 1,455.61
Computer Science and Education
This three-volume set constitues selected papers presented during the 17th International Conference on Computer Science and Education, ICCSE 2022, held in Ningbo, China, in August 2022.The 168 full papers and 43 short papers presented were thoroughly reviewed and selected from the 510 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.
R 4,712.50
Cloud Computing And Big Data Technology
This book comprehensively introduces the basic knowledge and main technologies of cloud computing and big data. It covers cloud computing, big data technology, virtualization technology, data centers, parallel computing and clustering technology, cloud storage technology, OpenStack, Hadoop, Spark, Storm, and cloud computing simulation.With a focus on practicality, this volume is enriched with experiments and closely integrates theory with practice, enabling readers to systematically and comprehensively understand cloud computing and big data technologies.This useful reference textbook benefits professionals, academics, researchers, graduate and undergraduate students in databases/information sciences.
R 3,965.47
Computational Science/Intelligence and Applied Informatics
This book presents the scientific outcome of the 4th ACIS International Conference on Computational Science/Intelligence & Applied Informatics (CSII 2017), which was held on July 9–13, 2017 in Hamamatsu, Japan. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science, to share their experiences and to exchange new ideas and information in a meaningful way. The book includes research findings concerning all aspects (theory, applications and tools) of computer and information science, and discusses the practical challenges encountered and the solutions adopted to address them.The book features 16 of the conference’s most promising papers, written by researchers who are expected to make significant contributions in the field of computer and information science.
R 3,554.20
Quantum Computing: Physics, Blockchains, And Deep Learning Smart Networks
Quantum information and contemporary smart network domains are so large and complex as to be beyond the reach of current research approaches. Hence, new theories are needed for their understanding and control. Physics is implicated as smart networks are physical systems comprised of particle-many items interacting and reaching criticality and emergence across volumes of macroscopic and microscopic states. Methods are integrated from statistical physics, information theory, and computer science. Statistical neural field theory and the AdS/CFT correspondence are employed to derive a smart network field theory (SNFT) and a smart network quantum field theory (SNQFT) for the orchestration of smart network systems. Specifically, a smart network field theory (conventional or quantum) is a field theory for the organization of particle-many systems from a characterization, control, criticality, and novelty emergence perspective.This book provides insight as to how quantum information science as a paradigm shift in computing may influence other high-impact digital transformation technologies, such as blockchain and machine learning. Smart networks refer to the idea that the internet is no longer simply a communications network, but rather a computing platform. The trajectory is that of communications networks becoming computing networks (with self-executing code), and perhaps ultimately quantum computing networks. Smart network technologies are conceived as autonomous self-operating computing networks. This includes blockchain economies, deep learning neural networks, autonomous supply chains, self-piloting driving fleets, unmanned aerial vehicles, industrial robotics cloudminds, real-time bidding for advertising, high-frequency trading networks, smart city IoT sensors, and the quantum internet.
R 5,708.54
R 305.00
Computer Science Illuminated
Designed for the introductory computing and computer science course, the student-friendly Computer Science Illuminated, Eighth Edition provides students with a solid foundation for further study, and offers non-majors a complete introduction to computing. Fully revised and updated, the eighth edition of this best-selling text retains the accessibility and in-depth coverage of previous editions, while incorporating all-new material on cutting-edge issues in computer science. Authored by the award-winning team Nell Dale and John Lewis, the text provides a unique and innovative layered approach, moving through the levels of computing from an organized, language-neutral perspective.
R 6,059.00
Collaborate Computing: Networking, Applications and Worksharing
This book constitutes the thoroughly refereed proceedings of the 12th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2016, held in Beijing, China, in November 2016. The 66 papers presented were carefully reviewed and selected from 116 submissions and focus on topics such as: participatory sensing, crowdsourcing, and citizen science; architectures, protocols, and enabling technologies for collaborative computing networks and systems; autonomic computing and quality of services in collaborative networks, systems, and applications; collaboration in pervasive and cloud computing environments; collaboration in data-intensive scientific discovery; collaboration in social media; big data and spatio-temporal data in collaborative environments/systems; collaboration techniques in data-intensive computing and cloud computing.
R 1,623.38
Complexity in Computer Science
Computational complexity theory is about the fundamental capabilities and limitations of efficient computation. Framing the subject in the broader context of computer science, this guidebook is both a self-contained tutorial for beginning graduate students in all areas of computer science and a thorough reference for specialists. Using only elementary discrete math, the book rigorously covers the central concepts of time, space, and randomness in computing, as well as connections to other areas of computer science such as cryptography and machine learning. Intuitions and general techniques are emphasized. The book features full proofs, numerous concrete examples and illustrations, and hundreds of exercises.
R 3,114.00
Probability and Computing
Greatly expanded, this new edition requires only an elementary background in discrete mathematics and offers a comprehensive introduction to the role of randomization and probabilistic techniques in modern computer science. Newly added chapters and sections cover topics including normal distributions, sample complexity, VC dimension, Rademacher complexity, power laws and related distributions, cuckoo hashing, and the Lovasz Local Lemma. Material relevant to machine learning and big data analysis enables students to learn modern techniques and applications. Among the many new exercises and examples are programming-related exercises that provide students with excellent training in solving relevant problems. This book provides an indispensable teaching tool to accompany a one- or two-semester course for advanced undergraduate students in computer science and applied mathematics.
R 3,017.00
Python, PyGame, and Raspberry Pi Game Development
Expand your basic knowledge of Python and use PyGame to create fast-paced video games with great graphics and sounds. This second edition shows how you can integrate electronic components with your games using the build-in general purpose input/output (GPIO) pins and some Python code to create two new games. You'll learn about object-oriented programming (OOP) as well as design patterns, such as model-view-controller (MVC) and finite-state machines (FSMs). Whether using Windows, macOS, Linux, or a Raspberry Pi, you can unleash the power of Python and PyGame to create great looking games. The book also includes complete code listings and explanations for "Bricks," "Snake," and "Invaders"—three fully working games. These allow you to get started in making your own great games and then modify them or build your own exciting titles. The concepts are further explained using games such as “Copycat,” where the player must concentrate and repeat the sequence of lights and sounds, and “Couch Quiz,” in which PyGame and electronic components create a quiz game for 2–4 players.What You’ll LearnGain basic knowledge of Python and employ it for game developmentStudy game projects you can use as templates, such as Bricks, Snake, and InvadersWork with user-defined functions, inheritance, composition, and aggregationImplement finite state machinesIntegrate your game with electronics using the GPIO pinsWho This Book Is ForExperienced coders or game developers new to Python, PyGame and Raspberry Pi would find this book helpful. It is also for beginners interested in getting into game development.
R 1,116.92
Intro to Python for Computer Science and Data Science
For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data science The Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired with extensive traditional supplements as well as Jupyter Notebooks supplements. Real-world datasets and artificial-intelligence technologies allow students to work on projects making a difference in business, industry, government and academia. Hundreds of examples, exercises, projects (EEPs), and implementation case studies give students an engaging, challenging and entertaining introduction to Python programming and hands-on data science. The book's modular architecture enables instructors to conveniently adapt the text to a wide range of computer-science and data-science courses offered to audiences drawn from many majors. Computer-science instructors can integrate as much or as little data-science and artificial-intelligence topics as they'd like, and data-science instructors can integrate as much or as little Python as they'd like. The book aligns with the latest ACM/IEEE CS-and-related computing curriculum initiatives and with the Data Science Undergraduate Curriculum Proposal sponsored by the National Science Foundation.
R 5,413.00
Mastering Media with the Raspberry Pi
Create and maintain Raspberry Pi-based entertainment systems in a comprehensive and fun manner. Instead of front-loading a bunch of theory and minutia, this book takes a more practical approach of showing what’s needed when it’s needed. You'll first explore the possibilities and options available. Then you'll learn the hardware and software requirements based on various builds and projects. Finally, you'll be guided through building media centers, music players, recording studios, etc. Mastering Media with the Raspberry Pi presents all of this and more in an easy-to-understand-and-accomplish way, in plain English. What you'll learn: Choose the right Pi model for your project Enhance your media center with peripherals and add onsGet the most from your music and other mediaUnderstand the various major media formats out there and how to work with each Who this book is for Students and hobbyists interested in building media centers out of their Raspberry Pis.
R 866.00
IPython Interactive Computing and Visualization Cookbook
Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists...Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.
R 1,889.00
Topics in Parallel and Distributed Computing
Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula.
R 2,353.00
Strumenti open source per l'analisi dei dati fisici
Lo scopo di questo libro di testo è quello di fornire competenze informatiche per analizzare dati raccolti tramite diversi tipi di esperimenti. In generale, l'analisi dei dati è complementare alle attività sperimentali e/o teoriche, ma, di fatto, una parte fondamentale del processo formativo nei corsi di laurea scientifica (come Fisica, Matematica, Chimica, Biologia e Ingegneria) consiste in diverse attività di laboratorio, raccogliendo dati e poi analizzandoli e interpretandoli. Sono disponibili diversi strumenti di analisi per questo scopo, tra cui quelli commerciali e open source. Alcuni di essi consentono di analizzare i dati in modo intuitivo e possono essere utili per il primo approccio di uno studente a un problema di analisi dei dati, ma, allo stesso tempo, rappresentano un limite alle reali possibilità che gli studenti possono raggiungere utilizzando le potenzialità di calcolo offerte da una buona conoscenza dei linguaggi di programmazione. Per questo motivo, almeno un corso di informatica è generalmente presente nei corsi di laurea scientifica, così come nei laboratori sperimentali in cui parte del tempo di formazione è dedicato all'analisi e alla visualizzazione dei dati.Una parte del libro è dedicata a fornire i rudimenti della programmazione in C++, Python e altri linguaggi open source. Nella seconda parte, Root, un potente framework di analisi dei dati open source, e l'universo delle librerie Python saranno introdotti come uno strumento completo per l'analisi dei dati, così come la loro applicazione ed esempi riguardanti esperimenti di fisica eseguiti in laboratorio.
R 2,374.68
Telematics and Computing
This two-volume set CCIS 3228-3229 constitutes the proceedings of the 15th International Conference on Telematics and Computing, WITCOM 2026, held in Huatulco, Mexico, during November 2–6, 2026.The 64 full papers included in this book were carefully reviewed and selected from 139 submissions. The proceedings cover advances in Artificial Intelligence, Data Science, IoT, Information Systems, Cybersecurity, Environmental Monitoring, Education, Energy, Robotics, and Telecommunications, with applications across diverse real-world and experimental case studies.
R 3,366.88
Handbook of Nature-Inspired and Innovative Computing
As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.
R 4,727.01
R 540.27
High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production
This book constitutes selected revised and extended papers from the 11th International Conference on High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production, HPCST 2021, Barnaul, Russia, in May 2021. The 32 full papers presented in this volume were thoroughly reviewed and selected form 98 submissions. The papers are organized in topical sections on Hardware for High-Performance Computing and Signal Processing; Information Technologies and Computer Simulation of Physical Phenomena; Computing Technologies in Discrete Mathematics and Decision Making; Information and Computing Technologies in Automation and Control Science; and Computing Technologies in Information Security Applications.
R 3,913.51
Handbook of Nature-Inspired and Innovative Computing
As computing devices proliferate, demand increases for an understanding of emerging computing paradigms and models based on natural phenomena. Neural networks, evolution-based models, quantum computing, and DNA-based computing and simulations are all a necessary part of modern computing analysis and systems development. Vast literature exists on these new paradigms and their implications for a wide array of applications. This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.
R 5,509.47
Nanotechnology: Science and Computation
Nanoscale science and computing is becoming a major research area as today's scientists try to understand the processes of natural and biomolecular computing. The field is concerned with the architectures and design of molecular self-assembly, nanostructures and molecular devices, and with understanding and exploiting the computational processes of biomolecules in nature. This book offers a unique and authoritative perspective on current research in nanoscale science, engineering and computing. Leading researchers cover the topics of DNA self-assembly in two-dimensional arrays and three-dimensional structures, molecular motors, DNA word design, molecular electronics, gene assembly, surface layer protein assembly, and membrane computing.The book is suitable for academic and industrial scientists and engineers working in nanoscale science, in particular researchers engaged with the idea of computing at a molecular level.
R 3,919.12
Computational Science and High Performance Computing II
This volume contains 27 contributions to the Second Russian-German Advanced Research Workshop on Computational Science and High Performance Computing presented in March 2005 at Stuttgart, Germany. Contributions range from computer science, mathematics and high performance computing to applications in mechanical and aerospace engineering.
R 8,059.00
Introduction to Bioinformatics and Clinical Scientific Computing
This textbook provides an introduction to computer science theory, informatics best practice, and the standards and legislation that apply to computing in a healthcare environment. It delivers an accessible discussion of databases (construction, interrogation and maintenance); networking (design and low-level application); programming (best practice rather than the specifics of any one language – design, maintenance, safety). It can be used to accompany the NHS Modernising Scientific Careers syllabus. It is also targeted towards those creating software rather than those using it, particularly computer scientists working in healthcare, specifically those in or close to the Physical Sciences, including radiotherapy, nuclear medicine, and equipment management and those working with genomics and health informatics. Features Combines all topics into one comprehensive introduction. Explores practical applications of theory to healthcare. Can be used to accompany the NHS Modernising Scientific Careers syllabus.
R 5,165.00
Computing and the National Science Foundation, 1950-2016
This organizational history relates the role of the National Science Foundation (NSF) in the development of modern computing.Drawing upon new and existing oral histories, extensive use of NSF documents, and the experience of two of the authors as senior managers, this book describes how NSF's programmatic activities originated and evolved to become the primary source of funding for fundamental research in computing and information technologies.The book traces how NSF's support has provided facilities and education for computing usage by all scientific disciplines, aided in institution and professional community building, supported fundamental research in computer science and allied disciplines, and led the efforts to broaden participation in computing by all segments of society.Today, the research and infrastructure facilitated by NSF computing programs are significant economic drivers of American society and industry. For example, NSF supported work that led to the first widely-used web browser, Netscape; sponsored the creation of algorithms at the core of the Google search engine; facilitated the growth of the public Internet; and funded research on the scientific basis for countless other applications and technologies. NSF has advanced the development of human capital and ideas for future advances in computing and its applications.This account is the first comprehensive coverage of NSF's role in the extraordinary growth and expansion of modern computing and its use. It will appeal to historians of computing, policy makers and leaders in government and academia, and individuals interested in the history and development of computing and the NSF.
R 1,464.00
Large-Scale Scientific Computing
Thepapersinthis volumewerepresentedatthe4thInternationalConferenceon Large-Scale Scienti?c Computations ICLSSC 2003. It was held in Sozopol, B- garia, June 4-8, 2003. The conference was organized and sponsored by the C- tral Laboratory for Parallel Processing at the Bulgarian Academy of Sciences. Support was also provided from the Center of Excellence "BIS 21" (funded by the European Commission), SIAM and GAMM. A co-organizer of this tra- tional scienti?c meeting was the Division of Numerical Analysis and Statistics of the University of Rousse. The success of the conference and the present volume in particular are the outcome of the joint e?orts of many colleagues from various institutions and organizations. First thanks to all the members of the Scienti?c Committee for their valuable contribution to forming the scienti?c face of the conference, as well as for their help in reviewing contributed papers. We would like to specially thank the organizers of the special sessions: R. Blaheta, N. Dimitrova, A. Ebel, K. Georgiev, O. Iliev, A. Karaivanova, H. Kosina, M. Krastanov, U. Langer, P. Minev, M. Neytcheva, M. Sch. afer, V. Veliov, and Z. Zlatev. We are also grateful to the sta? involved in the local organization.Special Events: - The conference was devoted to the 60th anniversary of Raytcho Lazarov. - During the conference, the nomination for the World Level of the Hall of Fame for Engineering, Science and Technology, HOFEST, was o?cially awarded to Owe Axelsson.
R 2,015.00
R 4,274.00
Applied Parallel and Scientific Computing
The two volume set LNCS 7133 and LNCS 7134 constitutes the thoroughly refereed post-conference proceedings of the 10th International Conference on Applied Parallel and Scientific Computing, PARA 2010, held in Reykjavík, Iceland, in June 2010. These volumes contain three keynote lectures, 29 revised papers and 45 minisymposia presentations arranged on the following topics: cloud computing, HPC algorithms, HPC programming tools, HPC in meteorology, parallel numerical algorithms, parallel computing in physics, scientific computing tools, HPC software engineering, simulations of atomic scale systems, tools and environments for accelerator based computational biomedicine, GPU computing, high performance computing interval methods, real-time access and processing of large data sets, linear algebra algorithms and software for multicore and hybrid architectures in honor of Fred Gustavson on his 75th birthday, memory and multicore issues in scientific computing - theory and praxis, multicore algorithms and implementations for application problems, fast PDE solvers and a posteriori error estimates, and scalable tools for high performance computing.
R 2,015.00
Probability in Electrical Engineering and Computer Science
This revised textbook motivates and illustrates the techniques of applied probability by applications in electrical engineering and computer science (EECS). The author presents information processing and communication systems that use algorithms based on probabilistic models and techniques, including web searches, digital links, speech recognition, GPS, route planning, recommendation systems, classification, and estimation. He then explains how these applications work and, along the way, provides the readers with the understanding of the key concepts and methods of applied probability. Python labs enable the readers to experiment and consolidate their understanding. The book includes homework, solutions, and Jupyter notebooks. This edition includes new topics such as Boosting, Multi-armed bandits, statistical tests, social networks, queuing networks, and neural networks. For ancillaries related to this book, including examples of Python demos and also Python labs used in Berkeley, please email Mary James at mary.james@springer.com.This is an open access book.
R 1,649.00
Informatics in Schools. Fundamentals of Computer Science and Software Engineering
This book constitutes the proceedings of the 11th International Conference on Informatics in Schools: Situation, Evolution and Perspectives, ISSEP 2018, held in St. Petersburg, Russia, in October 2018.The 29 full papers presented in this volume were carefully reviewed and selected from 74 submissions. They were organized in topical sections named: role of programming and algorithmics in informatics for pupils of all ages; national concepts of teaching informatics; teacher education in informatics; contests and competitions in informatics; socio-psychological aspects of teaching informatics; and computer tools in teaching and studying informatics.
R 2,191.38
Computing Science, Communication and Security
This book constitutes revised selected papers of the First International Conference on Computing Science, Communication and Security, COMS2 2020, held in March 2020. Due to the COVID-19 pandemic the conference was held virtually. The 26 full papers and 1 short paper were thoroughly reveiwed and selected from 79 submissions. Papers are organised according to the topical sections on artificial intelligence and machine learning; network, communication and security; computing science.
R 2,185.79
Computational and Information Technologies in Science, Engineering and Education
This book constitutes the refereed proceedings of the 9th International Conference on Computational and Information Technologies in Science, Engineering and Education, CITech 2018, held in Ust-Kamenogorsk, Kazakhstan, in September 2018.The 25 revised full papers presented were carefully reviewed and selected from 64 submissions. The papers address issues such as mathematical and computer modeling, fundamental problems of mathematics, technological aspects of the applications of parallel computer systems, high level parallel programming languages and systems.
R 1,550.49
Distributed Computing to Blockchain
Distributed Computing to Blockchain: Architecture, Technology, and Applications provides researchers, computer scientists, and data scientists with a comprehensive and applied reference covering the evolution of distributed systems computing into blockchain and associated systems. Divided into three major sections, the book explores the basic topics in the blockchain space extending from distributed systems architecture, distributed ledger, decentralized web to introductory aspects of cryptoeconomics (cryptography and economics) of decentralized applications. The book further explores advanced concepts such as smart contracts; distributed token mining, initial coin offerings; proof of work; public, private, and other blockchains; cryptography; security; and blockchains. The book goes on to review byzantine fault tolerance, distributed ledgers versus blockchains, and blockchain protocols. The final section covers multiple use cases and applications of distributed computing and the future directions for blockchains.
R 5,002.00
