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Author: Michael D. Adams Publisher: Michael Adams ISBN: 0987919741 Category : Computers Languages : en Pages : 2901
Book Description
This document, which consists of approximately 2900 lecture slides, offers a wealth of information on many topics relevant to programming in C++, including coverage of the C++ language itself, the C++ standard library and a variety of other libraries, numerous software tools, and an assortment of other programming-related topics. The coverage of the C++ language and standard library is current with the C++20 standard. C++ PROGRAMMING LANGUAGE. Many aspects of the C++ language are covered from introductory to more advanced. This material includes: the preprocessor, language basics (objects, types, values, operators, expressions, control-flow constructs, functions, namespaces, and comparison), classes, templates (function, class, variable, and alias templates, variadic templates, template specialization, and SFINAE), concepts, lambda expressions, inheritance (run-time polymorphism and CRTP), exceptions (exception safety and RAII), smart pointers, memory management (new and delete operators and expressions, placement new, and allocators), rvalue references (move semantics and perfect forwarding), coroutines, concurrency (memory models, and happens-before and synchronizes-with relationships), modules, compile-time computation, and various other topics (e.g., copy elision and initialization). C++ STANDARD LIBRARY AND VARIOUS OTHER LIBRARIES. Various aspects of the C++ standard library are covered including: containers, iterators, algorithms, ranges, I/O streams, time measurement, and concurrency support (threads, mutexes, condition variables, promises and futures, atomics, and fences). A number of Boost libraries are discussed, including the Intrusive, Iterator, and Container libraries. The OpenGL library and GLSL are discussed at length, along with several related libraries, including: GLFW, GLUT, and GLM. The CGAL library is also discussed in some detail. SOFTWARE TOOLS. A variety of software tools are discussed, including: static analysis tools (e.g., Clang Tidy and Clang Static Analyzer), code sanitizers (e.g., ASan, LSan, MSan, TSan, and UBSan), debugging and testing tools (e.g., Valgrind, LLVM XRay, and Catch2), performance analysis tools (e.g., Perf, PAPI, Gprof, and Valgrind/Callgrind), build tools (e.g., CMake and Make), version control systems (e.g., Git), code coverage analysis tools (e.g., Gcov, LLVM Cov, and Lcov), online C++ compilers (e.g., Compiler Explorer and C++ Insights), and code completion tools (e.g., YouCompleteMe, and LSP clients/servers). OTHER TOPICS. An assortment of other programming-related topics are also covered, including: data structures, algorithms, computer arithmetic (e.g., floating-point arithmetic and interval arithmetic), cache-efficient algorithms, vectorization, good programming practices, software documentation, software testing (e.g., static and dynamic testing, and structural coverage analysis), and compilers and linkers (e.g., Itanium C++ ABI).
Author: Michael D. Adams Publisher: Michael Adams ISBN: 0987919741 Category : Computers Languages : en Pages : 2901
Book Description
This document, which consists of approximately 2900 lecture slides, offers a wealth of information on many topics relevant to programming in C++, including coverage of the C++ language itself, the C++ standard library and a variety of other libraries, numerous software tools, and an assortment of other programming-related topics. The coverage of the C++ language and standard library is current with the C++20 standard. C++ PROGRAMMING LANGUAGE. Many aspects of the C++ language are covered from introductory to more advanced. This material includes: the preprocessor, language basics (objects, types, values, operators, expressions, control-flow constructs, functions, namespaces, and comparison), classes, templates (function, class, variable, and alias templates, variadic templates, template specialization, and SFINAE), concepts, lambda expressions, inheritance (run-time polymorphism and CRTP), exceptions (exception safety and RAII), smart pointers, memory management (new and delete operators and expressions, placement new, and allocators), rvalue references (move semantics and perfect forwarding), coroutines, concurrency (memory models, and happens-before and synchronizes-with relationships), modules, compile-time computation, and various other topics (e.g., copy elision and initialization). C++ STANDARD LIBRARY AND VARIOUS OTHER LIBRARIES. Various aspects of the C++ standard library are covered including: containers, iterators, algorithms, ranges, I/O streams, time measurement, and concurrency support (threads, mutexes, condition variables, promises and futures, atomics, and fences). A number of Boost libraries are discussed, including the Intrusive, Iterator, and Container libraries. The OpenGL library and GLSL are discussed at length, along with several related libraries, including: GLFW, GLUT, and GLM. The CGAL library is also discussed in some detail. SOFTWARE TOOLS. A variety of software tools are discussed, including: static analysis tools (e.g., Clang Tidy and Clang Static Analyzer), code sanitizers (e.g., ASan, LSan, MSan, TSan, and UBSan), debugging and testing tools (e.g., Valgrind, LLVM XRay, and Catch2), performance analysis tools (e.g., Perf, PAPI, Gprof, and Valgrind/Callgrind), build tools (e.g., CMake and Make), version control systems (e.g., Git), code coverage analysis tools (e.g., Gcov, LLVM Cov, and Lcov), online C++ compilers (e.g., Compiler Explorer and C++ Insights), and code completion tools (e.g., YouCompleteMe, and LSP clients/servers). OTHER TOPICS. An assortment of other programming-related topics are also covered, including: data structures, algorithms, computer arithmetic (e.g., floating-point arithmetic and interval arithmetic), cache-efficient algorithms, vectorization, good programming practices, software documentation, software testing (e.g., static and dynamic testing, and structural coverage analysis), and compilers and linkers (e.g., Itanium C++ ABI).
Author: Michael D. Adams Publisher: Michael Adams ISBN: 098791975X Category : Computers Languages : en Pages : 162
Book Description
This book presents a large collection of exercises for learning to program in C++. A study plan for learning C++ based on a collection of video lectures and supplemental reading is also provided.
Author: Dana Fisman Publisher: Springer Nature ISBN: 3030995240 Category : Computers Languages : en Pages : 583
Book Description
This open access book constitutes the proceedings of the 28th International Conference on Tools and Algorithms for the Construction and Analysis of Systems, TACAS 2022, which was held during April 2-7, 2022, in Munich, Germany, as part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2022. The 46 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 159 submissions. The proceedings also contain 16 tool papers of the affiliated competition SV-Comp and 1 paper consisting of the competition report. TACAS is a forum for researchers, developers, and users interested in rigorously based tools and algorithms for the construction and analysis of systems. The conference aims to bridge the gaps between different communities with this common interest and to support them in their quest to improve the utility, reliability, exibility, and efficiency of tools and algorithms for building computer-controlled systems.
Author: Dominik Kowald Publisher: Frontiers Media SA ISBN: 2832547664 Category : Science Languages : en Pages : 133
Book Description
Frontiers in Big Data is delighted to present the ‘Reviews in Recommender Systems’ series of article collections. Reviews in Recommender Systems will publish high-quality scholarly review papers on key topics in recommender systems and their applications in our everyday lives, in search engines, online retail, news, entertainment, travel, social networks, and much more. It aims to highlight recent advances in the field, whilst emphasizing important directions and new possibilities for future inquiries. We anticipate the research presented will promote discussion in the Big Data community that will translate to best practice applications in further research, industry, real-world implementations, public health, and policy settings.
Author: Mahmoud Publisher: Orange Education Pvt Ltd ISBN: 8196994737 Category : Computers Languages : en Pages : 769
Book Description
Building Tomorrow's Systems Today the Rust Way KEY FEATURES ● Learn how to use Rust libraries effectively for various applications and projects. ● Go from basics to advanced system-building skills for stronger and reliable outcomes. ● Secure your Rust applications confidently with expert tips for enhanced protection. DESCRIPTION This book is your guide to mastering Rust programming, equipping you with essential skills and insights for efficient system programming. It starts by introducing Rust's significance in the system programming domain and highlighting its advantages over traditional languages like C/C++. You'll then embark on a practical journey, setting up Rust on various platforms and configuring the development environment. From writing your first "Hello, World!" program to harness the power of Rust's package manager, Cargo, the book ensures a smooth initiation into the language. Delving deeper, the book covers foundational concepts, including variables, data types, control flow, functions, closures, and crucial memory management aspects like ownership, borrowing, and lifetimes. Special attention is given to Rust's strict memory safety guarantees, guiding you in writing secure code with the assistance of the borrow checker. The book extends its reach to Rust collections, error-handling techniques, and the complexities of concurrency management. From threads and synchronization primitives like Mutex and RwLock to asynchronous programming with async/await and the Tokio library, you'll gain a comprehensive understanding of Rust's capabilities. This book covers it all. WHAT WILL YOU LEARN ● Learn how to set up the Rust environment effortlessly, ensuring a streamlined development process. ● Explore advanced concepts in Rust, including traits, generics, and various collection types, expanding your programming expertise. ● Master effective error-handling techniques, empowering you to create custom error types for enhanced code robustness. ● Tackle the complexities of memory management, smart pointers, and delve into the complexities of concurrency in Rust. ● Gain hands-on experience by building command-line utilities, sharpening your practical skills in real-world scenarios. ● Master the use of iterators and closures, ensuring code reliability through comprehensive unit testing practices. WHO IS THIS BOOK FOR? This book is tailored for aspiring programmers, software developers, system engineers, and computer scientists looking to dive into system programming with Rust. It caters to a broad spectrum of individuals and professionals interested in leveraging Rust's power to build robust and efficient applications. While no prior experience with Rust is necessary, a basic understanding of programming concepts and familiarity with at least one programming language would be beneficial. TABLE OF CONTENTS 1. Systems Programming with Rust 2. Basics of Rust 3. Traits and Generics 4. Rust Built-In Data Structures 5. Error Handling and Recovery 6. Memory Management and Pointers 7. Managing Concurrency 8. Command Line Programs 9. Working with Devices I/O in Rust 10. Iterators and Closures 11. Unit Testing in Rust 12. Network Programming 13. Unsafe Coding in Rust 14. Asynchronous Programming 15. Web Assembly with Rust Index
Author: Alberto Griggio Publisher: TU Wien Academic Press ISBN: 3854480539 Category : Computers Languages : en Pages : 405
Book Description
The Conference on Formal Methods in Computer-Aided Design (FMCAD) is an annual conference on the theory and applications of formal methods in hardware and system in academia and industry for presenting and discussing groundbreaking methods, technologies, theoretical results, and tools for reasoning formally about computing systems. FMCAD covers formal aspects of computer-aided system testing.
Author: André Greiner-Petter Publisher: Springer Nature ISBN: 3658404736 Category : Technology & Engineering Languages : en Pages : 209
Book Description
This Open-Access-book addresses the issue of translating mathematical expressions from LaTeX to the syntax of Computer Algebra Systems (CAS). Over the past decades, especially in the domain of Sciences, Technology, Engineering, and Mathematics (STEM), LaTeX has become the de-facto standard to typeset mathematical formulae in publications. Since scientists are generally required to publish their work, LaTeX has become an integral part of today's publishing workflow. On the other hand, modern research increasingly relies on CAS to simplify, manipulate, compute, and visualize mathematics. However, existing LaTeX import functions in CAS are limited to simple arithmetic expressions and are, therefore, insufficient for most use cases. Consequently, the workflow of experimenting and publishing in the Sciences often includes time-consuming and error-prone manual conversions between presentational LaTeX and computational CAS formats. To address the lack of a reliable and comprehensive translation tool between LaTeX and CAS, this thesis makes the following three contributions. First, it provides an approach to semantically enhance LaTeX expressions with sufficient semantic information for translations into CAS syntaxes. Second, it demonstrates the first context-aware LaTeX to CAS translation framework LaCASt. Third, the thesis provides a novel approach to evaluate the performance for LaTeX to CAS translations on large-scaled datasets with an automatic verification of equations in digital mathematical libraries. This is an open access book.
Author: Kevin P. Murphy Publisher: MIT Press ISBN: 0262048434 Category : Computers Languages : en Pages : 1352
Book Description
An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty. An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning. Covers generation of high dimensional outputs, such as images, text, and graphs Discusses methods for discovering insights about data, based on latent variable models Considers training and testing under different distributions Explores how to use probabilistic models and inference for causal inference and decision making Features online Python code accompaniment
Author: Michael D. Adams
Author: Michael D. Adams
Author: Michael D. Adams
Author: Wei Cheng
Author: Dana Fisman
Author: Dominik Kowald
Author: Mahmoud
Author: Alberto Griggio
Author: André Greiner-Petter
Author: 
Author: Kevin P. Murphy