Название: Implementing Parallel and Distributed Systems
Автор: Alireza Poshtkohi, M.B. Ghaznavi-Ghoushchi
Издательство: CRC Press
Год: 2023
Страниц: 426
Язык: английский
Формат: pdf (true)
Размер: 22.1 MB

Parallel and distributed systems (PADS) have evolved from the early days of computational science and supercomputers to a wide range of novel computing paradigms, each of which is exploited to tackle specific problems or application needs, including distributed systems, parallel computing, and cluster computing, generally called high-performance computing (HPC). Grid, Cloud, and Fog computing patterns are the most important of these PADS paradigms, which share common concepts in practice. This book covers parallel programming models, techniques, tools, development frameworks, and advanced concepts of parallel computer systems used in the construction of distributed and HPC systems. It specifies a roadmap for developing high-performance client-server applications for distributed environments and supplies step-by-step procedures for constructing a native and object-oriented C++ platform.

Название: Построение пользовательских интерфейсов
Автор: Малышев К. В.
Издательство: ДMK
Год: 2021
Cтраниц: 268
Формат: pdf
Размер: 12 мб
Язык: русский

Интерфейс — лицо электронного продукта. Лицо успешных сайтов, приложений и программ вызывает у пользователей доверие и симпатию. Построение пользовательских интерфейсов — интересная и многогранная работа. Эта книга будет полезна всем, кто участвует в работе над созданием электронных продуктов. Вы начинающий дизайнер интерфейсов?

Название: Comprehensive Metaheuristics: Algorithms and Applications
Автор: Seyedali Mirjalili, Amir H. Gandomi
Издательство: Academic Press/Elsevier
Год: 2023
Страниц: 468
Язык: английский
Формат: pdf (true)
Размер: 22.0 MB

Comprehensive Metaheuristics: Algorithms and Applications presents the foundational underpinnings of metaheuristics and a broad scope of algorithms and real-world applications across a variety of research fields. The book starts with fundamentals, mathematical prerequisites, and conceptual approaches to provide readers with a solid foundation. After presenting multi-objective optimization, constrained optimization, and problem formation for metaheuristics, world-renowned authors give readers in-depth understanding of the full spectrum of algorithms and techniques. Scientists, researchers, academicians, and practitioners who are interested in optimizing a process or procedure to achieve a goal will benefit from the case studies of real-world applications from different domains. The book takes a much-needed holistic approach, putting the most widely used metaheuristic algorithms together with an in-depth treatise on multi-disciplinary applications of metaheuristics.

Название: Agile Software Development: Trends, Challenges and Applications
Автор: Susheela Hooda, Vandana Mohindru Sood, Yashwant Singh, Sandeep Dalal
Издательство: Wiley-Scrivener
Год: 2023
Страниц: 388
Язык: английский
Формат: pdf (true)
Размер: 11.0 MB

A unique title that introduces the whole range of Agile software development processes from the fundamental concepts to the highest levels of applications such as requirement analysis, software testing, quality assurance, and risk management. Agile Software Development (ASD) has become a popular technology because its methods apply to any programming paradigm. It is important in the software development process because it emphasizes incremental delivery, team collaboration, continuous planning, and learning over delivering everything at once near the end. Agile has gained popularity as a result of its use of various frameworks, methods, and techniques to improve software quality. Scrum is a major agile framework that has been widely adopted by the software development community. Metaheuristic techniques have been used in the agile software development process to improve software quality and reliability. These techniques not only improve quality and reliability but also test cases, resulting in cost-effective and time-effective software. With the use of diverse techniques, guiding principles, Artificial Intelligence, soft computing, and Machine Learning, this book seeks to study theoretical and technological research findings on all facets of ASD.

Название: Coding Interviews: Advanced Guide to Help You Excel at Coding Interviews
Автор: Logan Pratt
Издательство: Independently published
Год: 2022
Страниц: 180
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

The ultimate guide to help you ace your coding interview! Coding interviews really are just interviews for a job, but they differ in that they are incredibly technical, and you need to know how to solve programs, turn your solutions into working code and make sure your solution is the best it can be – without making any mistakes. Coding interviews are typically several rounds, and each round needs its own specific preparation. You have no idea what questions you are likely to be asked, which is why I have written his guide. What is the best programming language to use in your coding interview? And does it even matter which one you use? The short answer to that is yes, it does matter. Most companies will allow you to use a programming language of your choice unless they use a specific one. The only real exception to that is Google, where candidates must choose between Python, Java, jаvascript, and C++. However, the language you choose can impact your performance more than you would believe possible. This is why choosing the right programming language at the start of your interview preparation is critical, as is using it regularly to get used to it.

Название: Непрерывное развитие API. Правильные решения в изменчивом технологическом ландшафте, 2-е издание
Автор: Меджуи Мехди, Уайлд Эрик, Митра Ронни, Амундсен Майк
Издательство: Питер
Год: 2023
Формат: pdf
Страниц: 369
Размер: 17,7 Мб
Язык: русский

Для реализации API необходимо провести большую работу, но эти усилия не всегда окупаются. Чрезмерное планирование может стать пустой тратой сил, а его недостаток приводит к катастрофическим последствиям. Во втором издании представлены решения для отдельных API и систем из нескольких API, которые позволят вам распределить необходимые ресурсы и достичь требуемого уровня эффективности за оптимальное время. Как соблюсти баланс гибкости и производительности, сохранив надежность и простоту настройки? Четыре эксперта по API объясняют разработчикам, руководителям продуктов и проектов, как максимально увеличить ценность их API, управляя интерфейсами как продуктами с непрерывным жизненным циклом.

Название: Machine Learning and Deep Learning in Computational Toxicology
Автор: Huixiao Hong
Издательство: Springer
Год: 2023
Страниц: 654
Язык: английский
Формат: pdf (true)
Размер: 19.5 MB

This book is a collection of Machine Learning and Deep Learning algorithms, methods, architectures, and software tools that have been developed and widely applied in predictive toxicology. It compiles a set of recent applications using state-of-the-art Machine Learning and Deep Learning techniques in analysis of a variety of toxicological endpoint data. The contents illustrate those Machine Learning and Deep Learning algorithms, methods, and software tools and summarise the applications of Machine Learning and Deep Learning in predictive toxicology with informative text, figures, and tables that are contributed by the first tier of experts. One of the major features is the case studies of applications of Machine Learning and Deep Learning in toxicological research that serve as examples for readers to learn how to apply Machine Learning and Deep Learning techniques in predictive toxicology. This book is expected to provide a reference for practical applications of Machine Learning and Deep Learning in toxicological research.

Название: Programming Languages: Build, Prove, and Compare
Автор: Norman Ramsey
Издательство: Cambridge University Press
Год: 2023
Страниц: 800
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Computer scientists often need to learn new programming languages quickly. The best way to prepare for this is to understand the foundational principles that underlie even the most complicated industrial languages. This text for an undergraduate programming languages course distills great languages and their design principles down to easy-to-learn 'bridge' languages implemented by interpreters whose key parts are explained in the text. The book goes deep into the roots of both functional and object-oriented programming, and it shows how types and modules, including generics/polymorphism, contribute to effective programming. The book is not just about programming languages; it is also about programming. The ideas, descriptive techniques, and examples are conveyed by means of bridge languages. A bridge language models a real programming language, but it is small enough to describe formally and to learn in a week or two, yet big enough to write interesting programs in. The bridge languages in this book model Algol, Scheme, ML, CLU, and Smalltalk, and they are related to many modern descendants, including C, C++, OCaml, Haskell, Java, jаvascript, Python, Ruby, and Rust.

Название: Learning Modern C++ for Finance: Foundations for Quantitative Programming (Fourth Early Release)
Автор: Daniel Hanson
Издательство: O’Reilly Media, Inc.
Год: 2023-02-08
Страниц: 204
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.18 MB

A lot of financial modeling has gravitated toward Python, R, and VBA, but many developers hit a wall with these languages when it comes to performance. This practical book demonstrates why C++ is still one of the dominant production-quality languages for financial applications and systems. Many programmers believe that C++ is too difficult to learn. Author Daniel Hanson demonstrates that this is no longer the case. Financial programmers coming from Python or another interpreted language will discover how to leverage C++ abstractions that enable safer and quicker implementation of financial models. You'll also explore how popular open source libraries provide additional weapons for attacking mathematical problems. C++ programmers unfamiliar with financial applications will also benefit from this handy guide.

Название: Reinforcement Learning for Finance: Solve Problems in Finance with CNN and RNN Using the TensorFlow Library
Автор: Samit Ahlawat
Издательство: Apress
Год: 2023
Страниц: 435
Язык: английский
Формат: pdf (true), epub (true)
Размер: 37.3 MB

This book introduces reinforcement learning with mathematical theory and practical examples from quantitative finance using the TensorFlow library. Reinforcement Learning for Finance begins by describing methods for training neural networks. Next, it discusses CNN and RNN – two kinds of neural networks used as deep learning networks in reinforcement learning. Further, the book dives into reinforcement learning theory, explaining the Markov decision process, value function, policy, and policy gradients, with their mathematical formulations and learning algorithms. It covers recent reinforcement learning algorithms from double deep-Q networks to twin-delayed deep deterministic policy gradients and generative adversarial networks with examples using the TensorFlow Python library. It also serves as a quick hands-on guide to TensorFlow programming, covering concepts ranging from variables and graphs to automatic differentiation, layers, models, and loss functions.