Название: An Introduction to Theory of Computation: An Algorithmic Approach
Автор: Mitsunori Ogihara
Издательство: Springer
Год: 2025
Страниц: 388
Язык: английский
Формат: pdf (true), epub
Размер: 32.4 MB

This textbook aims to provide a comprehensive introduction to the theory of computation for upper-level undergraduate students and first-year graduate students in Computer Science and related disciplines. It covers a wide range of foundational topics essential for understanding the principles and applications of computation. The book begins with regular languages, exploring finite automata, nondeterministic finite automata, regular expressions, and the equivalence among these apparatuses. It explores state minimization and the Myhill-Nerode Theorem, offering techniques such as pumping lemmas to identify non-regular languages and using the Myhill-Nerode Theorem for non-regularity proofs. Additionally, the closure properties of regular languages are examined. Context-free languages are another focal point, where the text discusses context-free grammars, Chomsky normal form grammars, pushdown automata, and their equivalences. The book includes pumping lemmas and closure properties using CNF grammars and PDA analysis, as well as identifying non-context-free languages and understanding leftmost derivations. Turing machine models are thoroughly covered, with various models and simulations explained. The book outlines configurations, the Church-Turing Thesis, and differentiates between recursive and recursively enumerable languages.

Название: Computer Graphics with Multimedia: Basic and Fundamental Concepts
Автор: Dharamdas Kumhar, Avanish Kumar
Издательство: Arcler Press
Год: 2025
Страниц: 310
Язык: английский
Формат: pdf (true)
Размер: 46.8 MB

Computer graphics and multimedia are foundational elements in modern technology, enhancing user interfaces, animation, and visual communication. This book introduces the basic principles of computer graphics, including rendering, modeling, and image processing. It also explores multimedia concepts such as audio-visual integration and interactivity, illustrating real-world applications in gaming, film, and education. This book is an attempt to organize computer graphics concepts, ideas and methods in a clear, concise, and easily understandable form. The basic approach adopted in the preparation of this book is simple and elementary. At each stage, detailed experiments are given along with suitable figures to explain the concepts to the reader. Designed for students and professionals, the book offers a comprehensive understanding of how computer graphics and multimedia shape the digital landscape.

Название: Accelerate Software Delivery with Shift-Left Testing
Автор: Nagappan Muthupalaniappan
Издательство: Independently published
Год: October 5, 2024
Страниц: 178
Язык: английский
Формат: pdf
Размер: 10.1 MB

Revolutionize your software development process with shift-left testing. In today's fast-paced digital landscape, delivering high-quality software rapidly is imperative. Accelerate Software Delivery with Shift-Left Testing provides a comprehensive roadmap for organizations seeking to transform their development processes. This practical guide empowers teams to embed quality into every stage of the software lifecycle, from inception to deployment. Discover how to break down silos, foster collaboration, and leverage automation to achieve unprecedented levels of speed, efficiency, and customer satisfaction. The software testing sector is expected to adopt novel approaches in the future, such as incorporating AI and ML into testing, putting more emphasis on security tests, and dealing with the issues that come up with new technologies like blockchain and the Internet of Things (IoT). The industry will be able to satisfy the constantly increasing demands of software development thanks to this continual innovation.

Название: Securing the AWS Cloud: A Guide for Learning to Secure AWS Infrastructure
Автор: Brandon Carroll
Издательство: Wiley
Год: 2025
Страниц: 384
Язык: английский
Формат: epub (true)
Размер: 27.9 MB

Make your next Amazon Web Services deployment secure and private. Dive into the world of cloud security with Securing the AWS Cloud: A Guide for Learning to Secure AWS Infrastructure by Brandon Carroll, a comprehensive guide crafted for those eager to fortify their Amazon Web Services (AWS) deployments. Whether you are starting from scratch or looking to enhance an existing setup, this book serves as your essential roadmap to understanding and implementing robust security measures in the AWS environment. The author, a seasoned infrastructure security expert, begins with the basics of cybersecurity and gradually introduces more complex AWS-specific security practices. His structured approach helps you use your existing knowledge to effectively secure your AWS cloud. The book navigates through a series of real-world challenges and provides actionable solutions, equipping you with the skills needed to tackle security issues head-on.

Название: Fundamentals of Robust Machine Learning: Handling Outliers and Anomalies in Data Science
Автор: Resve Saleh, Sohaib Majzoub, A.K.Md. Ehsanes Saleh
Издательство: Wiley
Год: 2025
Страниц: 409
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

An essential guide for tackling outliers and anomalies in Machine Learning and Data Science. In recent years, Machine Learning (ML) has transformed virtually every area of research and technology, becoming one of the key tools for data scientists. Robust Machine Learning is a new approach to handling outliers in datasets, which is an often-overlooked aspect of Data Science. Ignoring outliers can lead to bad business decisions, wrong medical diagnoses, reaching the wrong conclusions or incorrectly assessing feature importance, just to name a few. Fundamentals of Robust Machine Learning offers a thorough but accessible overview of this subject by focusing on how to properly handle outliers and anomalies in datasets. There are two main approaches described in the book: using outlier-tolerant ML tools, or removing outliers before using conventional tools. Balancing theoretical foundations with practical Python code, it provides all the necessary skills to enhance the accuracy, stability and reliability of ML models.

Название: Алмазоносность Урала: обзор литературы
Автор: Т.В. Харитонов (сост.)
Издательство: ЕНИ ПГНИУ
Год издания: 2016
Количество страниц: 1281
Язык: русский
Формат: PDF
Размер: 18,75 Мб

Обзор литературы по алмазоносности Урала - это первая книга из серии о горных производствах и направлениях геологии России, зародившихся на территории современного Пермского края. Впервые для Урала, частично для Тимана и северо-запада Русской платформы, составлена сводная библиография по алмазоносности с 1700-х по 2016 гг.
Справочник дает возможность получить представление об истории, о географии поисково-разведочных работ на уральские алмазы, о масштабах, комплексах и методике поисково-разведочных и тематических работ, проводившихся в советское время на западном и восточном склонах Урала, начиная с 1928 г. Справочник снабжен предметным указателем (списком россыпей) с указанием авторов, изучавших россыпь, с годом выхода отчетов, что облегчает поиск необходимых сведений.
Издание предназначено для преподавателей, студентов и специалистов в области геологии и горного дела.

Название: Filet Crochet to Wear: Beginner-friendly patterns for filet crochet clothes
Автор: Lauren Willis
Издательство: David & Charles
Год: April 30, 2024
Размер: 161 Мб
Формат: EPUB
Страниц: 128
Язык: Английский

Если вы думали, что филейное вязание крючком предназначено только для салфеток, подумайте еще раз – эта коллекция проектов представляет собой новый взгляд на эту традиционную технику вязания крючком. В этой коллекции представлены свитера и кардиганы для прохладного времени года, а также более легкие модели, включая майки и футболки для теплой погоды. Автор и дизайнер по вязанию крючком Лорен Уиллис объясняет все, что вам нужно знать о том, как работать крючком, включая то, как следовать схеме для создания мотивов, необходимые стежки и другие советы и рекомендации.

Название: Основы аналитической химии: задачи и вопросы
Автор: Барбалат Ю. А., Гармаш А. В., Моногарова О. В., Осипова Е. А.
Издательство: Лаборатория знаний
Год: 2020 - 3-е изд., испр. и доп.
Cтраниц: 416
Формат: pdf (ocr)
Размер: 13 мб
Язык: русский

Задачник составлен в соответствии с действующей программой по аналитической химии для химических факультетов университетов. Содержит решения типовых задач по основным разделам курса: теоретическим основам, методам разделения, а также химическим, хроматографическим, электрохимическим и спектроскопическим методам анализа.

Название: Бронепоезда в Великой Отечественной войне 1941-1945
Автор: Ефимьев А.В., Манжосов А.Н., Сидоров П.Ф.
Издательство: М.: Транспорт
Год: 1992
Cтраниц: 250
Формат: pdf
Размер: 62 мб
Язык: русский

Книга посвящена тесному сотрудничеству воинов Красной Армии и советских железнодорожников в годы Великой Отечественной войны. Рассказано о строительстве броневых поездов на прифронтовых железнодорожных узлах, в цехах заводов Наркомата путей сообщения.

Название: Automating Cyber Threat Intelligence: Tools and Techniques for Enhanced Security Posture
Автор: Adele Kuzmiakova
Издательство: Arcler Press
Год: 2025
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Cyber threats are increasingly sophisticated, requiring proactive and automated solutions for effective defense. This book explores tools and techniques for automating threat intelligence, from AI-driven analytics to automated incident response systems. Covering topics like vulnerability assessments and predictive threat modeling, it equips readers with strategies to enhance their organization's security posture. With actionable insights, this book is essential for cybersecurity professionals and IT managers seeking to stay ahead in the evolving cyber landscape. The sheer volume of cyber threat information can be overwhelming for threat intelligence analysts, making it difficult to distinguish between genuine threats and false positives. This is where Artificial Intelligence (AI) becomes a crucial asset. AI technologies, particularly Machine Learning (ML) and Deep Learning (DL), offer transformative solutions for automating and refining various aspects of threat intelligence, including data collection, in-depth analysis, intelligent sharing, and advanced technological integration.