Название: Computer Algorithms: Correctness Proofs and Performance Analyses
Автор: Shаshаnk К. Меhtа
Издательство: PHI Learning Private Limited
Год: 2023
Страниц: 473
Язык: английский
Формат: pdf (true)
Размер: 34.4 MB

The book is self-contained and includes the desired mathematical background. The book covers most of the data structures and classical graphs algorithms, string algorithms, matroid algorithms, linear algebra algorithms, flow and circulation algorithms, linear programming solvers, and integer algorithms. It covers several topics which are rarely covered in the existing textbooks. Pseudocode is provided for every algorithm. Proof of correctness and the complexity analysis is given for every algorithm. Examples are also provided to help explain several algorithms. The book is designed for an introductory as well as an advance course in the design and analysis of algorithms. It is intended for undergraduate as well as postgraduate students of computer science and engineering. Some of the topics covered in the book are as follows. i) String homomorphism and isomorphism ii) Detailed proof of graph matching algorithm including augmenting path computation iii) Gallai Edmonds decomposition algorithm iv) Matroid Intersection algorithm Klein. There are excellent textbooks1 available for an undergraduate course on algorithms. However, the same cannot be said for graduate level books on the subject. A graduate level book requires rigorous treatment of two issues for each algorithm: the correctness proof and the time/space complexity analysis. The motive behind writing this book was to develop a textbook covering most of the traditional topics but with complete proof of correctness and complexity analysis. The book is not only for a graduate student but also for an advance undergraduate student as well. It is self contained so that an undergraduate student can follow the subject without having to study other books.

Название: Security Challenges with Blockchain: Navigate Blockchain Security Challenges, Unveil Vulnerabilities, and Gain Practical Strategies for Secure Application Development
Автор: Сhintаn Dаvе
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 275
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.1 MB

Securing the Chain: Navigating the Future of Blockchain with Confidence. In “Security Challenges with Blockchain”, readers embark on a critical journey through the evolving landscape of blockchain security. This essential guide illuminates the intricate security challenges posed by blockchain technology’s decentralized nature, providing a comprehensive overview of the potential vulnerabilities, privacy concerns, and trust issues that professionals across industries may encounter. Through concise, expertly curated content, the book equips developers, IT professionals, and blockchain enthusiasts with the knowledge and strategies necessary to build and maintain secure blockchain applications. It demystifies complex security concepts, offering actionable insights and best practices for safeguarding digital assets against emerging threats and ensuring the integrity of blockchain systems. Through a comprehensive exploration, readers will gain a profound understanding of the core principles of blockchain technology, including its decentralized nature and the cryptographic protocols that form its backbone. We delve into the technicalities of blockchain to uncover how its security mechanisms work, the types of attacks it faces, and the ongoing efforts to fortify blockchain systems against such threats. This book is tailored for blockchain developers, cybersecurity analysts, IT security professionals, technology enthusiasts, blockchain solution architects, IT managers, compliance officers, risk management professionals, students, researchers, and business leaders looking for insights and strategies for effectively managing cybersecurity incidents in blockchain environments.

Название: The Road to React: The React.js in javascript Book (2024 Edition)
Автор: Rоbin Wiеruсh
Издательство: Leanpub
Год: 2024-02-05
Страниц: 285
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

The Road to React: The React.js with Hooks in javascript Book (2024 Edition) - is a comprehensive and pragmatic yet concise React with Hooks (+ opt-in TypeScript) book. Purchase of this book includes free online access to the always up-to-date digital book. What you will learn: "The Road to React" made its debut in 2016, and since then, I've almost rewritten it annually. This book teaches the core principles of React, guiding you through building a practical application in pure React without complex tooling. The book covers everything from setting up the project to deploying it on a server. Each chapter includes additional recommended reading and exercises. By the end, you'll have the skills to develop your own React applications. In "The Road to React," I establish a solid foundation before delving into the broader React ecosystem. The book clarifies general concepts, patterns, and best practices for real-world React applications. Ultimately, you'll learn to construct a React application from scratch, incorporating features such as pagination, client-side and server-side searching, and advanced UI interactions like sorting. To navigate through this book, it’s essential to have a foundational understanding of web development, encompassing HTML, CSS, and javascript. Familiarity with APIs is beneficial, as they will be discussed later. Additionally, you’ll require the following coding tools to follow along with the book, complementing these skills.

Название: Designing to FIPS-140: A Guide for Engineers and Programmers
Автор: Dаvid Jоhnstоn, Riсhаrd Fаnt
Издательство: Apress
Год: 2024
Страниц: 224
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book provides detailed and practical information for practitioners to understand why they should choose certification. It covers the pros and cons, and shows how to design to comply with the specifications (FIPS-140, SP800 documents, and related international specs such as AIS31, GM/T-0005-2021, etc.). It also covers how to perform compliance testing. By the end of the book, you will know how to interact with accredited certification labs and with related industry forums (CMUF, ICMC). In short, the book covers everything you need to know to make sound designs. There is a process for FIPS-140 (Federal Information Processing Standard) certification for cryptographic products sold to the US government. And there are parallel certifications in other countries, resulting in a non-trivial and complex process. A large market of companies has grown to help companies navigate the FIPS-140 certification process. And there are accredited certification labs you must contract toget the certification. Although this was once a fairly niche topic, it is no longer so. Other industries―banking, military, healthcare, air travel, and more―have adopted FIPS certification for cryptographic products. For hardware and software engineers or managers of engineering programs that include any form of cryptographic functionality, including silicon vendors, library vendors, OS vendors, and system integrators.

Название: Modeling Neural Circuits Made Simple with Python
Автор: Rоbеrt Rоsеnbаum
Издательство: The MIT Press
Год: 2024
Страниц: 168
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

An accessible undergraduate textbook in computational neuroscience that provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Understanding the brain is a major frontier of modern science. Given the complexity of neural circuits, advancing that understanding requires mathematical and computational approaches. This accessible undergraduate textbook in computational neuroscience provides an introduction to the mathematical and computational modeling of neurons and networks of neurons. Starting with the biophysics of single neurons, Robert Rosenbaum incrementally builds to explanations of neural coding, learning, and the relationship between biological and artificial neural networks. Examples with real neural data demonstrate how computational models can be used to understand phenomena observed in neural recordings. Based on years of classroom experience, the material has been carefully streamlined to provide all the content needed to build a foundation for modeling neural circuits in a one-semester course. This book assumes a basic background in calculus (derivatives and integrals), linear algebra (matrix products and eigenvalues), and probability or statistics (expectations and variance). Figures in the book are accompanied by Python notebooks containing the code needed to reproduce the figure. See the book’s website for links to the Python notebooks. The file name of each Python notebook is referenced in the associated figure caption. If you are not familiar with Python or NumPy, or if you just need a review, see the notebook PythonIntro.ipynb for a brief introduction to Python programming.

Название: The Super Programmer: A colorful introduction to engineering! (Updated)
Автор: Кеуvаn Каmbаkhsh
Издательство: Leanpub
Год: 2024-04-11
Страниц: 183
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

This book is for curious people who are eager to learn some of the most fundamental topics of computer and software engineering. The topics presented in this books, although very interesting in author's opinion, are some of the most underrated and least discussed fields of computer programming. This book is about the old technology, the technology we are using everyday, but we refuse to learn and extend as an average engineer. The literature around each of those topics is so large that, only specialists will ever be motivated to learn them. The Super Programmer is for the programmers who don’t want to limit their knowledge and skills on a very narrow area of software engineering. The Super Programmer is for programmers who can’t sleep at night when they don’t exactly understand how something in their computer works. The Super Programmer is all about ideas, and how they have evolved through time, leading to the impressive technology we have today. I wanted this book to have least dependency to technologies, so that the codes do not get obsolete over time. I first thought of writing the codes in some pseudo-coding language, but I personally believe that pseudo-codes are not coherent enough, so I decided to choose and stick with a popular language like Python, which as of today, is a programming language that is known by many other engineers and scientists.

Название: C++ & Python for Beginners - 18th Edition 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 41.3 MB

Совершенствуйте свои навыки программирования, изучая основы Python и C++ уже сегодня! Универсальный справочник с подробными учебными пособиями от команды экспертов. Изучайте Python и применяйте его в своих программах Python и C++ - два самых мощных и насыщенных языка программирования на сегодняшний день. Знание и освоение обоих языков позволит вам глубже понять современные технологии и то, как они взаимодействуют с нами и окружающим нас миром.

Название: Transformers in Action (MEAP v7)
Автор: Niсоlе Коеnigstеin
Издательство: Manning Publications
Год: 2024
Страниц: 272
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

Transformers are the superpower behind large language models (LLMs) like ChatGPT, Bard, and LLAMA. Transformers in Action gives you the insights, practical techniques, and extensive code samples you need to adapt pretrained transformer models to new and exciting tasks. Technically speaking, a “Transformer” is a neural network model that finds relationships in sequences of words or other data by using a mathematical technique called attention in its encoder/decoder components. This setup allows a transformer model to learn context and meaning from even long sequences of text, thus creating much more natural responses and predictions. Understanding the transformers architecture is the key to unlocking the power of LLMs for your own AI applications. This comprehensive guide takes you from the origins of transformers all the way to fine-tuning an LLM for your own projects. Author Nicole Königstein demonstrates the vital mathematical and theoretical background of the transformer architecture practically through executable Jupyter notebooks, illuminating how this amazing technology works in action. Transformers have established themselves as a indispensable tool in the field of Machine Learning and Artificial Intelligence as the research and deployment of Large Language Models (LLMs) continues to expand. This book will take you on a fascinating journey through the applications of Transformers, which have, in recent years, evolved from their initial use in natural language processing (NLP) to a wide array of domains. These include, but is not limited to, computer vision, speech recognition, reinforcement learning, mathematical operations, and the study of biological systems such as protein folding. The most notable innovations have been the emergence of decision Transformers and multimodal models. These groundbreaking models have the potential to reshape our understanding of Deep Learning and broaden its horizons. Readers should be comfortable with the basics of ML, Python, and common data tools.

Название: Artificial Intelligence: Beyond Classical AI
Автор: Rееmа Тhаrеjа
Издательство: Pearson
Год: 2024
Страниц: 881
Язык: английский
Формат: epub
Размер: 20.9 MB

Pearson’s Artificial Intelligence encompasses a comprehensive text on the fundamental principles and concepts of Artificial Intelligence—a new-age technology that fuels the much-coveted ‘Industry 4.0’. Presented in lucid English, this book covers all the basic concepts, enriched with latest examples. It also discusses all the major components of AI, such as Neural Networks, Natural Language Processing, Reinforcement Learning, Machine Learning, Deep Learning and Computer Vision. The book is a deliberation of classical as well modern AI techniques and related technologies that provides readers with an overall knowledge and understanding of AI in present-day context. Few languages that are popularly used to code AI applications are R, Python and Java. From a layman’s view, artificial intelligence (AI), simply means the intelligence demonstrated by machines that help them to mimic the actions of humans. AI simulates natural intelligence in machines that are programmed to learn from experiences, adjust to new inputs and perform human-like tasks. From a researcher’s view, AI is a set of algorithms that generates results without having to be explicitly instructed to do so, thereby making machines capable of thinking and acting rationally and humanely. Most AI examples, from chess-playing computers to self-driving cars, heavily depend on Deep Learning and natural language processing (NLP) techniques. Majority of AI systems are supported by breakthroughs in Machine Learning and Deep Learning techniques. These techniques together go hand-in-hand to deliver an efficient system that sometimes it is just difficult to understand the difference between Artificial Intelligence (AI), Machine Learning and Deep Learning. Book focusses on practical implementation of key algorithms using Python programming language that help students gain hands-on experience

Название: Understanding Ruby Regexp: Example based guide to mastering Ruby regular expressions
Автор: Sundеер Аgаrwаl
Издательство: Leanpub
Год: 2024-02-02
Страниц: 107
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB

Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another. This book will help you learn Ruby Regular Expressions, a mini-programming language for all sorts of text processing needs. The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them. Make an effort to understand the sample input as well as the solution presented and check if the output changes (or not!) when you alter some part of the input and the command. As an analogy, consider learning to drive a car — no matter how much you read about them or listen to explanations, you'd need practical experience to become proficient. Exercises are included to test your understanding. Reference solutions are also provided. You should be familiar with programming basics. You should also have a working knowledge of Ruby syntax and features like string formats, string and Enumerable methods.