Название: Applied Numerical Methods with MATLAB for Engineers and Scientists, 5th Edition
Автор: Steven C. Chapra
Издательство: McGraw Hill
Год: 2023
Страниц: 753
Язык: английский
Формат: pdf (true), epub
Размер: 50.7 MB

This book is designed to support a one-semester course in numerical methods. It has been written for students who want to learn and apply numerical methods in order to solve problems in engineering and science. As such, the methods are motivated by problems rather than by mathematics. That said, sufficient theory is provided so that students come away with insight into the techniques and their shortcomings. MATLAB provides a great environment for such a course. Although other environments (e.g., Excel/VBA, Mathcad) or languages (e.g., Fortran 90, C++, Python) could have been chosen, MATLAB presently offers a nice combination of handy programming features with powerful built-in numerical capabilities. On the one hand, its M-file programming environment allows students to implement moderately complicated algorithms in a structured and coherent fashion. On the other hand, its built-in, numerical capabilities empower students to solve more difficult problems without trying to “reinvent the wheel.” Algorithms Presented Using MATLAB M-files. Instead of using pseudocode, this book presents algorithms as well-structured MATLAB M-files. Aside from being useful computer programs, these provide students with models for their own M-files that they will develop as homework exercises.

Название: TypeScript Cookbook: Real World Type-Level Programming, Final Release
Автор: Stefan Baumgartner
Издательство: O’Reilly Media, Inc.
Год: 2023-08-08
Страниц: 550
Язык: английский
Формат: True EPUB (Retail Copy), pdf (conv)
Размер: 18.5 MB

TypeScript is one of the most important tools for jаvascript developers. Still, even experienced developers wonder why the TypeScript compiler is throwing squiggly red lines at them. Enter TypeScript Cookbook. With this practical guide, author Stefan Baumgartner provides senior engineers with solutions for everyday TypeScript problems. If you're conversant with TypeScript as well as jаvascript basics, this book provides actionable recipes to help you tackle a wide array of issues. From setting up complex project structures to developing advanced helper types, each self-contained recipe guides you through the problem and discusses why and how a solution works.

Название: Killer ChatGPT Prompts: Harness the Power of AI for Success and Profit
Автор: Guy Hart-Davis
Издательство: Wiley
Год: 2023
Страниц: 270
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Unlock the full capabilities of ChatGPT at work, at home, and in your day-to-day. By now, you’ve heard of ChatGPT and its incredible potential. You may even have tried to use it a few times just to see it in action for yourself. But have you ever wondered what ChatGPT is truly capable of? Killer ChatGPT Prompts: Harness the Power of AI for Success and Profit will show you the true power of Large Language Models (LLMs) like ChatGPT. In the book, veteran IT educator and trusted author Guy Hart-Davis shows you the exact prompts he’s discovered to unlock a huge variety of expert business writing, like emails and proposals, data analysis use cases, lesson plans, information exchange scripts, and more! Along with the skills you've read about in other chapters, ChatGPT is pretty good at programming. That might seem strange; but ChatGPT is a large language model, and programs are written in various programming languages, most of which obey far more formal structures than English and the other human languages that ChatGPT handles so well. If you're a programmer or you work in software development, try integrating ChatGPT into your workflow and see what it can do for you. Even if your interest in programming is casual and you just need to hack together a quick-and-dirty Word VBA macro or a Python script to perform a one-time task, ChatGPT may be able to save you time and effort. Which Programming Languages Can ChatGPT Help You With? The short answer is: most of them. Python, Java, jаvascript, C, C++, C#, Ruby, PHP, Swift, Go, R, SQL, TypeScript, VBA, Rust, and MATLAB—ChatGPT is happy to help you with all of these, and more.

Название: Analysis, Cryptography and Information Science
Автор: Nicholas J Daras, Panos M Pardalos
Издательство: World Scientific Publishing
Серия: Series on Computers and Operations Research
Год: 2023
Страниц: 283
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This compendium focuses on self-contained presentations of various developments in mathematical analysis, cryptography and information science. The volume features both original research and survey papers contributed by experts from the international community. The book has a strong interdisciplinary flavor and features the most recent developments in the topics treated. This useful reference text benefits professionals, researchers, academics and graduate students. The chapters within this book have been contributed by experts from the international community, presenting the essential developments in the corresponding topics as well as problems treated. Particularly, the contributed chapters discuss topics on one-way actions via holomorphs and split extensions with cryptographic applications, supply chain security by the use of blockchains, cryptographic properties of Boolean functions generating similar De Bruijn sequences, the product subset problem featuring applications to number theory and cryptography, consecutive square-free numbers, cotangent sums related to the Riemann Hypothesis, the approximation of inverse functions of Dirichlet series by rational functions, qualitative queries with fuzzy techniques, topological data analysis and clustering, inequalities for convex functions with applications, as well as general DKH contractions in metric spaces.

Название: Linear Algebra Tools for Data Mining
Автор: Dan A Simovici
Издательство: World Scientific Publishing
Год: 2023
Страниц: 1002
Язык: английский
Формат: pdf (true)
Размер: 10.3 MB

This updated compendium provides the linear algebra background necessary to understand and develop linear algebra applications in data mining and Machine Learning. Basic knowledge and advanced new topics (spectral theory, singular values, decomposition techniques for matrices, tensors and multidimensional arrays) are presented together with several applications of linear algebra (k-means clustering, biplots, least square approximations, dimensionality reduction techniques, tensors and multidimensional arrays). The useful reference text includes more than 600 exercises and supplements, many with completed solutions and MATLAB applications. The volume benefits professionals, academics, researchers and graduate students in the fields of pattern recognition/image analysis, AI, Machine Learning and databases.

Название: Requirements Engineering for Software and Systems, 4th Edition
Автор: Phillip A. Laplante, Mohamad H. Kassab
Издательство: CRC Press
Год: 2022
Страниц: 593
Язык: английский
Формат: epub (true), mobi
Размер: 24.4 MB

Solid requirements engineering has increasingly been recognized as the key to improved, on-time, and on-budget delivery of software and systems projects. New software tools are emerging that are empowering practicing engineers to improve their requirements engineering habits. However, these tools are not usually easy to use without significant training. Requirements Engineering for Software and Systems, Fourth Edition is intended to provide a comprehensive treatment of the theoretical and practical aspects of discovering, analyzing, modeling, validating, testing, and writing requirements for systems of all kinds, with an intentional focus on software-intensive systems. It brings into play a variety of formal methods, social models, and modern requirements writing techniques to be useful to practicing engineers. The book is intended for professional software engineers, systems engineers, and senior and graduate students of software or systems engineering. Since the first edition, there have been made many changes and improvements to this textbook. Feedback from instructors, students, and corporate users was used to correct, expand, and improve the materials.

Название: Machine Learning in Pure Mathematics and Theoretical Physics
Автор: Yang-Hui He
Издательство: World Scientific Publishing
Год: 2023
Страниц: 418
Язык: английский
Формат: pdf (true)
Размер: 32.4 MB

The juxtaposition of "Machine Learning" and "pure mathematics and theoretical physics" may first appear as contradictory in terms. The rigours of proofs and derivations in the latter seem to reside in a different world from the randomness of data and statistics in the former. Yet, an often under-appreciated component of mathematical discovery, typically not presented in a final draft, is experimentation: both with ideas and with mathematical data. Think of the teenage Gauss, who conjectured the Prime Number Theorem by plotting the prime-counting function, many decades before complex analysis was formalized to offer a proof. Can modern technology in part mimic Gauss's intuition? The past five years saw an explosion of activity in using AI to assist the human mind in uncovering new mathematics: finding patterns, accelerating computations, and raising conjectures via the Machine Learning of pure, noiseless data. The aim of this book, a first of its kind, is to collect research and survey articles from experts in this emerging dialogue between theoretical mathematics and Machine Learning. It does not dwell on the well-known multitude of mathematical techniques in Deep Learning, but focuses on the reverse relationship: how Machine Learning helps with mathematics. Taking a panoramic approach, the topics range from combinatorics to number theory, and from geometry to quantum field theory and string theory. Aimed at PhD students as well as seasoned researchers, each self-contained chapter offers a glimpse of an exciting future of this symbiosis.

Название: C# Concurrency (MEAP v5)
Автор: Nir Dobovizki
Издательство: Manning Publications
Год: 2023
Страниц: 148
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.9 MB

Supercharge your applications with the ultimate guide to asynchronous and multithreaded programming in C#! Multithreading and asynchronous programming are two ways to make the computer do more than one thing at the same time. Multithreading is about making it seem like the computer is doing multiple things (more things than the number of CPU cores) at the same time and asynchronous programming is about better utilizing the CPU in all the situations that would normally cause the CPU to wait. Making the computer do more than one thing at the same time is extremely useful; it can help keep native apps responsive while they work, and it is required to write high performance servers that can communicate with multiple clients. C# Concurrency teaches you how to write effective multithreaded and asynchronous software in C#. In this insightful book, you’ll discover the essential differences between multithreaded and asynchronous programming, how async/await works behind the scenes, and how you can use them all accurately and safely. Practical techniques, real-world examples, and useful code samples cut through the confusion around async/await and help you write rapid, reliable, and bug-free code.

Название: Semantic Technologies for Intelligent Industry 4.0 Applications
Автор: Archana Patel, Dr. Narayan C. Debnath
Издательство: River Publishers
Серия: River Publishers Series in Computing and Information Science and Technology
Год: 2023
Страниц: 395
Язык: английский
Формат: pdf (true)
Размер: 11.7 MB

Semantic technologies work with the concepts and relations that are very close to the working of the human brain. By using these technologies, data becomes a real-world entity rather than a string of characters. Semantic technologies are highly valuable tools to simplify the existing problems of the industry, leading to new opportunities. However, there are some challenges that need to be addressed to make industrial applications and machines smarter. The proposed book aims to provide a roadmap for semantic technolo­gies and highlights the role of these technologies in industry. The book covers semantic search engine, semantic web services, semantic web of things, AI compatible key hardware design, knowledge-graph-based integration, ontology development methodologies, knowledge extraction, prediction of semantic relations of biocontrol agents, integration of biomedical knowledge, semantic checking of information support, a tool for automatic anomaly identification in OWL ontologies, challenges and prospects of industry 4.0, and ontological modeling. As the world enters the era of big data, there is a serious need to give a semantic perspective to the data in order to find unseen patterns, derive meaningful information, and make intelligent decisions. Semantic technologies offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. These technologies reduce the problem of large semantic loss in the process of modelling knowledge, and provide sharable, reusable knowledge,and a common understanding of the knowledge.

Название: Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction
Автор: Hemachandran K, Raul V. Rodriguez, Umashankar Subramaniam, Valentina Emilia Balas
Издательство: CRC Press
Год: 2024
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 17.3 MB

Artificial Intelligence and Knowledge Processing play a vital role in various automation industries and their functioning in converting traditional industries to AI-based factories. This book acts as a guide and blends the basics of Artificial Intelligence (AI) in various domains, which include Machine Learning, Deep Learning, Artificial Neural Networks, and Expert Systems, and extends their application in all sectors. Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, discusses the designing of new AI algorithms used to convert general applications to AI-based applications. It highlights different Machine Learning and Deep Learning models for various applications used in healthcare and wellness, agriculture, and automobiles. The book offers an overview of the rapidly growing and developing field of AI applications, along with Knowledge of Engineering, and Business Analytics. This multi-contributed book is a valuable source for researchers, academics, technologists, industrialists, practitioners, and all those who wish to explore the applications of AI, Knowledge Processing, Deep Learning, and Machine Learning.