Название: Parallel Agile – faster delivery, fewer defects, lower cost
Автор: Doug Rosenberg , Barry Boehm, Matt Stephens
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 221
Размер: 50.5 Mb
Язык: English

From the beginning of software time, people have wondered why it isn’t possible to accelerate software projects by simply adding staff. This is sometimes known as the “nine women can’t make a baby in one month” problem. The most famous treatise declaring this to be impossible is Fred Brooks’ 1975 book The Mythical Man-Month, in which he declares that “adding more programmers to a late software project makes it later,” and indeed this has proven largely true over the decades.

Название: Complete Maya Programming: An Extensive Guide to MEL and C++ API
Автор: David Gould
Издательство: Morgan Kaufmann
Год: 2003
Формат: PDF
Страниц: 528
Размер: 17 Mb
Язык: English

Learning Maya, the world's leading 3D animation and effects package, is a challenge, especially for those who want to master Maya's versatile programming features in addition to its built-in tools.
Finally, here is a practical, step-by-step guide that shows how to use Maya to its fullest potential, beginning with the basics. Readers of Complete Maya Programming will first gain a thorough understanding of Maya's inner workings, and then learn how to customize and extend Maya with scripts and plugins that take control and productivity to new levels.

Название: Serious Cryptography: A Practical Introduction to Modern Encryption (Corrections, 2-Jan-2020)
Автор: Jean-Philippe Aumasson
Издательство: No Starch Press
Год: 2017/With some corrections, 2-Jan-2020
Страниц: 312
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB

Serious Cryptography was written by one of the foremost experts in applied cryptography, but it’s not targeted at other experts. Nor, for that matter, is it intended as a superficial overview of the field. On the contrary, it contains a thorough and up-to-date discussion of cryptographic engineering, designed to help practitioners who plan to work in this field do better. In these pages, you’ll learn not only how cryptographic algorithms work, but how to use them in real systems.

Название: Probability with R: An Introduction with Computer Science Applications, 2nd Edition
Автор: Jane M. Horgan
Издательство: Wiley
Год: 2020
Страниц: 473
Язык: английский
Формат: pdf (true)
Размер: 13.1 MB

Provides a comprehensive introduction to probability with an emphasis on computing-related applications. This self-contained new and extended edition outlines a first course in probability applied to computer-related disciplines. As in the first edition, experimentation and simulation are favoured over mathematical proofs. The freely down-loadable statistical programming language R is used throughout the text, not only as a tool for calculation and data analysis, but also to illustrate concepts of probability and to simulate distributions. The examples in Probability with R: An Introduction with Computer Science Applications, Second Edition cover a wide range of computer science applications, including: testing program performance; measuring response time and CPU time; estimating the reliability of components and systems; evaluating algorithms and queuing systems.

Название: Federated Learning (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Автор: Qiang Yang, Yang Liu
Издательство: Morgan & Claypool
Год: 2019
Страниц: 209
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional Machine Learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how Federated Machine Learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory.

Название: General Video Game Artificial Intelligence (Synthesis Lectures on Games and Computational Intelligence)
Автор: Diego Perez Liebana, Simon M. Lucas, Raluca D. Gaina
Издательство: Morgan & Claypool Publishers
Год: 2019
Формат: True PDF
Страниц: 192
Размер: 21.4 Mb
Язык: English

Research on general video game playing aims at designing agents or content generators that can perform well in multiple video games, possibly without knowing the game in advance and with little to no specific domain knowledge.
The general video game AI framework and competition propose a challenge in which researchers can test their favorite AI methods with a potentially infinite number of games created using the Video Game Description Language. The open-source framework has been used since 2014 for running a challenge. Competitors around the globe submit their best approaches that aim to generalize well across games. Additionally, the framework has been used in AI modules by many higher-education institutions as assignments, or as proposed projects for final year (undergraduate and Master's) students and Ph.D. candidates.

Название: Algorithms in Machine Learning Paradigms (Studies in Computational Intelligence)
Автор: Jyotsna Kumar Mandal (Editor), Somnath Mukhopadhyay (Editor), Paramartha Dutta (Editor), Kousik Dasgupta (Editor)
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 195
Размер: 42.9 Mb
Язык: English

This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.

Название: A Course in Cryptography
Автор: Heiko Knospe
Издательство: American Mathematical Society
Год: 2019
Формат: PDF, FB2
Страниц: 323
Размер: 10,5 Mb
Язык: English

This book provides a compact course in modern cryptography. The mathematical foundations in algebra, number theory and probability are presented with a focus on their cryptographic applications. The text provides rigorous definitions and follows the provable security approach. The most relevant cryptographic schemes are covered, including block ciphers, stream ciphers, hash functions, message authentication codes, public-key encryption, key establishment, digital signatures and elliptic curves. The current developments in post-quantum cryptography are also explored, with separate chapters on quantum computing, lattice-based and code-based cryptosystems. Many examples, figures and exercises, as well as SageMath (Python) computer code, help the reader to understand the concepts and applications of modern cryptography.

Название: Программирование на языке Си
Автор(ы): Рацеев С.М.
Издательство: Ульяновск: УлГУ
Год: 2015
Страниц: 320
Формат: PDF
Размер: 10 Мб
Язык: русский

Учебное пособие предлагает читателю курс программирования, ориентированный на язык Си. Пособие содержит много примеров с часто применяемыми алгоритмами и фундаментальными структурами данных, при этом для некоторых задач приводится несколько способов решения в зависимости от начальных данных. Также имеется большое количество задач для отработки основных приемов программирования на языке Си

Название: Analysis and Design of Next-Generation Software Architectures: 5G, IoT, Blockchain, and Quantum Computing
Автор: Arthur M. Langer
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 308
Размер: 22.3 Mb
Язык: English

This book provides a detailed “how-to” guide, addressing aspects ranging from analysis and design to the implementation of applications, which need to be integrated within legacy applications and databases.
The analysis and design of the next generation of software architectures must address the new requirements to accommodate the Internet of things (IoT), cybersecurity, blockchain networks, cloud, and quantum computer technologies. As 5G wireless increasingly establishes itself over the next few years, moving legacy applications into these new architectures will be critical for companies to compete in a consumer-driven and social media-based economy. Few organizations, however, understand the challenges and complexities of moving from a central database legacy architecture to a ledger and networked environment.