Learn IT - Books tags computing

Quantum Computing Solutions: Solving Real-World Problems Using Quantum Computing and Algorithms

Apress, 2020

This chapter gives an overview of quantum solutions. You will see how quantum computing can be applied in real life. The problem and solutions are presented with the solution benefits. The solution benefits are automation, cost reduction and profit improvements, efficiency improvement, and defect reduction. The solutions...

Crypto Dictionary: 500 Tasty Tidbits for the Curious Cryptographer

No Starch Press, 2021

Crypto Dictionary is your full reference resource for all things cryptography.

Cryptography from A5/0 to ZRTP

Expand your mind—and your crypto knowledge—with the ultimate desktop dictionary for all things cryptography. Written by a globally recognized cryptographer for...

Python Programming: The Ultimate Beginners Guide to Learn Python Machine Learning Step-by-Step

Independent Publishers Group, 2021

Are you brand new to machine learning and Python?Do you want to learn good coding techniques quickly and easily?Then Python Programming is the book for you!Python is one of the best platforms for those new to programming to begin with. The book will introduce you to the basic concepts of Machine Learning, Python programming...

Blockchain for 5G-Enabled IoT: The new wave for Industrial Automation

Springer, 2021

This book addresses one of the most overlooked practical, methodological, and moral questions in the journey to secure and handle the massive amount of data being generated from smart devices interactions: the integration of Blockchain with 5G-enabled IoT. After an overview, this book discusses open issues and challenges, which may hinder the...

Python Scripting for Computational Science (Texts in Computational Science and Engineering)

Springer, 2004

The goal of this book is to teach computational scientists and engineers how to develop tailored, flexible, and efficient working environments built from small programs (scripts) written in the easy-to-learn, very high-level language Python. The focus is on examples and applications of relevance to computational science: gluing existing...

Advances in Evolutionary Algorithms: Theory, Design and Practice

Springer, 2006

The goal of this book is to develop efficient optimization algorithms to solve diverse real-world problems of graded difficulty. Genetic and evolutionary mechanisms have been deployed for reaching the goal.

This book has made five significant contributions in the realm of genetic and evolutionary computation (GEC).

Practical...

Python Algorithms: Mastering Basic Algorithms in the Python Language

Apress, 2014

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.

The book...

Hard Disk Drive: Mechatronics and Control (Control Engineering)

CRC Press, 2006

The hard disk drive (HDD) is an excellent example of the practical application of precision mechatronics. Hard Disk Drive: Mechatronics and Control describes the control aspects of an HDD, explains difficulties faced by designers, provides solutions, and highlights challenges of future-generation drives. Combining academic interests with...

Automatic Quantum Computer Programming: A Genetic Programming Approach

Springer, 2006

This is a book about the frontiers of computer science that have recently
been opened by work in quantum mechanics, but it is also a book
about the use of recently developed automatic programming technologies
to explore those frontiers. The automatic programming technologies
themselves issue from another interdisciplinary...

An Introduction to Programming with Mathematica, Third Edition

Cambridge University Press, 2005

"Essential...a welcome addition to the literature. The choice of topics and their presentation are lucidly informed by considerable experience. The writing style is straightforward and clear. The authors stick resolutely to their goal of producing an introductory text, not a complete treatment, on programming in Mathematica. As such it...

A Programmer's Companion to Algorithm Analysis

CRC Press, 2006

Focusing on practical issues, A Programmer's Companion to Algorithm Analysis bridges the gap between algorithms and software programs. This book explains the fundamental differences between the computational model assumed for algorithms and the real architectures in which programs execute. It highlights the pitfalls that can occur when implementing...

An Introduction to Distributed Algorithms

MIT Press, 1996

"Barbosa makes the otherwise difficult subject of distributed algorithms very enjoyable and attractive to both students and researchers. The leading intuitive discussion of each algorithm is so very well organized and clearly written that a reader can, without the slightest effort, have a clear picture of it. An ideal textbook for an...

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