This concise, easy-to-follow book introduces key topics in the history of computing from 3000 B.C. to the present. Profiles major figures in computing, covers programming, software and hardware and reviews innovations including the internet and worldwide web.
This comprehensive book provides an introduction into the key topics in the history of computing in an easy-to-follow and concise manner. The book covers significant areas and events in the field from the beginnings of computation in 3000B.C. through to the present day.
This treatment of computer science and its applications in the arts focuses on Chinese arts and painting, offering a multi-disciplinary perspective from the angles of computer graphics, interactivity, human-computer interaction, and artificial intelligence.
This book is designed specifically as a guide for Computer Scientists needing an introduction to Cell Biology. The text explores three different facets of biology: biological systems, experimental methods, and language and nomenclature.
This introduction to programming and algorithms requires no prior knowledge of the subject. It covers programming basic tasks using Java as well as focuses on data structures and algorithms. Exercises are included at the end of each chapter.
This book offers readers a succinct and reader-friendly foundation to the most important topics in the field of data compression. Complete and clear, it is the perfect reference for advanced undergraduates in computer science and requires a minimum of mathematics.
This easy-to-follow text provides an accessible introduction to the key topics of formal languages and abstract machines within Computer Science. The author follows the formula of his first book, but makes these core computing topics more fundamental.
This book offers an easily accessible foundation to the topic of software engineering. It focuses on the essential elements, providing the reader with the basic skills and knowledge required to execute a software project successfully.
The reliable detection of low-level image structures is an old and still challenging problem in computer vision. This book leads a detailed tour through the LSD algorithm, a line segment detector designed to be fully automatic. Based on the a contrario framework, the algorithm works efficiently without the need of any parameter tuning. The design criteria are thoroughly explained and the algorithm's good and bad results are illustrated on real and synthetic images. The issues involved, as well as the strategies used, are common to many geometrical structure detection problems and some possible extensions are discussed.