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George Orwell set out ‘to make political writing into an art’, and to a wide extent this aim shaped the future of English literature – his descriptions of authoritarian regimes helped to form a new vocabulary that is fundamental to understanding totalitarianism. While 1984 and Animal Farm are amongst the most popular classic novels in the English language, this new series of Orwell’s essays seeks to bring a wider selection of his writing on politics and literature to a new readership. In Why I Write, the first in the Orwell’s Essays series, Orwell describes his journey to becoming a writer, and his movement from writing poems to short stories to the essays, fiction and non-fiction we remember him for. He also discusses what he sees as the ‘four great motives for writing’ – ‘sheer egoism’, ‘aesthetic enthusiasm’, ‘historical impulse’ and ‘political purpose’ – and considers the importance of keeping these in balance. Why I Write is a unique opportunity to look into Orwell’s mind, and it grants the reader an entirely different vantage point from which to consider the rest of the great writer’s oeuvre. 'A writer who can – and must – be rediscovered with every age.' — Irish Times
An Essential Reference for Intermediate and Advanced R Programmers Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R. The book develops the necessary skills to produce quality code that can be used in a variety of circumstances. You will learn: The fundamentals of R, including standard data types and functions Functional programming as a useful framework for solving wide classes of problems The positives and negatives of metaprogramming How to write fast, memory-efficient code This book not only helps current R users become R programmers but also shows existing programmers what’s special about R. Intermediate R programmers can dive deeper into R and learn new strategies for solving diverse problems while programmers from other languages can learn the details of R and understand why R works the way it does.
An introduction to the field for both students and those actively involved in the software industry. Object orientation is discussed before going on to introduce Java, and object oriented concepts are illustrated throughout using Java, backed by examples for readers to follow. Design is included as well as coding, and guidance is given on how to build OO applications in Java. The construction of applications, not just applets is discussed in detail, showing how to turn any application into an applet. Java style guidelines are included, meeting the latest release of Java.
Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet. Each area of application has its specific requirements, and consequently these cannot all be tackled appropriately by a single, general-purpose algorithm. This easy-to-read text/reference provides a comprehensive introduction to the field of object recognition (OR). The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for each class. The presentation of each algorithm describes the basic algorithm flow in detail, complete with graphical illustrations. Pseudocode implementations are also included for many of the methods, and definitions are supplied for terms which may be unfamiliar to the novice reader. Supporting a clear and intuitive tutorial style, the usage of mathematics is kept to a minimum. Topics and features: presents example algorithms covering global approaches, transformation-search-based methods, geometrical model driven methods, 3D object recognition schemes, flexible contour fitting algorithms, and descriptor-based methods; explores each method in its entirety, rather than focusing on individual steps in isolation, with a detailed description of the flow of each algorithm, including graphical illustrations; explains the important concepts at length in a simple-to-understand style, with a minimum usage of mathematics; discusses a broad spectrum of applications, including some examples from commercial products; contains appendices discussing topics related to OR and widely used in the algorithms, (but not at the core of the methods described in the chapters). Practitioners of industrial image processing will find this simple introduction and overview to OR a valuable reference, as will graduate students in computer vision courses. Marco Treiber is a software developer at Siemens Electronics Assembly Systems, Munich, Germany, where he is Technical Lead in Image Processing for the Vision System of SiPlace placement machines, used in SMT assembly.