In the general area of style study or stylistics there is no shortage of ideas, definitions or published works. It is hoped, in the present volume, to contribute to the prosperity of the discipline mainly by clarifying and exemplifying how pragmatic considerations may be relevant to any study of style, in the conviction that pragmastylistics is more interesting and useful than stylistics on its own. The starting point must be a brief survey of the definitions and style and stylistics. The very form of the latter term suggests a scientific and orderly, rather than an intuitive or impressionistic, investigation of style. There are two separate levels of study: one, a general, methodical and scientific discipline; the other, an application of its methods or postulates to the analysis of the ‘style’ of a specific utterance, text, speaker, writer, movement or period. It is clear that, in order to approach either, we must first attempt to understand style.

R. M. W. Dixon's landmark 1972 grammar of the Dyirbal language of North Queensland is one of the best-known and most widely-cited language descriptions in the history of linguistics. In the fifty years since its publication, Dixon has continued his detailed work on the language, extending and refining the descriptions in light of more recent theoretical advances. The resulting A New Grammar of Dyirbal offers a comprehensive contemporary grammar of the language, reanalysed in myriad ways and drawing on an extensive corpus of texts. Among its many new features are further discussion of the applicative/causative derivation; a fresh focus on the role of the pervasive 'pivot', the syntactic linking of S and O functions; a detailed account of the two antipassives and their semantic contrast and phonological conditioning; and an extended account of relative clauses. The volume is accompanied by a companion website hosting the full set of textual data on which the grammar is based, as well as a thesaurus/dictionary of nouns, adjectives, and verbs across ten dialects of Dyirbal.

The quick way to learn Microsoft Word 2016! This is learning made easy. Get more done quickly with Word 2016. Jump in wherever you need answers--brisk lessons and colorful screenshots show you exactly what to do, step by step. Get easy-to-follow guidance from a certified Microsoft Office Specialist Master Learn and practice new skills while working with sample content, or look up specific procedures Create visually appealing documents for school, business, community, or personal purposes Use built-in tools to capture and edit graphics Present data in tables, diagrams, and charts Track and compile reference materials Manage document collaboration and review Fix privacy, accessibility, and compatibility issues Supercharge your efficiency by creating custom styles, themes, and templates

This book covers different topics on optimal design and operations with particular emphasis on chemical engineering applications. A wide range of optimization methods OCo deterministic, stochastic, global and hybrid OCo are considered. Containing papers presented at the bilateral workshop by British and Lithuanian scientists, the book brings together researchers'' contributions from different fields OCo chemical engineering including reaction and separation processes, food and biological production, as well as business cycle optimization, bankruptcy, protein analysis and bioinformatics. Sample Chapter(s). Chapter 1: Hybrid Methods for Optimisation (520 KB). Contents: Hybrid Methods for Optimisation (E S Fraga); An MILP Model for Multi-Class Data Classification (G Xu & L G Papageorgiou); Studying the Rate of Convergence of the Steepest Descent Optimisation Algorithm with Relaxation (R J Haycroft); Optimal Estimation of Parameters in Market Research Models (V Savani); A Redundancy Detection Approach to Mining Bioinformatics Data (H Camacho & A Salhi); Optimal Open-Loop Recipe Generation for Particle Size Distribution Control in Semi-Batch Emulsion Polymerisation (N Bianco & C D Immanuel); Multidimensional Scaling Using Parallel Genetic Algorithm (A Varoneckas et al.); Evaluating the Applicability of Time Temperature Integrators as Process Exploration and Validation Tools (S Bakalis et al.); Optimal Deflection Yoke Tuning (V Vaitkus et al.); and other papers. Readership: Academics, researchers, practitioners and postgraduates students in operations research and engineering."

This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization. The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE. The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems. Topics include: • Grammar design • Bias in GE • Mapping in GE • Theory of disruption in GE · Structured GE · Geometric semantic GE · GE and semantics · Multi- and Many-core heterogeneous parallel GE · Comparing methods to creating constants in GE · Financial modelling with GE · Synthesis of parallel programs on multi-cores · Design, architecture and engineering with GE · Computational creativity and GE · GE in the prediction of glucose for diabetes · GE approaches to bioinformatics and system genomics · GE with coevolutionary algorithms in cybersecurity · Evolving behaviour trees with GE for platform games · Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials

First Published in 2011. Routledge is an imprint of Taylor & Francis, an informa company.