Data Structures Using C

A culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational dat

Using Talk to Support Writing presents a new and innovative approach to the teaching of early writing. The authors discuss both theoretical and practical issues around using talk in the classroom to

Data warehousing has revolutionized the way businesses in a wide variety of industries perform analysis and make strategic decisions. Since the first edition of Data Warehousing Fundamentals, numerou

This is the continuing story of James C. Patch and JacobMasterson. The fi rst book, The Books of James C. Patch: The Barrier chronicled the adventures of Jacob Masterson as heattempted to destroy the

Covering basic physical concepts, experimental methods, and applications, this book is an indispensable text on the fascinating science of magnetism, and an invaluable source of practical reference data. Accessible, authoritative, and assuming undergraduate familiarity with vectors, electromagnetism and quantum mechanics, this textbook is well suited to graduate courses. Emphasis is placed on practical calculations and numerical magnitudes - from nanoscale to astronomical scale - focussing on modern applications, including permanent magnet structures and spin electronic devices. Each self-contained chapter begins with a summary, and ends with exercises and further reading. The book is thoroughly illustrated with over 600 figures to help convey concepts and explain ideas clearly. Easily digestible tables and data sheets provide a wealth of useful information on magnetic properties. The thirty-eight principal magnetic materials, and many more related compounds, are treated in detail.

Over the years, researchers have reported solubility data in the chemical, pharmaceutical, engineering, and environmental literature for several thousand organic compounds. Until the first publication

The use of formal statistical methods to analyse quantitative data in forensic science has increased considerably over the last few years. Students, researchers and practitioners in forensic science r

International interest in the sophisticated and aesthetic visualization of complex information made Data Flow a bestseller. Today, more and more graphic designers, advertising agencies, motion designe

It's a research discipline in the throes of growth because of the quantity of data that can be assembled and the need to make sense of it. Effective mining of huge amounts of complex data requires a f

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as

Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, cl

Evolutionary Topology Optimization of Continuum Structures treads new ground with a comprehensive study on the techniques and applications of evolutionary structural optimization (ESO) and its later v

This book develops and details rigorous design methodologies and performance measures for the control of modern Smart Structures. The spatially distributed/continuum or distributed parameter nature of

This is the third war data handbook of the Correlates of War project, which seeks to gather comprehensive quantifiable and categorical data on all types of wars. The project categorizes wars according

This book is written for students and practitioners who are looking for a single introductory Excel-based resource that covers three essential business and analytical skills: data analysis, business m

A timely update of the classic book on the theory and application of random data analysis First published in 1971, Random Data served as an authoritative book on the analysis of experime

Presenting the fundamental tools of experimentation that are currently used by engineers and scientists, Measurement and Data Analysis for Engineering and Science, Second Edition covers the basics of

This book represents a collection of major research contributions over the last decade in the area of composite materials and sandwich structures supported by the U.S. Office of Naval Research.It cont

A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, California, USA, October 22-24, 2008, under the auspices of the World Congress on Engineerin

Whereas getting exact data about living systems and sophisticated experimental procedures have primarily absorbed the minds of researchers previously, the development of high-throughput technologies h

Regulatory changes, market fluctuation, and new deal structures have ushered in a new era for the PIPEs market. Companies must understand the complexities of a market gone global, with private investm

Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Managem

Written by a team of leading researchers in the field, this handbook presents a comprehensive overview of the state of the art in the theory and applications of missing data analysis. It covers histor

Organised around problem solving, this book gently introduces the reader to computational simulation of biomedical transport processes, bridging fundamental theory with real-world applications. Using this book the reader will gain a complete foundation to the subject, starting with problem simplification, implementing it in software, through to interpreting the results, validation, and optimisation. Ten case studies, focusing on emerging areas such as thermal therapy and drug delivery, with easy to follow step-by-step instructions, provide ready-to-use templates for further applications. Solution process using the commonly used tool COMSOL Multiphysics is described in detail; useful biomedical property data and correlations are included; and background theory information is given at the end of the book for easy reference. A mixture of short and extended exercises make this book a complete course package for undergraduate and beginning graduate students in biomedical and biochemical eng

Determining orbits for natural and artificial celestial bodies is an essential step in the exploration and understanding of the Solar System. However, recent progress in the quality and quantity of data from astronomical observations and spacecraft tracking has generated orbit determination problems which cannot be handled by classical algorithms. This book presents new algorithms capable of handling the millions of bodies which could be observed by next generation surveys, and which can fully exploit tracking data with state-of-the-art levels of accuracy. After a general mathematical background and summary of classical algorithms, the new algorithms are introduced using the latest mathematical tools and results, to which the authors have personally contributed. Case studies based on actual astronomical surveys and space missions are provided, with applications of these new methods. Intended for graduate students and researchers in applied mathematics, physics, astronomy and aerospace

Temperature is probably the most influential of all climatic variables. Our only direct, quantitative knowledge of global temperatures comes from instruments operated over the last 150 or so years. Yet as crucial and as central as these data are to our understanding of the climate, they are largely taken for granted, even by many of those using them. Measuring Global Temperatures will fill this gap by explaining how global temperatures are measured, how the data are analysed, what the potential errors are, and what needs to be done to improve temperature measurement in the future. The book is of great interest to all meteorologists, climatologists, and hydrologists, and especially those concerned with climate change and global warming. It is written in accessible language with little mathematics, and so will appeal to students and amateur meteorologists with a strong interest in weather and climate.

What is the nature of syntactic structure? Why do some languages have radically free word order ('nonconfigurationality')? Do parameters vary independently (the micro-view) or can they co-vary en masse (the macro-view)? Mirrors and Microparameters examines these questions by looking beyond the definitional criterion of nonconfigurationality - that arguments may be freely ordered, omitted, and split. Drawing on data from Kiowa, a member of the largely undescribed Kiowa-Tanoan language family, the book reveals that classically nonconfigurational languages can nonetheless exhibit robustly configurational effects. Reconciling the cooccurrence of such freedom with such rigidity has major implications for the Principles and Parameters program. This approach to nonconfigurational languages challenges widespread assumptions of linguistic theory and throws light on the syntactic structures, ordering principles, and nature of parametrization that comprise Universal Grammar.

International contributors present new developments in the areas of data warehousing and data mining. An introduction gives an overview of data warehousing and its importance in providing support for

Because of its unique visual emphasis, Visual Six Sigma opens the doors for you to take an active role in data-driven decision making, empowering you to leverage your contextual knowledge to pose rele

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this book describes several advanced statistical topics that are particularly relevant to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects, can be found on the book's Web site: http://research.bus.wisc.edu/RegActuaries.

As the structures in our Universe are mapped out on ever larger scales, and with increasing detail, the use of inhomogeneous models is becoming an essential tool for analyzing and understanding them. This book reviews a number of important developments in the application of inhomogeneous solutions of Einstein's field equations to cosmology. It shows how inhomogeneous models can be employed to study the evolution of structures such as galaxy clusters and galaxies with central black holes, and to account for cosmological observations like supernovae dimming, the cosmic microwave background, baryon acoustic oscillations or the dependence of the Hubble parameter on redshift within classical general relativity. Whatever `dark matter' and `dark energy' turn out to be, inhomogeneities exist on many scales and need to be investigated with all appropriate methods. This book is of great value to all astrophysicists and researchers working in cosmology, from graduate students to academic research

Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and ap

Intended to help improve measurement and data collection methods in the behavioral, social, and medical sciences, this book demonstrates an expanded and accessible use of Generalizability Theory (G th

Inspired by the author's need for practical guidance in the processes of data analysis, A Practical Guide to Scientific Data Analysis has been written as a statistical companion for the working scient

This complete introduction to two-dimensional (2-D) information theory and coding provides the key techniques for modeling data and estimating their information content. Throughout, special emphasis is placed on applications to transmission, storage, compression, and error protection of graphic information. The book begins with a self-contained introduction to information theory, including concepts of entropy and channel capacity, which requires minimal mathematical background knowledge. It then introduces error-correcting codes, particularly Reed-Solomon codes, the basic methods for error-correction, and codes applicable to data organized in 2-D arrays. Common techniques for data compression, including compression of 2-D data based on application of the basic source coding, are also covered, together with an advanced chapter dedicated to 2-D constrained coding for storage applications. Numerous worked examples illustrate the theory, whilst end-of-chapter exercises test the reader's un

Although standard mixed effects models are useful in a range of studies, other approaches must often be used in correlation with them when studying complex or incomplete data. Mixed Effects Models for

Today the fundamentals of solid mechanics may be explained by numerical experiments using the finite element method. The explanation is detailed in this book using many examples. After a short review

The economic crisis of 2008 has shown that the capital markets need new theoretical and mathematical concepts to describe and price financial instruments. Focusing on interest rates and coupon bonds, this book does not employ stochastic calculus – the bedrock of the present day mathematical finance – for any of the derivations. Instead, it analyzes interest rates and coupon bonds using quantum finance. The Heath-Jarrow-Morton and the Libor Market Model are generalized by realizing the forward and Libor interest rates as an imperfectly correlated quantum field. Theoretical models have been calibrated and tested using bond and interest rates market data. Building on the principles formulated in the author's previous book (Quantum Finance, Cambridge University Press, 2004) this ground-breaking book brings together a diverse collection of theoretical and mathematical interest rate models. It will interest physicists and mathematicians researching in finance, and professionals working in th

Comprehensive Coverage of the New, Easy-to-Learn C#Although C, C++, Java, and Fortran are well-established programming languages, the relatively new C# is much easier to use for solving complex scient

As identity theft and corporate data vulnerability continue to escalate, corporations must protect both the valuable consumer data they collect and their own intangible assets. Both Congress and the