Java Data Object

Based on the authors’ market leading data structures books in Java and C++, this book offers a comprehensive, definitive introduction to data structures in Python by authoritative authors. Data Struct

"Preface The Matlab programming environment uses Java for numerous tasks, including networking, data-processing algorithms, and graphical user-interface (GUI). Matlab's internal Java classes can often

The field of multidimensional data structures is large and growing very quickly. Here, for the first time, is a thorough treatment of multidimensional point data, object and image-based representatio

For readers who know Java and have written at least a few programs in it, and are particularly familiar with anonymous inner classes, software consultant Holub explains programming in an object-orient

Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same e

Personal data, at least in the European legal lexicon, is not a conventional object of property rights. Yet, regardless of the actual legal circumstances, lively markets in personal data have become a

C# is the language of choice for learning how to program. It is a very well structured object-oriented language and avoids some of the problems of Java. An excellent free programming environment is a

Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob K

Astronomical surveys produce large amounts of photometric, spectroscopic and time-series data. Object classification, parameter determination, novelty detection and the discovery of structure in these

Applications, 2nd Edition focuses on moving object management, from the location management perspective to determining how constantly changing locations affect the traditional database and data mining

Web Programming for Business: PHP Object-Oriented Programming with Oracle focuses on fundamental PHP coding, giving students practical, enduring skills to solve data and technical problems in business

Explores some of the more advanced tools in computer programming such as structured problem solving, object- oriented programming, data abstraction, and the comparative analysis of algorithms. The aut

Great advances have been made in the database field. Relational and object- oriented databases, distributed and client/server databases, and large-scale data warehousing are among the more notable. Ho

JavaTech is a practical introduction to the Java programming language with an emphasis on the features that benefit technical computing. After presenting the basics of object-oriented programming in Java, it examines introductory topics such as graphical interfaces and thread processes. It goes on to review network programming and develops Web client-server examples for tasks such as monitoring remote devices. The focus then shifts to distributed computing with RMI. Finally, it examines how Java programs can access the local platform and interact with hardware. Topics include combining native code with Java, communication via serial lines, and programming embedded processors. An extensive web site supports the book with additional instructional materials. JavaTech demonstrates the ease with which Java can be used to create powerful network applications and distributed computing applications. It will be used as a textbook for programming courses, and by researchers who need to learn Jav

Using a wide range of data from real-life speech situations, this introduction to politeness theory breaks away from the limitations of current models. It argues that the proper object of study in po

This volume of essays is devoted to a careful examination of the importance of methodology in the study of primary religious data. The essays focus on the 'Sacred' as an ultimate object of descriptive

Digital objects, in their simplest form, are data. They are also a new kind of industrial object that pervades every aspect of our life today—as online videos, images, text files, e-mails, blog posts,

The object of this book is to explain how to create a synthesis of complex biostratigraphic data, and how to extract from such a synthesis a relative time scale based exclusively on the fossil content

This text closely examines ideas, analysis, and implementation details of data structures as a specialised topic in applied algorithms. It looks at efficient ways to realise query and update operations on sets of numbers, intervals, or strings by various data structures, including: search trees; structures for sets of intervals or piece-wise constant functions; orthogonal range search structures; heaps; union-find structures; dynamization and persistence of structures; structures for strings; and hash tables. Instead of relegating data structures to trivial material used to illustrate object-oriented programming methodology, this is the first volume to show data structures as a crucial algorithmic topic. Numerous code examples in C and more than 500 references make Advanced Data Structures an indispensable text.

Geometric and topological inference deals with the retrieval of information about a geometric object using only a finite set of possibly noisy sample points. It has connections to manifold learning and provides the mathematical and algorithmic foundations of the rapidly evolving field of topological data analysis. Building on a rigorous treatment of simplicial complexes and distance functions, this self-contained book covers key aspects of the field, from data representation and combinatorial questions to manifold reconstruction and persistent homology. It can serve as a textbook for graduate students or researchers in mathematics, computer science and engineering interested in a geometric approach to data science.

This book illustrates a set of tools - story grammars, relational data models, and network models - that can be profitably used for the collection, organization, and analysis of narrative data in socio-historical research. A story grammar, or Subject-Action-Object and their modifiers, is the linguistic tool the author uses to structure narrative for the purpose of collecting event data. Relational database models make such complex data collection schemes practically feasible in a computer environment. Finally, network models are a statistical tool best suited to analyze this type of data. Driven by the metaphors of the journal (from … to) and the alchemy (words into numbers), the book leads the reader throughout a number of paths, from substantive to methodological issues, across time and disciplines: sociology, linguistics, literary criticism, history, statistics, computer science, philosophy, cognitive psychology, political science.

C# programmers: no more translating data structures from C++ or Java to use in your programs! Mike McMillan provides a tutorial on how to use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the .NET Framework library, as well as those developed by the programmer. The approach is very practical, using timing tests rather than Big O notation to analyze the efficiency of an approach. Coverage includes arrays and array lists, linked lists, hash tables, dictionaries, trees, graphs, and sorting and searching algorithms, as well as more advanced algorithms such as probabilistic algorithms and dynamic programming. This is the perfect resource for C# professionals and students alike.

This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data. With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. • Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry • A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, f

A textbook that uses a hands-on approach to teach principles of programming languages, with Java as the implementation language.This introductory textbook teaches the principles of programming languages by using an experiential learning style, in which students learn about language features by realizing those features in a pedagogical compiler. Students use Java―the most commonly used programming language in the first two years of the computer science curriculum―as the implementation language throughout. The book also discusses a range of emerging topics in programming languages missing from existing textbooks, including concurrency, Big Data, and event-driven programming. The goal is to prepare students to design, implement, analyze, and understand both domain-specific and general-purpose programming languages. The book first develops basic concepts in languages, including means of computation using primitive values, means of combination such as variable definition and functions, an

What can emission lines tell us about an astrophysical object? A workshop at the Space Telescope Science Institute was dedicated to address just this question – for a host of objects (including planetary nebulae and active galactic nuclei) across a broad range of wavelengths (from the infrared through to gamma-rays). Thirteen review articles from internationally renowned experts are presented in this volume. They provide an edited and coherent overview of the latest technical data, techniques in and applications of the study of emission lines from a variety of objects. Chapters include the theory of radiative transfer, photoionising shocks, and emission lines from stellar winds, as well as useful summaries of abundance determinations, atomic data, and diagnostics for IR, UV, gamma-ray and molecular lines. Together these review articles provide an overview of the analysis of emission lines. They summarise current knowledge, highlight outstanding problems and provide focus for fruitful f

Building on his highly successful textbook on C++, David Yevick provides a concise yet comprehensive one-stop course in three key programming languages, C++, Java and Octave (a freeware alternative to MATLAB). Employing only public-domain software, this book presents a unique overview of numerical and programming techniques, including object-oriented programming, elementary and advanced topics in numerical analysis, physical system modelling, scientific graphics, software engineering and performance issues. Compact, transparent code in all three programming languages is applied to the fundamental equations of quantum mechanics, electromagnetics, mechanics and statistical mechanics. Uncommented versions of the code that can be immediately modified and adapted are provided online for the more involved programs. This compact, practical text is an invaluable introduction for students in all undergraduate- and graduate-level courses in the physical sciences or engineering that require numer

A systematic program design method can help developers ensure the correctness and performance of programs while minimizing the development cost. This book describes a method that starts with a clear specification of a computation and derives an efficient implementation by step-wise program analysis and transformations. The method applies to problems specified in imperative, database, functional, logic and object-oriented programming languages with different data, control and module abstractions. Designed for courses or self-study, this book includes numerous exercises and examples that require minimal computer science background, making it accessible to novices. Experienced practitioners and researchers will appreciate the detailed examples in a wide range of application areas including hardware design, image processing, access control, query optimization and program analysis. The last section of the book points out directions for future studies.

Avoiding overly large blocks of code used in most other database programming books, this book shows a simple and easy way to create database programs and explains how to build professional and practical databases more efficiently. In addition to Design Tools and Wizards, the runtime object method is also discussed and analyzed to let users design and implement more sophisticated data-driven applications with complicated coding techniques. Three popular database systems – Microsoft Access, SQL Server 2005, and Oracle Database 10g Express Edition (XE) – are discussed in detail, with practical examples and sample projects. This book will appeal to college students, programmers, and software engineers alike. Sample code and additional exercise questions for students, as well as solutions and lecture slides for instructors, are available via the Web (www.cambridge.org/9780521712354).

In the first half of the nineteenth century autobiography became, for the first time, an explicitly commercial genre. Drawing together quantitative data on the Victorian book market, insights from the business ledgers of Victorian publishers and close readings of mid-century novels, Sean Grass demonstrates the close links between these genres and broader Victorian textual and material cultures. This book offers fresh perspectives on major works by Charles Dickens, George Eliot, Mary Elizabeth Braddon, Wilkie Collins and Charles Reade, while also featuring archival research that reveals the volume, diversity, and marketability of Victorian autobiographical texts for the first time. Grass presents life-writing not as a stand-alone genre, but as an integral part of a broader movement of literary, cultural, legal and economic practices through which the Victorians transformed identity into a textual object of capitalist exchange.

This book analyses the phenomenon of digitally mediated property and considers how it problematises the boundary between human and nonhuman actors. The book addresses the increasingly porous border between personhood and property in digitized settings and considers how the increased commodification of knowledge makes visible a rupture in the liberal concept of the property owning, free, person. Engaging with the latest work in posthumanist and new materialist theory, it shows, how property as a concept as well as a means for control, changes fundamentally under advanced capitalism.Such change is exemplified by the way in which data, as an object of commodification, is extracted from human activities yet is also directly used to affectively control - or nudge - humans. Taking up a range of human engagements with digital platforms and coded architectures, as well as the circulation of affects through practices of artificial intelligence that are employed to shape behaviour, the book argu

'What's going to happen next?' Time series data hold the answers, and Bayesian methods represent the cutting edge in learning what they have to say. This ambitious book is the first unified treatment of the emerging knowledge-base in Bayesian time series techniques. Exploiting the unifying framework of probabilistic graphical models, the book covers approximation schemes, both Monte Carlo and deterministic, and introduces switching, multi-object, non-parametric and agent-based models in a variety of application environments. It demonstrates that the basic framework supports the rapid creation of models tailored to specific applications and gives insight into the computational complexity of their implementation. The authors span traditional disciplines such as statistics and engineering and the more recently established areas of machine learning and pattern recognition. Readers with a basic understanding of applied probability, but no experience with time series analysis, are guided fro

The New General Catalogue (NCG), originally created in 1888, is the source for referencing bright nebulae and star clusters, both in professional and amateur astronomy. With 7840 entries, it is the most-used historical catalogue of observational astronomy, and NGC numbers are commonly used today. However, the fascinating history of the discovery, observation, description and cataloguing of nebulae and star clusters in the nineteenth century has largely gone untold, until now. This well-researched book is the first comprehensive historical study of the NGC, and is an important resource to all those with an interest in the history of modern astronomy and visual deep-sky observing. It covers the people, observatories, instruments and methods involved in nineteenth-century visual deep-sky observing, as well as prominent deep-sky objects. The book also compares the NGC to modern object data, demonstrating how important the NGC is in observational astronomy today.

Geometric tomography deals with the retrieval of information about a geometric object from data concerning its projections (shadows) on planes or cross-sections by planes. It is a geometric relative of computerized tomography, which reconstructs an image from X-rays of a human patient. The subject overlaps with convex geometry and employs many tools from that area, including some formulas from integral geometry. It also has connections to discrete tomography, geometric probing in robotics and to stereology. This comprehensive study provides a rigorous treatment of the subject. Although primarily meant for researchers and graduate students in geometry and tomography, brief introductions, suitable for advanced undergraduates, are provided to the basic concepts. More than 70 illustrations are used to clarify the text. The book also presents 66 unsolved problems. Each chapter ends with extensive notes, historical remarks, and some biographies. This edition includes numerous updates and imp

The Bobbio Missal was copied in south-eastern Gaul around the end of the seventh and beginning of the eighth century. It contains a unique combination of a lectionary and a sacramentary, to which a plethora of canonical and non-canonical material was added. The Missal is therefore highly regarded by liturgists; but, additionally, medieval historians welcome the information to be derived from material attached to the codex, which provides valuable data about the role and education of priests in Francia at that time, and indeed on their cultural and ideological background. The breadth of specialist knowledge provided by the team of scholars writing for this book enables the manuscript to be viewed as a whole, not as a narrow liturgical study. Collectively, the essays view the manuscript as physical object: they discuss the contents, they examine the language, and they look at the cultural context in which the codex was written.

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo

This book provides a qualitative, quantitative, and theoretical analysis of Differential Object Marking (DOM) in Catalan within the broader Romance context. It integrates extensive modern and historical empirical data with formal theory to advance understanding of DOM in Romance and beyond.

Whereas Kolmogorov complexity is the accepted absolute measure of information content of an individual finite object, a similarly absolute notion is needed for the relation between an individual data

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective m