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Release Date: June 13, 2005

Release Date: January 09, 2009

"This is an eminently readable book which an ordinary programmer, unskilled in mathematical analysis and wary of theoretical algorithms, ought to be able to pick up and get a lot out of.."- Steve Summit, author of C Programming FAQs Sedgewick has a real gift for explaining concepts in a way that makes them easy to understand. The use of real programs in page-size (or less) chunks that can be easily understood is a real plus. The figures, programs, and tables are a significant contribution to the learning experience of the reader; they make this book distinctive.- William A. Ward, University of South Alabama Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250, 000 programmers! This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language.Highlights Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures Greater emphasis on abstract data types (ADTs) than in previous editions Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations New implementations of binomial queues, multiway radix sorting, Batcher's sorting networks, randomized BSTs, splay trees, skip lists, multiway tries, and much more Increased quantitative information about the algorithms, including extensive empirical studies and basic analytic studies, giving you a basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.

Release Date: December 17, 1994

"This is an eminently readable book which an ordinary programmer, unskilled in mathematical analysis and wary of theoretical algorithms, ought to be able to pick up and get a lot out of.."- Steve Summit, author of C Programming FAQs Sedgewick has a real gift for explaining concepts in a way that makes them easy to understand. The use of real programs in page-size (or less) chunks that can be easily understood is a real plus. The figures, programs, and tables are a significant contribution to the learning experience of the reader; they make this book distinctive.- William A. Ward, University of South Alabama Robert Sedgewick has thoroughly rewritten and substantially expanded his popular work to provide current and comprehensive coverage of important algorithms and data structures. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250, 000 programmers! This particular book, Parts 1-4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. The algorithms and data structures are expressed in concise implementations in C, so that you can both appreciate their fundamental properties and test them on real applications. Of course, the substance of the book applies to programming in any language.Highlights Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures Greater emphasis on abstract data types (ADTs) than in previous editions Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations New implementations of binomial queues, multiway radix sorting, Batcher's sorting networks, randomized BSTs, splay trees, skip lists, multiway tries, and much more Increased quantitative information about the algorithms, including extensive empirical studies and basic analytic studies, giving you a basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are a student learning the algorithms for the first time or a professional interested in having up-to-date reference material, you will find a wealth of useful information in this book.

Release Date: November 20, 2009

Release Date: January 01, 1999

If you haven't worked with T1 before, you could be in for an unpleasant surprise. If you have, you'll already know that T1, the current network standard for business and professional Internet access, is neither efficient, easy to use, nor particularly well-suited to data transmission. T1: A Survival Guide, a practical, applied reference on T1 data transport, is a life raft for navigating the shoals of a 40-year-old technology originally designed for AT&T's voice network. Throughout T1's long life, network administrators have mainly learned it by apprenticeship, stumbling on troubleshooting tidbits and filing them away until they were needed again. This book brings together in one reference the information you need to set up, test, and troubleshoot T1. T1: A Survival Guide covers the following broad topics: What components are needed to build a T1 line, and how those components interact to transmit data effectively How to use standardized link layer protocols to adapt the T1 physical layer to work with data networks How to troubleshoot problems and work with the telephone company, equipment manufacturers, and Internet service providers In spite of its limitations, T1 is a proven, reliable technology that currently meets the need for medium-speed, high reliability Internet access by institutions of many sizes, and it's likely to be around for a while. T1: A Survival Guide will take the guesswork out of using T1 as a data transport.

One of the most challenging issues facing our current information society is the accelerating accumulation of data trails in transactional and communication systems, which may be used not only to profile the behaviour of individuals for commercial, marketing and law enforcement purposes, but also to locate and follow things and actions. Data mining, convergence, interoperability, ever increasing computer capacities and the extreme miniaturisation of the hardware are all elements which contribute to a major contemporary challenge: the profiled world. This interdisciplinary volume offers twenty contributions that delve deeper into some of the complex but urgent questions that this profiled world addresses to data protection and privacy.The chapters of this volume were all presented at the second Conference on Privacy and Data Protection (CPDP2009) held in Brussels in January 2009 (www.cpdpconferences.org). The yearly CPDP conferences aim to become Europe's most important meeting where academics, practit

Release Date: June 01, 2006

Data and knowledge play a key role in both current and future GRIDs. The issues concerning representation, discovery, and integration of data and knowledge in dynamic distributed environments can be addressed by exploiting features offered by GRID Technologies. Current research activities are leveraging the GRID for the provision of generic- and domain-specific solutions and services for data management and knowledge discovery.Knowledge and Data Management in GRIDs is the third volume of the CoreGRID series and brings together scientific contributions by researchers and scientists working on storage, data, and knowledge management in GRID and Peer-to-Peer systems. This volume presents the latest GRID solutions and research results in key areas of knowledge and data management such as distributed storage management, GRID databases, Semantic GRID and GRID-aware data mining.Knowledge and Data Management in GRIDs is designed for a professional audience, composed of researchers and practitioners in industry. This

A glyph--short for hieroglyphic--is a form of picture writing that conveys information. This book uses glyphs to teach math concepts that are linked to the new NCTM Standards. There are four key parts to each glyph: a legend (or survey questions); directions for the teacher that tell students what to draw, color, or write based on answers to questions; a glyph pattern; and recording sheets. Using the sheets to collect, interpret, and analyze data, students solve problems using number sense, measurement, geometry, algebra, proportional reasoning, and probability. While gaining a better understanding of math concepts, children also will have fun while learning mathematics. (Grades 1-3)

Release Date: March 22, 2010

Release Date: July 01, 1996

Release Date: October 28, 2010

A 'design classic' is an industrially manufactured object with timeless aesthetic value. It serves as a standard of its kind and, despite the year in which it was designed, is still up to date. The collection presented in these three volumes has been put together by a group of experts following the above criteria. The objects are presented chronologically, beginning with an elegant pair of Chinese bonsai scissors from the early 1800s, still in production today, and ending with Jasper Morrison's recent 'brunch set', which is destined to become a 'classic'. Glancing through the volumes, the reader will gain an understanding not only of the history of design, but a history of taste and culture. The book is an extraordinary journey through the objects that have shaped our society, from the first attempts to combine function and beauty in the nineteenth century, through the machine aesthetics of the thirties, the advent of plastic and other new materials in the fifties and sixties, up to the 'classics'-to-be of the last ten years. The book includes not only classic objects created by great and internationally renowned designers, such as Breuer, Le Corbusier, Dreyfuss, Eames, Yanagi and Castiglioni, to name but a few, but also anonymously designed pieces, such as the clothes peg, the deck chair, the corkscrew and the chopstick, which, in spite of lacking a specific designer, have achieved such perfection in design and functionality that they have eliminated the possibility of improvement. From the paperclip, to the Alvar Aalto Savoy vase, to the Jaguar E Type, all of the objects featured in the book fill our desks, cupboards, kitchens, purses, dreams and pockets. Each product is presented on two, four or six pages and accompanied by a text, written by one of over fifty experts in the field of design. The texts provide a historical context, with key information about the development of the design, and an explanation as to why that particular design is important and groundbreaking. The texts also uncover curious anecdotes about the design, and the process involved in creating it. In many cases the products are described with details that have not been published before, informing the reader about materials and process, in addition to providing rich insights into each designer's oeuvre. The contributors have each been invited to write in accordance with their area of specialty and passion. Not only writers, but designers, retailers, critics, curators, architects, historians, and professors, each of international renown, combine to bring a unique perspective on design that is highly detailed and refreshing. Through the informative texts and dazzling quantity of images including sketches, patent drawings, posters, comics and so on, we learn that the safety pin was patented in 1849 and that the famous Thonet chair N. 14, designed in 1859, never went out of production. We realize how clever the zip fastener is and how beautiful the Concorde. While this collection will be groundbreaking in terms of its range of products and periods, it is also the first of its kind with regards to presenting accurate information. With Alan Fletcher's beautiful design, this is a unique collection that unites factual information with rarely seen images. "999 Design Classics" is a honed and laboriously-selected list of products, most of which are still in production. The objects contained within truly encapsulate what design is and what design will be for decades to come. The following categories of product are featured in the book: Aeroplanes, Ashtrays, Bottle Openers, Bath accessories, Benches, Bicycles, Bins, Boats, Bottles, Bowls, Boxes, Briefcases, Buses, Cabs, Cars, Calculators, Calendars, Cameras, Candleholders, Caravan, Chairs (armchairs, folding chair, lounge chairs, office chairs, sofas, stools), Clocks, Clothes Stands, Cocktail Shakers, Computers, Containers, Crayons, Cruets, Desks, Door Handles, Drill Bits, Egg Cups, Fans, Flasks, Flatware, Games

Thirty-Three and a Third is a series of short books about critically acclaimed and much-loved albums of the past 40 years. Over 50, 000 copies have been sold! “Passionate, obsessive, and smart.” —Nylon “…an inspired new series of short books about beloved works of vinyl.” —Details Nicholas Rombes is an English professor at the University of Detroit Mercy, where he teaches and writes about film, music, and pop culture. His writing has appeared in a range of journals and magazines, including Exquisite Corpse (edited by Andrei Codrescu) and McSweeney’s. He is also the editor of the forthcoming book Post-Punk Cinema. Description What could be more punk rock than a band that never changed, a band that for decades punched out three-minute powerhouses in the style that made them famous? The Ramones’ repetition and attitude inspired a genre, and Ramones set its tone. Nicholas Rombes examines punk history, with the recording of Ramones at its core, in this inspiring and thoroughly researched justification of his obsession with the album. Excerpt: When I sat down to write about the album’s opening song, “Blitzkreig Bop, ” my first line was “This is the best opening song to any rock album.” Then I decided that sounded too creepily fanatic and more than a little disingenuous, since I haven't heard every rock album ever made, and I took it out. But then I went downstairs to the turntable and played it and midway through ran back upstairs and put the line back in even before the screensaver clicked in. Here’s why: “Blitzkrieg Bop” succeeds not only as a song in its own right, but also as a promise kept. The songs that follow live up to the speed, humor, menace, absurdity, and mystery of that first song, whose opening lines “Hey ho, let's go” offer not so much a warning as an invitation to the listener, an invitation and a threat that the song isn’t a fluke or a one-off, but that it sets the stage for an entire album that will be fast and loud.>

3-2-1 Code It! 3rd Edition is your comprehensive learning resource for coding, combining ICD-9-CM, CPT, and HCPCS Level II coding concepts into one convenient package for beginning and more experienced coders alike. This resource includes information about career opportunities for coders, stresses the importance of joining professional organizations and obtaining credentials, and explains how to develop opportunities for career advancement. When you are ready to earn a coding credential, 3-2-1 Code It! 3rd Edition will help you prepare and practice for your professional career.

This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models.Praise for The Data Model Resource Book, Volume 3"Len and Paul look beneath the superficial issues of data modeling and have produced a work that is a must for every serious designer and manager of an IT project."—Bill Inmon, World-renowned expert, speaker, and author on data warehousing and widely recognized as the "father of data warehousing"The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling is a great source for reusable patterns you can use to save a tremendous amount of time, effort, and cost on any data modeling effort. Len Silverston and Paul Agnewhave provided an indispensable reference of very high-quality patterns for the most foundational types of datamodel structures. This book represents a revolutionary leap in moving the data modeling profession forward."—Ron Powell, Cofounder and Editorial Director of the Business Intelligence Network"After we model a Customer, Product, or Order, there is still more about each of these that remains to be captured, such as roles they play, classifications in which they belong, or states in which they change. The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling clearly illustrates these common structures. Len Silverston and Paul Agnew have created a valuable addition to our field, allowing us to improve the consistency and quality of our models by leveraging the many common structures within this text."—Steve Hoberman, Best-Selling Author of Data Modeling Made Simple"The large national health insurance company I work at has actively used these data patterns and the (Universal Data Models) UDM, ahead of this book, through Len Silverston’s UDM Jump Start engagement. The patterns have found their way into the core of our Enterprise Information Model, our data warehouse designs, and progressively into key business function databases. We are getting to reuse the patterns across projects and are reaping benefits in understanding, flexibility, and time-to-market. Thanks so much."—David Chasteen, Enterprise Information Architect"Reusing proven data modeling design patterns means exactly that. Data models become stable, but remain very flexible to accommodate changes. We have had the fortune of having Len and Paul share the patterns that are described in this book via our engagements with Universal Data Models, LLC. These data modeling design patterns have helped us to focus on the essential business issues because we have leveraged these reusable building blocks for many of the standard design problems. These design patterns have also helped us to evaluate the quality of data models for their intended purpose. Many times there are a lot of enhancements required. Too often the very specialized business-oriented data model is also implemented physically. This may have significant drawbacks to flexibility. I’m looking forward to increasing the data modeling design pattern competence within Nokia with the help of this book."—Teemu Mattelmaki, Chief Information Architect, Nokia"Once again, Len Silverston, this time together with Paul Agnew, has made a valuable contribution to the body of knowledge about datamodels, and the act of building sound data models. As a professional data modeler, and teacher of data modeling for almost three decades, I have always been aware that

Release Date: October 01, 1999

All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

This third volume of the best-selling "Data Model Resource Book" series revolutionizes the data modeling discipline by answering the question "How can you save significant time while improving the quality of any type of data modeling effort?" In contrast to the first two volumes, this new volume focuses on the fundamental, underlying patterns that affect over 50 percent of most data modeling efforts. These patterns can be used to considerably reduce modeling time and cost, to jump-start data modeling efforts, as standards and guidelines to increase data model consistency and quality, and as an objective source against which an enterprise can evaluate data models.Praise for The Data Model Resource Book, Volume 3"Len and Paul look beneath the superficial issues of data modeling and have produced a work that is a must for every serious designer and manager of an IT project."—Bill Inmon, World-renowned expert, speaker, and author on data warehousing and widely recognized as the "father of data warehousing"The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling is a great source for reusable patterns you can use to save a tremendous amount of time, effort, and cost on any data modeling effort. Len Silverston and Paul Agnewhave provided an indispensable reference of very high-quality patterns for the most foundational types of datamodel structures. This book represents a revolutionary leap in moving the data modeling profession forward."—Ron Powell, Cofounder and Editorial Director of the Business Intelligence Network"After we model a Customer, Product, or Order, there is still more about each of these that remains to be captured, such as roles they play, classifications in which they belong, or states in which they change. The Data Model Resource Book, Volume 3: Universal Patterns for Data Modeling clearly illustrates these common structures. Len Silverston and Paul Agnew have created a valuable addition to our field, allowing us to improve the consistency and quality of our models by leveraging the many common structures within this text."—Steve Hoberman, Best-Selling Author of Data Modeling Made Simple"The large national health insurance company I work at has actively used these data patterns and the (Universal Data Models) UDM, ahead of this book, through Len Silverston’s UDM Jump Start engagement. The patterns have found their way into the core of our Enterprise Information Model, our data warehouse designs, and progressively into key business function databases. We are getting to reuse the patterns across projects and are reaping benefits in understanding, flexibility, and time-to-market. Thanks so much."—David Chasteen, Enterprise Information Architect"Reusing proven data modeling design patterns means exactly that. Data models become stable, but remain very flexible to accommodate changes. We have had the fortune of having Len and Paul share the patterns that are described in this book via our engagements with Universal Data Models, LLC. These data modeling design patterns have helped us to focus on the essential business issues because we have leveraged these reusable building blocks for many of the standard design problems. These design patterns have also helped us to evaluate the quality of data models for their intended purpose. Many times there are a lot of enhancements required. Too often the very specialized business-oriented data model is also implemented physically. This may have significant drawbacks to flexibility. I’m looking forward to increasing the data modeling design pattern competence within Nokia with the help of this book."—Teemu Mattelmaki, Chief Information Architect, Nokia"Once again, Len Silverston, this time together with Paul Agnew, has made a valuable contribution to the body of knowledge about datamodels, and the act of building sound data models. As a professional data modeler, and teacher of data modeling for almost three decades, I have always been aware that

All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

Release Date: May 26, 2009

Store Search search Title, ISBN and Author A Portraiture of Quakerism 3 Volumes in 1 by Thomas Clarkson Estimated delivery 3-12 business days Format Paperback Condition Brand New Details ISBN 1406803251 ISBN-13 9781406803259 Title A Portraiture of Quakerism 3 Volumes in 1 Author Thomas Clarkson Format Paperback Year 2006 Pages 488 Publisher Echo Library Dimensions 6 in. x 1.1 in. x 9 in. About Us Grand Eagle Retail is the ideal place for all your reading and entertainment needs! With fast shipp

If you haven't worked with T1 before, you could be in for an unpleasant surprise. If you have, you'll already know that T1, the current network standard for business and professional Internet access, is neither efficient, easy to use, nor particularly well-suited to data transmission. T1: A Survival Guide, a practical, applied reference on T1 data transport, is a life raft for navigating the shoals of a 40-year-old technology originally designed for AT&T's voice network. Throughout T1's long life, network administrators have mainly learned it by apprenticeship, stumbling on troubleshooting tidbits and filing them away until they were needed again. This book brings together in one reference the information you need to set up, test, and troubleshoot T1. T1: A Survival Guide covers the following broad topics: What components are needed to build a T1 line, and how those components interact to transmit data effectively How to use standardized link layer protocols to adapt the T1 physical layer to work with data networks How to troubleshoot problems and work with the telephone company, equipment manufacturers, and Internet service providers In spite of its limitations, T1 is a proven, reliable technology that currently meets the need for medium-speed, high reliability Internet access by institutions of many sizes, and it's likely to be around for a while. T1: A Survival Guide will take the guesswork out of using T1 as a data transport.

A Straightforward, No-Nonsense Guide to Building the Most Accurate, Complete, and Useful Data Models Possible. How do I know if my data model is accurate? When is a model really complete? Is it possible for a model to be both technically perfect and of no use to an organization, and what can I do to avoid that problem? This book provides answers to these and other crucial data modeling questions. While there are plenty of books that describe the characteristics of finished high-quality data models, only The Data Modeling Handbook gets down to the nitty-gritty of actually building one. Packed with real-world examples, annotated diagrams, and a wealth of rules and best practices, this field-tested guide provides experienced data modelers, architects, and engineers with hands-on guidance from two noted data management experts.* The only book offering clear, straightforward rules and guidelines for judging model accuracy and completeness* Presents all rules in several notations, including IDEF1X, Martin, Chen, and Finkelstein* Compares and contrasts the most popular modeling styles and demonstrates how great models can be built using any type of notation* Explains how to use an organization's plans, policies, objectives, and strategies to build accurate, complete, and useful models* Offers detailed guidance to establishing a continuous quality evaluation program that's easy to implement and follow* Packed with real-world examples and annotated diagrams illustrating each point covered* Describes how to use Case tools most effectively to build high-quality models

Without a data strategy, the people within an organization have no guidelines for making decisions that are absolutely crucial to the success of the IT organization and to the entire organization. The absence of a strategy gives a blank check to those who want to pursue their own agendas, including those who want to try new database management systems, new technologies (often unproven), and new tools. This type of environment provides no hope for success. Data Strategy should result in the development of systems with less risk, higher quality systems, and reusability of assets. This is key to keeping cost and maintenance down, thus running lean and mean. Data Strategy provides a CIO with a rationale to counter arguments for immature technology and data strategies that are inconsistent with existing strategies. This book uses case studies and best practices to give the reader the tools they need to create the best strategy for the organization.

Release Date: January 26, 2010

Release Date: June 08, 2010