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C++ Plus Data Structures by Nell Dale,Chip Weems,Tim Richards Pdf
Nell Dale’s C++ Plus Data Structures, Sixth Edition explores the specifications, applications, and implementations of abstract data types. Topics covered include modularization, data encapsulation, information hiding, object-oriented decomposition, algorithm analysis, and more.
Object-Oriented Data Structures Using Java by Nell Dale,Daniel Joyce,Chip Weems Pdf
Continuing the success of the popular second edition, the updated and revised Object-Oriented Data Structures Using Java, Third Edition is sure to be an essential resource for students learning data structures using the Java programming language. It presents traditional data structures and object-oriented topics with an emphasis on problem-solving, theory, and software engineering principles. Beginning early and continuing throughout the text, the authors introduce and expand upon the use of many Java features including packages, interfaces, abstract classes, inheritance, and exceptions. Numerous case studies provide readers with real-world examples and demonstrate possible solutions to interesting problems. The authors' lucid writing style guides readers through the rigor of standard data structures and presents essential concepts from logical, applications, and implementation levels. Key concepts throughout the Third Edition have been clarified to increase student comprehension and retention, and end-of-chapter exercises have been updated and modified. New and Key Features to the Third Edition: -Includes the use of generics throughout the text, providing the dual benefits of allowing for a type safe use of data structures plus exposing students to modern approaches. -This text is among the first data structures textbooks to address the topic of concurrency and synchonization, which are growing in the importance as computer systems move to using more cores and threads to obtain additional performance with each new generation. Concurrency and synchonization are introduced in the new Section 5.7, where it begins with the basics of Java threads. -Provides numerous case studies and examples of the problem solving process. Each case study includes problem description, an analysis of the problem input and required output, and a discussion of the appropriate data structures to use. -Expanded chapter exercises allow you as the instructor to reinforce topics for your students using both theoretical and practical questions. -Chapters conclude with a chapter summary that highlights the most important topics of the chapter and ties together related topics.
In this best-selling cookbook, TV's nutrition expert Dale Pinnock presents his unique and inspiring approach to healthy cooking. With 80 simple, tasty recipes, Dale shows how easy it can be to use food to benefit your health and complement conventional treatment. Alongside the recipes there is a glossary of key ingredients and the nutritional benefits they can bring, as well as advice on how food can make a real difference to more than thirty ailments and nine key bodily systems. Dale's delicious dishes, such as his date and walnut Energy Bombs and Pineapple Zing Smoothie, really can help give a boost to all of your body's systems and improve energy levels. Try the filling Tuna Steaks with Sweet Potato Wedges and Spring Greens packed full of Omega 3 which reduces inflammation caused by arthritis and even helps alleviate depression. From the The Famous Flu Fighter soup to Greek Pitta Pizza, and even decadent desserts such as Cheating Chocolate-Orange Delight, every recipe is easy to shop for and quick to prepare. With simple symbols to indicate which conditions each recipe can help, eating your way to good health has never been easier or more delicious.
Scale in Spatial Information and Analysis by Jingxiong Zhang,Peter Atkinson,Michael F. Goodchild Pdf
Now ubiquitous in modern life, spatial data present great opportunities to transform many of the processes on which we base our everyday lives. However, not only do these data depend on the scale of measurement, but also handling these data (e.g., to make suitable maps) requires that we account for the scale of measurement explicitly. Scale in Spatial Information and Analysis describes the scales of measurement and scales of spatial variation that exist in the measured data. It provides you with a series of tools for handling spatial data while accounting for scale. The authors detail a systematic strategy for handling scale issues from geographic reality, through measurements, to resultant spatial data and their analyses. They also explore a process-pattern paradigm in approaching scale issues. This is well reflected, for example, in chapters dealing with terrain analysis, in which scale in terrain derivatives is described in relation to the processing involved in the derivation of specific terrain variables from elevation data, and area classes, which are viewed as driven by class-forming covariates. Lastly, this book provides coverage of some of the issues related to scale that are relatively under-represented in the literature, such as the effects of scale on information content in remotely sensed images, and the interaction between scale and uncertainty that is increasingly important for spatial information and analysis. By taking a rigorous, scientific approach to scale and its various meanings in relation to the geographic world, the book alleviates some of the frustration caused by dealing with issues of scale. While past research has led to an increasing number of journal articles and a few books dedicated to scale modeling and change of scale, this book helps you to develop coherent strategies for scale modeling, highlighting applicability for a variety of fields, from geomatic engineering and geoinformatics to environmental modeling.
Precision Public Health by Tarun Weeramanthri,Hugh Dawkins,Gareth Baynam,Matthew Bellgard,Ori Gudes,James Semmens Pdf
Precision Public Health is a new and rapidly evolving field, that examines the application of new technologies to public health policy and practice. It draws on a broad range of disciplines including genomics, spatial data, data linkage, epidemiology, health informatics, big data, predictive analytics and communications. The hope is that these new technologies will strengthen preventive health, improve access to health care, and reach disadvantaged populations in all areas of the world. But what are the downsides and what are the risks, and how can we ensure the benefits flow to those population groups most in need, rather than simply to those individuals who can afford to pay? This is the first collection of theoretical frameworks, analyses of empirical data, and case studies to be assembled on this topic, published to stimulate debate and promote collaborative work.