Wow! eBook: Nonlinear Dynamics in Complex Systems - 6 new eBooks |  |
- Nonlinear Dynamics in Complex Systems
- System-Level Validation
- Making Computerized Provider Order Entry Work
- Mathematics of Discrete Structures for Computer Science
- Software Testing in the Cloud
- Understanding High-Dimensional Spaces
| Nonlinear Dynamics in Complex Systems Posted: 15 Jan 2013 05:54 AM PST
Book DescriptionWith many areas of science reaching across their boundaries and becoming more and more interdisciplinary, students and researchers in these fields are confronted with techniques and tools not covered by their particular education. Especially in the life- and neurosciences quantitative models based on nonlinear dynamics and complex systems are becoming as frequently implemented as traditional statistical analysis. Unfamiliarity with the terminology and rigorous mathematics may discourage many scientists to adopt these methods for their own work, even though such reluctance in most cases is not justified.This book bridges this gap by introducing the procedures and methods used for analyzing nonlinear dynamical systems.
Throughout this book all derivations are as detailed and explicit as possible, and everybody with some knowledge of calculus should be able to extract meaningful guidance follow and apply the methods of nonlinear dynamics to their own work."This book is a masterful treatment, one might even say a gift, to the interdisciplinary scientist of the future.""With the authoritative voice of a genuine practitioner, Fuchs is a master teacher of how to handle complex dynamical systems.""What I find beautiful in this book is its clarity, the clear definition of terms, every step explained simply and systematically."(J.A.Scott Kelso, excerpts from the foreword).
Table of contents Part II: Model Systems Part III: Mathematical Basics Book Details
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| Posted: 15 Jan 2013 05:52 AM PST
Book DescriptionThis book covers state-of-the art techniques for high-level modeling and validation of complex hardware/software systems, including those with multicore architectures. Readers will learn to avoid time-consuming and error-prone validation from the comprehensive coverage of system-level validation, including high-level modeling of designs and faults, automated generation of directed tests, and efficient validation methodology using directed tests and assertions. The methodologies described in this book will help designers to improve the quality of their validation, performing as much validation as possible in the early stages of the design, while reducing the overall validation effort and cost.
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| Making Computerized Provider Order Entry Work Posted: 15 Jan 2013 05:49 AM PST
Book DescriptionMaking Computerized Provider Order Entry Work is neither a scientific reference guide into medical informatics nor a book on theory or a summary of research studies in the field, but rather it is a practical guide to visioning and executing successful automation of physician workflow in the hospital environment. This adaptation of workflow is the work of a team, with leadership, clear vision, dedication, commitment, external drivers, experience, and the tireless work of those before us in this industry, who have paved the way with both successes and failure. Throughout the book, the author shares hard lessons-learned and guides the reader through the early warning signs that will help avoid the pitfalls. As systems progress, and the regulatory environments change, there will be new challenges and opportunities that will confront those setting up automated physician workflows. However, this book highlights and discusses all of the principles involved such as vision, leadership, project management and change management, which will always need to be incorporated to ensure project success. As such this book will be an important reference for anyone involved in the setting up or use of such systems from the physicians and medical professionals themselves through the medical informaticist to health system executives and other decision makers.
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| Mathematics of Discrete Structures for Computer Science Posted: 15 Jan 2013 05:49 AM PST
Book DescriptionMathematics plays a key role in computer science, some researchers would consider computers as nothing but the physical embodiment of mathematical systems. And whether you are designing a digital circuit, a computer program or a new programming language, you need mathematics to be able to reason about the design — its correctness, robustness and dependability. This book covers the foundational mathematics necessary for courses in computer science. The common approach to presenting mathematical concepts and operators is to define them in terms of properties they satisfy, and then based on these definitions develop ways of computing the result of applying the operators and prove them correct. This book is mainly written for computer science students, so here the author takes a different approach: he starts by defining ways of calculating the results of applying the operators and then proves that they satisfy various properties. After justifying his underlying approach the author offers detailed chapters covering propositional logic, predicate calculus, sets, relations, discrete structures, structured types, numbers, and reasoning about programs. The book contains chapter and section summaries, detailed proofs and many end-of-section exercises – key to the learning process. The book is suitable for undergraduate and graduate students, and although the treatment focuses on areas with frequent applications in computer science, the book is also suitable for students of mathematics and engineering.
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| Posted: 15 Jan 2013 05:48 AM PST
Book DescriptionFor a large, complex system, the amount of test cases in a regression test suite can range from a few hundred to several thousands, which can take hours or even days to execute. Regression testing also requires considerable resources that are often not readily available. This precludes their use in an interactive setting, further contributing to an inefficient testing process. Cloud computing offers the use of virtualized hardware, effectively unlimited storage, and software services that can help reduce the execution time of large test suites in a cost-effective manner. The research presented by Tilley and Parveen leverages the resources provided by cloud computing infrastructure to facilitate the concurrent execution of test cases. They introduce a decision framework called SMART-T to support migration of software testing to the cloud, a distributed environment called HadoopUnit for the concurrent execution of test cases in the cloud, and a series of case studies illustrating the use of the framework and the environment. Experimental results indicate a significant reduction in test execution time is possible when compared with a typical sequential environment. Software testing in the cloud is a subject of high interest for advanced practitioners and academic researchers alike. For advanced practitioners, the issue of cloud computing and its impact on the field of software testing is becoming increasingly relevant. For academic researchers, this is a subject that is replete with interesting challenges; there are so many open problems that graduate students will be busy for years to come. To further disseminate results in this field, the authors created a community of interest called "Software Testing in the Cloud" (www.STITC.org), and they encourage all readers to get involved in this exciting new area.
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| Understanding High-Dimensional Spaces Posted: 15 Jan 2013 05:48 AM PST
Book DescriptionHigh-dimensional spaces arise as a way of modelling datasets with many attributes. Such a dataset can be directly represented in a space spanned by its attributes, with each record represented as a point in the space with its position depending on its attribute values. Such spaces are not easy to work with because of their high dimensionality: our intuition about space is not reliable, and measures such as distance do not provide as clear information as we might expect. There are three main areas where complex high dimensionality and large datasets arise naturally: data collected by online retailers, preference sites, and social media sites, and customer relationship databases, where there are large but sparse records available for each individual; data derived from text and speech, where the attributes are words and so the corresponding datasets are wide, and sparse; and data collected for security, defense, law enforcement, and intelligence purposes, where the datasets are large and wide. Such datasets are usually understood either by finding the set of clusters they contain or by looking for the outliers, but these strategies conceal subtleties that are often ignored. In this book the author suggests new ways of thinking about high-dimensional spaces using two models: a skeleton that relates the clusters to one another; and boundaries in the empty space between clusters that provide new perspectives on outliers and on outlying regions. The book will be of value to practitioners, graduate students and researchers.
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