<p/><br></br><p><b> Book Synopsis </b></p></br></br><b> <p><b>A unique guide to the design and implementation of simulation software</b> <p>This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development. <p>The book approaches the topic from the perspective of Zeigler's theory of modeling and simulation, introducing the theory's fundamental concepts and showing how to apply them to engineering problems. Readers will learn five necessary skills for building simulations of complicated systems: <ul><li>Working with fundamental abstractions for simulating dynamic systems</li> <li>Developing basic simulation algorithms for continuous and discrete event models</li> <li>Combining continuous and discrete event simulations into a coherent whole</li> <li>Applying strategies for testing a simulation</li> <li>Understanding the theoretical foundations of the modeling constructs and simulation algorithms</li></ul> <p>The central chapters of the book introduce, explain, and demonstrate the elements of the theory that are most important for building simulation tools. They are bracketed by applications to robotics, control and communications, and electric power systems; these comprehensive examples clearly illustrate how the concepts and algorithms are put to use. Readers will explore the design of object-oriented simulation programs, simulation using multi-core processors, and the integration of simulators into larger software systems. <p>The focus on software makes this book particularly useful for computer science and computer engineering courses in simulation that focus on building simulators. It is indispensable reading for undergraduate and graduate students studying modeling and simulation, as well as for practicing scientists and engineers involved in the development of simulation tools.<p/><br></br><p><b> From the Back Cover </b></p></br></br>Modern advances in medicine and biology are accompanied by an increasingly complex swirl of ethical dilemmas and debates. <i>Contemporary Debates in Bioethics</i> features a collection of divergent arguments contributed by today's top bioethics scholars that focus on core bioethical concerns of the twenty-first century. After presenting highly accessible introductions to specific issues, chapters proceed to tackle each side of such topical concerns as international medical research, human cloning, markets in human organs, abortion, gene and embryo copyrighting, physician assisted suicide, stem cell research, primate research, biomedical enhancement, and more. Provocative and timely, <i>Contemporary Debates in Bioethics</i> introduces a variety of perspectives that allow readers at all levels to gain critical insights and a deeper understanding of some of the most controversial and important issues of our day.<p/><br></br><p><b> Review Quotes </b></p></br></br><br><p>"Summing Up: Recommended. Lower-division undergraduates through graduate students." <i> </i>(<i>Choice</i>, 1 July 2014)</p><br><p/><br></br><p><b> About the Author </b></p></br></br><p><b>Arthur L. Caplan</b> is the Ors William F. and Virginia Connolly Mitty Professor and Head of the Division of Bioethics at New York University Langone Medical Center in New York City. He is the author or editor of 30 books and more than 550 papers in refereed journals. His most recent books are <i>Smart Mice Not So Smart People</i> (2006) and the <i>Penn Guide to Bioethics</i> (2009).</p> <p><b>Robert Arp</b> is co-editor of <i>Contemporary Debates in Philosophy of Biology</i> (2009), author of <i>Scenario Visualization: An Evolutionary Account of Creative Problem Solving (2008), and co-editor of Information and Living Systems: Philosophical and Scientific Perspectives</i> (2011).
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