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WINNER 2009 CHOICE AWARD OUTSTANDING ACADEMIC TITLE! The typical introduction to physics leaves readers with the impression that physics is about 30 different, unconnected topics such as motion, forces, gravity, electricity, light, heat, energy, read more
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System state estimation in the presence of noise is critical for control systems, signal processing, and many other applications in a variety of fields. Developed decades ago, the Kalman filter remains an important, powerful tool for estimating the var read more
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This work offers a unified presentation of the theory of binary polynomial transforms and details their numerous applications in nonlinear signal processing. The book also: introduces the Rademacher logical functions; read more
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Addressing how to manage the science-policy interface, this book presents a philosophical study of the issues surrounding uncertainty in scientific simulation, particularly concerning the role it plays in public policy regarding climate change. The aut read more
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The paradoxology of scientific inference refers to the study of the nature of scientific inference and evidence through controversies or, more precisely, paradoxes. This book analyzes paradoxes from many different perspectives, such as statistics, math read more
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Written in the same style as computer literacy textbooks, this textbook provides an introduction to the material and topics that will be covered in greater detail throughout a 4-year IT program. The text primarily emphasizes operating systems from the read more
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First published in 1992, Essentials of Engineering Mathematics is a widely popular reference ideal for self-study, review, and fast answers to specific questions. While retaining the style and content that made the first edition so successful, the s read more
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Table Of Contents:
INTRODUCTION TO GRAPH MODELS Graphs and Digraphs Common Families of Graphs Graph Modeling Applications Walks and Distance Paths, Cycles, and Trees Vertex and Edge Attributes: More ApplicationsSTRUCTURE AND RE read more
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Highlighting modern computational methods, Applied Stochastic Modelling, Second Edition provides students with the practical experience of scientific computing in applied statistics through a range of interesting real-world applications. It also succes read more
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