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Written for introductory courses in engineering design, this text illustrates conceptual design methods and project management tools through descriptions, examples, and case studies.
Science and engineering students depend heavily on concepts of mathematical modeling. In an age where almost everything is done on a computer, author Clive Dym believes that students need to understand and "own" the underlying mathematics that computers are doing on their behalf. His goal for Principles of Mathematical Modeling, Second Edition, is to engage the student reader in developing a foundational understanding of the subject that will serve them well into their careers. The first half of the book begins with a clearly defined set of modeling principles, and then introduces a set of foundational tools including dimensional analysis, scaling techniques, and approximation and validation techniques. The second half demonstrates the latest applications for these tools to a broad variety of subjects, including exponential growth and decay in fields ranging from biology to economics, traffic flow, free and forced vibration of mechanical and other systems, and optimization problems in biology, structures, and social decision making. Prospective students should have already completed courses in elementary algebra, trigonometry, and first-year calculus and have some familiarity with differential equations and basic physics. - Serves as an introductory text on the development and application of mathematical models - Focuses on techniques of particular interest to engineers, scientists, and others who model continuous systems - Offers more than 360 problems, providing ample opportunities for practice - Covers a wide range of interdisciplinary topics--from engineering to economics to the sciences - Uses straightforward language and explanations that make modeling easy to understand and apply New to this Edition: - A more systematic approach to mathematical modeling, outlining ten specific principles - Expanded and reorganized chapters that flow in an increasing level of complexity - Several new problems and updated applications - Expanded figure captions that provide more information - Improved accessibility and flexibility for teaching
A modern, unified introduction to structural modelling and analysis, with an emphasis on the application of energy methods.
Energy plays a central role in shaping our society and infrastructure, making it increasingly important for today's leaders to understand the impact of energy decisions. Discussions about energy often neglect important historical lessons about previous energy transformations and provide inadequate consideration of context - Driven by Demand takes a fresh approach by exploring the emergence of energy systems, outcomes and priorities. It outlines select historical and current events, challenges, and developing energy trends using a range of case studies. Readers will gain foundational knowledge about energy flows and end-uses, helping them to become more conversant about energy outcomes and priorities. This accessible book paves the way for broader discussions about societal resilience, privacy, and security concerns associated with the move towards 'smart' infrastructure. This is a must-read for business executives, policymakers and students working in energy policy, energy management and sustainable business.
This book integrates the fundamentals of artifical intelligence (AI) approaches to knowledge representation with engineering examples. Its unified treatment makes it an essential tool in this emerging new field. Combining an informed approach to AI with engineering problem solving, this book is suitable for an introductory course on AI/expert systems which is specifically offered to engineers. The text provides an in-depth appreciation of the AI fundamentals underlying knowledge-based systems and covers rule-based, frame-based, and object-oriented representation with many engineering illustrations.
Expository articles describing the role Hardy spaces, Bergman spaces, Dirichlet spaces, and Hankel and Toeplitz operators play in modern analysis.
This book is based largely on courses that the author taught at the Feinberg Graduate School of the Weizmann Institute. It conveys in a user-friendly way the basic and advanced techniques of linear algebra from the point of view of a working analyst. The techniques are illustrated by a wide sample of applications and examples that are chosen to highlight the tools of the trade. In short, this is material that the author has found to be useful in his own research and wishes that he had been exposed to as a graduate student. Roughly the first quarter of the book reviews the contents of a basic course in linear algebra, plus a little. The remaining chapters treat singular value decompositions, convexity, special classes of matrices, projections, assorted algorithms, and a number of applications. The applications are drawn from vector calculus, numerical analysis, control theory, complex analysis, convex optimization, and functional analysis. In particular, fixed point theorems, extremal problems, best approximations, matrix equations, zero location and eigenvalue location problems, matrices with nonnegative entries, and reproducing kernels are discussed. This new edition differs significantly from the second edition in both content and style. It includes a number of topics that did not appear in the earlier edition and excludes some that did. Moreover, most of the material that has been adapted from the earlier edition has been extensively rewritten and reorganized.
For many, a map is nothing more than a tool used to determine the location or distribution of something—a country, a city, or a natural resource. But maps reveal much more: to really read a map means to examine what it shows and what it doesn’t, and to ask who made it, why, and for whom. The contributors to this new volume ask these sorts of questions about maps of Latin America, and in doing so illuminate the ways cartography has helped to shape this region from the Rio Grande to Patagonia. In Mapping Latin America,Jordana Dym and Karl Offen bring together scholars from a wide range of disciplines to examine and interpret more than five centuries of Latin American maps.Individual chapters take on maps of every size and scale and from a wide variety of mapmakers—from the hand-drawn maps of Native Americans, to those by famed explorers such as Alexander von Humboldt, to those produced in today’s newspapers and magazines for the general public. The maps collected here, and the interpretations that accompany them, provide an excellent source to help readers better understand how Latin American countries, regions, provinces, and municipalities came to be defined, measured, organized, occupied, settled, disputed, and understood—that is, how they came to have specific meanings to specific people at specific moments in time. The first book to deal with the broad sweep of mapping activities across Latin America, this lavishly illustrated volume will be required reading for students and scholars of geography and Latin American history, and anyone interested in understanding the significance of maps in human cultures and societies.