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Dynamic Models in Biology offers an introduction to modern mathematical biology. This book provides a short introduction to modern mathematical methods in modeling dynamical phenomena and treats the broad topics of population dynamics, epidemiology, evolution, immunology, morphogenesis, and pattern formation. Primarily employing differential equations, the author presents accessible descriptions of difficult mathematical models. Recent mathematical results are included, but the author's presentation gives intuitive meaning to all the main formulae. Besides mathematicians who want to get acquainted with this relatively new field of applications, this book is useful for physicians, biologists, agricultural engineers, and environmentalists. Key Topics Include: - Chaotic dynamics of populations - The spread of sexually transmitted diseases - Problems of the origin of life - Models of immunology - Formation of animal hide patterns - The intuitive meaning of mathematical formulae explained with many figures - Applying new mathematical results in modeling biological phenomena Miklos Farkas is a professor at Budapest University of Technology where he has researched and instructed mathematics for over thirty years. He has taught at universities in the former Soviet Union, Canada, Australia, Venezuela, Nigeria, India, and Columbia. Prof. Farkas received the 1999 Bolyai Award of the Hungarian Academy of Science and the 2001 Albert Szentgyorgyi Award of the Hungarian Ministry of Education. - A 'down-to-earth' introduction to the growing field of modern mathematical biology - Also includes appendices which provide background material that goes beyond advanced calculus and linear algebra
This volume presents an entirely new analysis of the economics of futures markets, that will be of interest to both specialists in the area and the generalist economist seeking a new perspective. Through a combination of theoretical investigation and empirical application, three important themes are explored: the gains from futures trading and the efforts of emerging markets to reap these benefits; rationality and rival hypotheses of trader behaviour, such as noise trading; and the effect of regulatory tools on price formation.
Enterprise modeling (EM) has gained substantial popularity both in the academic community and among practitioners. A variety of EM methods, approaches, and tools are developed and offered on the market. In practice they are used for various p- poses such as business strategy development, process restructuring, as well as business and IT architecture alignment and governance. PoEM 2008, the First IFIP WG 8. 1 Working Conference on The Practice of Ent- prise Modeling, took place in Stockholm, Sweden. It is the first conference aiming to establish a dedicated forum where the use of EM in practice is addressed by bringing together researchers, users, and practitioners. The goals of PoEM 2008 were to - velop a better understanding of the practice of EM, to contribute to improved EM practice, as well as to share knowledge and experiences. The theme of PoEM 2008 was EM in different application contexts, e. g. , software development, including agile development, as well as business development, gove- ance, and change.
A riveting study of a generational transition with major implications for American Jewish life
Cognitive archaeology is a relatively new interdisciplinary science that uses cognitive and psychological models to explain archeological artifacts like stone tools, figurines, and art. Squeezing Minds From Stones is a collection of essays from early pioneers in the field, like archaeologists Thomas Wynn and Iain Davidson, and evolutionary primatologist William McGrew, to 'up and coming' newcomers like Shelby Putt, Ceri Shipton, Mark Moore, James Cole, Natalie Uomini, and Lana Ruck. Their essays address a wide variety of cognitive archaeology topics, including the value of experimental archaeology, primate archaeology, the intent of ancient tool makers, and how they may have lived and thought.
The discovery of toxic pollution at Love Canal brought ground water contamination to the forefront of public attention. Since then, ground water science and modeling have become increasingly important in evaluating contamination, setting regulations, and resolving liability issues in court. A clearly written explanation of ground water processes and modeling, Ground Water Models focuses on the practical aspects of model application. It: examines the role of models in regulation, litigation, and policy development; explains ground water processes and describes specific applications for models; presents emerging technologies; and offers specific recommendations for better use of ground water science in policy formation.
Tensor Product Model Transformation in Polytopic Model-Based Control offers a new perspective of control system design. Instead of relying solely on the formulation of more effective LMIs, which is the widely adopted approach in existing LMI-related studies, this cutting-edge book calls for a systematic modification and reshaping of the polytopic convex hull to achieve enhanced performance. Varying the convexity of the resulting TP canonical form is a key new feature of the approach. The book concentrates on reducing analytical derivations in the design process, echoing the recent paradigm shift on the acceptance of numerical solution as a valid form of output to control system problems. The salient features of the book include: Presents a new HOSVD-based canonical representation for (qLPV) models that enables trade-offs between approximation accuracy and computation complexity Supports a conceptually new control design methodology by proposing TP model transformation that offers a straightforward way of manipulating different types of convexity to appear in polytopic representation Introduces a numerical transformation that has the advantage of readily accommodating models described by non-conventional modeling and identification approaches, such as neural networks and fuzzy rules Presents a number of practical examples to demonstrate the application of the approach to generate control system design for complex (qLPV) systems and multiple control objectives. The authors’ approach is based on an extended version of singular value decomposition applicable to hyperdimensional tensors. Under the approach, trade-offs between approximation accuracy and computation complexity can be performed through the singular values to be retained in the process. The use of LMIs enables the incorporation of multiple performance objectives into the control design problem and assurance of a solution via convex optimization if feasible. Tensor Product Model Transformation in Polytopic Model-Based Control includes examples and incorporates MATLAB® Toolbox TPtool. It provides a reference guide for graduate students, researchers, engineers, and practitioners who are dealing with nonlinear systems control applications.
Ethnomusicology is an academic discipline with a very broad mandate: to understand why and how human beings are musical through the study of music in all its geographical and historical diversity. Ethnomusicological scholarship, however, has been remiss in articulating such goals, methods, and theories. A renowned figure in the field, Timothy Rice is one of the few scholars to regularly address this problem. In this volume, he offers a compilation of essays drawn from across his career that finds implicit and yet largely unrecognized patterns unifying ethnomusicology over its recent history. Modeling Ethnomusicology summarizes thirty years of thinking about the field of ethnomusicology as Rice frames and reframes the content of eight of his most important essays from their original context in relation to the environment of today's ethnomusicology. Rice proposes a variety of models meant to guide students and researchers in their study of ethnomusicology. Some of these models pull together disparate strands of the field, while others propose heuristic models that generate questions for researchers as they plan and conduct their research. A new introduction to these essays reviews the history of his writing about ethnomusicology and proposes an innovative model for theorizing in ethnomusicology by ethnomusicologists. This book will be an enduring, essential text in undergraduate and graduate ethnomusicology classrooms, as well as a must-buy for established scholars in the field.