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This book analyzes the history and development of settlements—from the earliest periods in human history to the present day—from a Darwinian evolutionary perspective. At the foundation of the evolutionary model is the argument that the human capacity for complex communication and unique problem-solving ability have led to the formation and reality of the modern city and its scaled-up megacity status. While evolutionary theory forms the platform for the book’s argument, general systems theory provides the operational framework for the organization and interpretations of each chapter. Throughout the book, the authors tackle various issues, questions, and possibilities regarding the future development and evolution of human settlements.

This book presents emerging perspectives on disaster resilience and human settlements in the larger context of the Anthropocene. The chapters explore urban and rural perspectives focusing on the current and emerging perspectives on disaster resilience through a holistic approach, involving scientists, humanists, planners, policymakers, and professionals in the global debate.

This book introduces advanced mathematical methods and techniques for analysis and simulation of models in mathematical epidemiology. Chronological age and class-age play an important role in the description of infectious diseases and this text provides the tools for the analysis of this type of partial differential equation models. This book presents general theoretical tools as well as large number of specific examples to guide the reader to develop their own tools that they may then apply to study structured models in mathematical epidemiology. The book will be a valuable addition to the arsenal of all researchers interested in developing theory or studying specific models with age structure.

Structured matrices serve as a natural bridge between the areas of algebraic computations with polynomials and numerical matrix computations, allowing cross-fertilization of both fields. This book covers most fundamental numerical and algebraic computations with Toeplitz, Hankel, Vandermonde, Cauchy, and other popular structured matrices. Throughout the computations, the matrices are represented by their compressed images, called displacements, enabling both a unified treatment of various matrix structures and dramatic saving of computer time and memory. The resulting superfast algorithms allow further dramatic parallel acceleration using FFT and fast sine and cosine transforms. Included are specific applications to other fields, in particular, superfast solutions to: various fundamental problems of computer algebra; the tangential Nevanlinna--Pick and matrix Nehari problems The primary intended readership for this work includes researchers, algorithm designers, and advanced graduate students in the fields of computations with structured matrices, computer algebra, and numerical rational interpolation. The book goes beyond research frontiers and, apart from very recent research articles, includes yet unpublished results. To serve a wider audience, the presentation unfolds systematically and is written in a user-friendly engaging style. Only some preliminary knowledge of the fundamentals of linear algebra is required. This makes the material accessible to graduate students and new researchers who wish to study the rapidly exploding area of computations with structured matrices and polynomials. Examples, tables, figures, exercises, extensive bibliography, and index lend this text to classroom use or self-study.

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