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The digital revolution of the last decades of the 20th century had a vast impact on scientific, and other libraries worldwide. Modern technology has made the access to information so much easier and faster, and the Internet sometimes gives its users the false impression that all information can be obtained without any human intervention. If this were true, libraries would be reduced from intellectual laboratories to museums, where visitors only come to look at those strange paper format precursors of the digital information carriers. Even if such an extreme futuristic view cannot be completely excluded, it is still very far away. In the meantime, libraries and librarians continue to play an important role, especially in the digital environment where the traditional skills of librarians have found a new importance and new applications. Their devotion to the preservation of historically significant documents may counterbalance the tendency of the Internet to become a dull collection of knowledge facts and to forget the logical processes through which this knowledge was obtained. The long-established experience of librarians as organizers of information and as facilitators of the access to this organised knowledge collection has already proven to be of immeasurable value for the use of all kinds of digital information sources.
Key Concepts in Management is one of a range of comprehensive glossaries with entries arranged alphabetically for easy reference. All major concepts, terms, theories and theorists are incorporated and cross-referenced. Additional reading and Internet research opportunities are identified. More complex terminology is made clearer with numerous diagrams and illustrations. With over 500 key terms defined, the book represents a comprehensive must-have reference for anyone studying a business-related course or those simply wishing to understand what management is all about. It will be especially useful as a revision aid.
George Myers was one of the great Master Builders of the Victorian Age. Born in 'Hull in 1803, he gained renown as 'Pugin's Builder' and - from his workshops in Hull and then in London - directed a nationwide contracting business. Myers executed many of Pugin's buildings, such as cathedrals in Newcastle, Birmingham, Nottingham and Southwark and the Medieval Court for the Great Exhibition of 1851. In fact Myers undertook work for nearly 100 other architects. This included the original camp at Aldershot, military hospitals and the Staff College, Broadmoor Hospital and restoration work at the Guildhall, the Towers of London, Windsor Castle and extensive work for the Rothschilds. He died in London in 1875. This book, based on original research, provides a fascinating account of mid-19th century England and some of its most interesting figures. It contains hitherto unpublished drawings by Pugin.
This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Clearly divided into eleven distinct chapters, the book begins with a fast-start introduction to image processing to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with the final chapter looking at the application of automated image classification (with Matlab examples) . Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples. Features a companion website www.wiley.com/go/solomon/fundamentals containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.
Optimal design, optimal control, and parameter estimation of systems governed by partial differential equations (PDEs) give rise to a class of problems known as PDE-constrained optimization. The size and complexity of the discretized PDEs often pose significant challenges for contemporary optimization methods. With the maturing of technology for PDE simulation, interest has now increased in PDE-based optimization. The chapters in this volume collectively assess the state of the art in PDE-constrained optimization, identify challenges to optimization presented by modern highly parallel PDE simulation codes, and discuss promising algorithmic and software approaches for addressing them. These contributions represent current research of two strong scientific computing communities, in optimization and PDE simulation. This volume merges perspectives in these two different areas and identifies interesting open questions for further research.
Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It provides a framework for, and insight into, the inverse problem nature of data assimilation, emphasizing why and not just how. Methods and diagnostics are emphasized, enabling readers to readily apply them to their own field of study. Readers will find a comprehensive guide that is accessible to nonexperts; numerous examples and diverse applications from a broad range of domains, including geophysics and geophysical flows, environmental acoustics, medical imaging, mechanical and biomedical engineering, economics and finance, and traffic control and urban planning; and the latest methods for advanced data assimilation, combining variational and statistical approaches.
Most problems in science involve many scales in time and space. An example is turbulent ?ow where the important large scale quantities of lift and drag of a wing depend on the behavior of the small vortices in the boundarylayer. Another example is chemical reactions with concentrations of the species varying over seconds and hours while the time scale of the oscillations of the chemical bonds is of the order of femtoseconds. A third example from structural mechanics is the stress and strain in a solid beam which is well described by macroscopic equations but at the tip of a crack modeling details on a microscale are needed. A common dif?culty with the simulation of these problems and many others in physics, chemistry and biology is that an attempt to represent all scales will lead to an enormous computational problem with unacceptably long computation times and large memory requirements. On the other hand, if the discretization at a coarse level ignoresthe?nescale informationthenthesolutionwillnotbephysicallymeaningful. The in?uence of the ?ne scales must be incorporated into the model. This volume is the result of a Summer School on Multiscale Modeling and S- ulation in Science held at Boso ¤n, Lidingo ¤ outside Stockholm, Sweden, in June 2007. Sixty PhD students from applied mathematics, the sciences and engineering parti- pated in the summer school.
This book treats Modelling of CFD problems, Numerical tools for PDE, and Scientific Computing and Systems of ODE for Epidemiology, topics that are closely related to the scientific activities and interests of Prof. William Fitzgibbon, Prof. Yuri Kuznetsov, and Prof. O. Pironneau, whose outstanding achievements are recognised in this volume. It contains 20 contributions from leading scientists in applied mathematics dealing with partial differential equations and their applications to engineering, ab-initio chemistry and life sciences. It includes the mathematical and numerical contributions to PDE for applications presented at the ECCOMAS thematic conference "Contributions to PDE for Applications" held at Laboratoire Jacques Louis Lions in Paris, France, August 31- September 1, 2015, and at the Department of Mathematics, University of Houston, Texas, USA, February 26-27, 2016. This event brought together specialists from universities and research institutions who are developing or applying numerical PDE or ODE methods with an emphasis on industrial and societal applications. This volume is of interest to researchers and practitioners as well as advanced students or engineers in applied and computational mathematics. All contributions are written at an advanced scientific level with no effort made by the editors to make this volume self-contained. It is assumed that the reader is a specialist already who knows the basis of this field of research and has the capability of understanding and appreciating the latest developments in this field.