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Pascal Programming for Libraries

Pascal Programming for Libraries

Charles H. Davis; Gerald Lundeen; Debora Shaw

Praeger Publishers Inc
1988
sidottu
Pascal Programming for Libraries is a practical introduction to computer programming designed specifically for library and information center applications. A graded text, this book provides detailed examples of straightforward programs, each fully illustrated and clearly explained. The examples begin with relatively simple computer code and progress to more complex examples using the highly acclaimed language TURBO Pascal, now widely used on personal computers. The applications illustrated deal with such operations as document retrieval, sorting, keyword indexing, selective dissemination of information, and rudimentary technical processes in libraries.
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Global Sensitivity Analysis

Global Sensitivity Analysis

Andrea Saltelli; Marco Ratto; Terry Andres; Francesca Campolongo; Jessica Cariboni; Debora Gatelli; Michaela Saisana; Stefano Tarantola

John Wiley Sons Inc
2008
sidottu
Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potential financial losses, threats to human health or the state of the environment. Quantitative sensitivity analysis is generally agreed to be one such standard. Mathematical models are good at mapping assumptions into inferences. A modeller makes assumptions about laws pertaining to the system, about its status and a plethora of other, often arcane, system variables and internal model settings. To what extent can we rely on the model-based inference when most of these assumptions are fraught with uncertainties? Global Sensitivity Analysis offers an accessible treatment of such problems via quantitative sensitivity analysis, beginning with the first principles and guiding the reader through the full range of recommended practices with a rich set of solved exercises. The text explains the motivation for sensitivity analysis, reviews the required statistical concepts, and provides a guide to potential applications. The book: Provides a self-contained treatment of the subject, allowing readers to learn and practice global sensitivity analysis without further materials. Presents ways to frame the analysis, interpret its results, and avoid potential pitfalls. Features numerous exercises and solved problems to help illustrate the applications. Is authored by leading sensitivity analysis practitioners, combining a range of disciplinary backgrounds. Postgraduate students and practitioners in a wide range of subjects, including statistics, mathematics, engineering, physics, chemistry, environmental sciences, biology, toxicology, actuarial sciences, and econometrics will find much of use here. This book will prove equally valuable to engineers working on risk analysis and to financial analysts concerned with pricing and hedging.
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