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"The National Gallery of Canada: Ideas, Art, and Architecture examines the National Gallery as an institution, a collection, and a series of sites for the display of the nation's art. Douglas Ord explores how, throughout the gallery's development, art has consistently been linked to notions of religious truth, national spirit, and hallowed atmosphere, culminating in Moshe Safdie's design for the institution's current building. Integrating accounts of political intrigue and public controversy with philosophy, art theory, and architectural analysis, Ord provides vivid accounts of successive directors' struggles to obtain a permanent home for the nation's art and sheds light on the place and the role of art in Canada."--Résumé de l'éditeur.
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Identifies and summarizes thousands of books, article, exhibition catalogues, government publications, and theses published in many countries and in several languages from the early nineteenth century to 1981.
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The fourth volume in a history of photography, this is a bibliography of books on the subject.
What is fuzzy logic?--a system of concepts and methods for exploring modes of reasoning that are approximate rather than exact. While the engineering community has appreciated the advances in understanding using fuzzy logic for quite some time, fuzzy logic's impact in non-engineering disciplines is only now being recognized. The authors of Fuzzy Logic in Geology attend to this growing interest in the subject and introduce the use of fuzzy set theory in a style geoscientists can understand. This is followed by individual chapters on topics relevant to earth scientists: sediment modeling, fracture detection, reservoir characterization, clustering in geophysical data analysis, ground water movement, and time series analysis.George Klir is the Distinguished Professor of Systems Science and Director of the Center for Intelligent Systems, Fellow of the IEEE and IFSA, editor of nine volumes, editorial board member of 18 journals, and author or co-author of 16 booksForeword by the inventor of fuzzy logic-- Professor Lotfi Zadeh
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