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The Green Hills of Africa [Bulgarian]
Par Ernest Hemingway. 2012
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Voyage (récits), Voyages et géographie
His second major venture into nonfiction after Death in the Afternoon 1932 Green Hills of Africa…
is Ernest Hemingway s lyrical journal of a month on safari in the great game country of East Africa where he and his wife Pauline journeyed in December of 1933 Hemingway s well-known interest in--and fascination with--big-game hunting is magnificently captured in this evocative account of his trip In examining the poetic grace of the chase and the ferocity of the kill Hemingway also looks inward seeking to explain the lure of the hunt and the primal undercurrent that comes alive on the plains of Africa Yet Green Hills of Africa is also an impassioned portrait of the glory of the African landscape and of the beauty of a wilderness that was even then being threatened by the incursions of man Hemingway s rich description of the beauty and strangeness of the land and his passion for the sport of hunting combine to give Green Hills of Africa the freshness and immediacy of a deeply felt personal experience that is the hallmark of the greatest travel writing This edition is in BulgarianBayesian and High-Dimensional Global Optimization (SpringerBriefs in Optimization)
Par Anatoly Zhigljavsky, Antanas Žilinskas. 2021
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Essais et documents généraux, Sciences et technologies
Audio avec voix de synthèse
Accessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization,…
computer science, operations research, management science, engineering and other applied areas interested in solving optimization problems. Basic principles, potential and boundaries of applicability of stochastic global optimization techniques are examined in this book. A variety of issues that face specialists in global optimization are explored, such as multidimensional spaces which are frequently ignored by researchers. The importance of precise interpretation of the mathematical results in assessments of optimization methods is demonstrated through examples of convergence in probability of random search. Methodological issues concerning construction and applicability of stochastic global optimization methods are discussed, including the one-step optimal average improvement method based on a statistical model of the objective function. A significant portion of this book is devoted to an analysis of high-dimensional global optimization problems and the so-called ‘curse of dimensionality’. An examination of the three different classes of high-dimensional optimization problems, the geometry of high-dimensional balls and cubes, very slow convergence of global random search algorithms in large-dimensional problems , and poor uniformity of the uniformly distributed sequences of points are included in this book.