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Le test de l'arbre : relations humaines et problèmes actuels
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ISBN: 2294002490 9782294002496 Year: 2000 Publisher: Paris: Masson,

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Le test de l'arbre
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ISBN: 2130352995 9782130352990 Year: 1978 Publisher: Paris : PUF,

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Vivons perchés : 50 créations originales de la Cabane perchée
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ISBN: 9782732446929 Year: 2011 Publisher: Paris : Éditions de La Martinière,

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Mycologie et pathologie forestière
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ISBN: 2225417458 2225468710 9782225417450 9782225468711 Year: 1976 Publisher: Paris: Masson,


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Le test de l'arbre : relations humaines et problèmes actuels
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ISBN: 2225846111 9782225846113 Year: 1995 Publisher: Paris: Masson,


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L'architecture des arbres
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ISBN: 9782869251526 2869251521 Year: 2019 Publisher: impr. en Italie: Paris: Fondation Cartier pour l'art contemporain,

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Cet ouvrage, publié une première fois en 1982, est l'aboutissement d'une étude systématique et esthétique réalisée pendant plus de 20 ans par les architectes italiens Cesare Leonardi et Franca Stagi. Il rassemble plus de 550 dessins de 212 espèces d’arbres dessinés à l’échelle 1/100 avec et sans feuillage, ainsi que des diagrammes de projections d’ombres, et des planches de variations chromatiques saisonnières. Il contient également 393 notices sur chaque famille, genre et espèce d’arbre illustrées par des dessins de feuilles, de fleurs et de fruits. Ce livre constitue un recueil botanique hors du commun qui révèle toute la beauté et la poésie des arbres dans leur infinie variété.

Algorithms in C
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ISBN: 9780201314526 0201314525 9780201316636 0201316633 Year: 1998 Publisher: Reading, Mass. : Addison-Wesley,

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Software developers and computer scientists have eagerly awaited this comprehensive revision of Robert Sedgewick's landmark texts on algorithms for C++. Sedgewick has completely revamped all five sections, illuminating today's best algorithms for an exceptionally wide range of tasks. This shrink-wrapped package brings together Algorithms in C++, Third Edition, Parts 1-4 and his new Algorithms in C++, Third Edition, Part 5, at a special discounted price. Together, these books are the most definitive, up-to-date, and practical algorithms resource available. The first book introduces fundamental concepts associated with algorithms, then covers data structures, sorting, and searching. The second book focuses entirely on graphing algorithms, which are critical for a wide range of applications, including network connectivity, circuit design, scheduling, transaction processing, and resource allocation. Sedgewick focuses on practical applications, giving readers all the information, diagrams, and real (not pseudo-) code they need to confidently implement, debug, and use the algorithms he presents. Together these books present nearly 2,000 new exercises, hundreds of new figures, and dozens of new programs.

Causality : models, reasoning, and inference
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ISBN: 9780521895606 9780511803161 9780521749190 0521773628 9780521773621 052189560X Year: 2000 Publisher: Cambridge: Cambridge university press,

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Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents and unifies the probabilistic, manipulative, counterfactual, and structural approaches to causation and devises simple mathematical tools for studying the relationships between causal connections and statistical associations. The book will open the way for including causal analysis in the standard curricula of statistics, artificial intelligence, business, epidemiology, social sciences, and economics. Students in these fields will find natural models, simple inferential procedures, and precise mathematical definitions of causal concepts that traditional texts have evaded or made unduly complicated. The first edition of Causality has led to a paradigmatic change in the way that causality is treated in statistics, philosophy, computer science, social science, and economics. Cited in more than 3,000 scientific publications, it continues to liberate scientists from the traditional molds of statistical thinking. In this revised edition, Judea Pearl elucidates thorny issues, answers readers' questions, and offers a panoramic view of recent advances in this field of research. Causality will be of interests to students and professionals in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable.

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