Автор: Banner, Adrian Название: Calculus lifesaver ISBN: 0691130884 ISBN-13(EAN): 9780691130880 Издательство: Wiley Рейтинг: Цена: 4435.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For many students, calculus can be the most mystifying and frustrating course they will ever take. This study guide works as a supplement to any single-variable calculus course or textbook. It includes more than 475 examples (ranging from easy to hard) that provide step-by-step reasoning.
Автор: Kojima, H Название: The Manga guide to calculus ISBN: 1593271948 ISBN-13(EAN): 9781593271947 Издательство: Random House (USA) Рейтинг: Цена: 2298.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Teaching calculus in an original and refreshing way, this guide combines Japanese-style manga cartoons with mathematical content as it follows the story of heroine Noriko. Noriko takes a job with a local newspaper and quickly befriends math whiz Kakeru, who wants to help her understand the practical uses of calculus in journalism.
Автор: Applebaum, David Название: Levy processes and stochastic calculus ISBN: 0521738652 ISBN-13(EAN): 9780521738651 Издательство: Cambridge Academ Рейтинг: Цена: 13306.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A unique development of these two subjects contained in a single volume. New topics featured in this fully revised edition include regular variation and subexponential distributions, characterisation of Levy processes with finite variation, multiple Wiener-Levy integrals and chaos decomposition, and introductions to Malliavin calculus and stability theory for Levy-driven SDEs.
Автор: Nourdin Название: Normal Approximations with Malliavin Calculus ISBN: 1107017777 ISBN-13(EAN): 9781107017771 Издательство: Cambridge Academ Рейтинг: Цена: 11880.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book studies normal approximations by means of two powerful probabilistic techniques: the Malliavin calculus and Stein`s method. Largely self-contained it is perfect for self-study and will appeal both to researchers and to graduate students in probability and statistics.
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