| 书目名称 | Measure, Integration and a Primer on Probability Theory | | 副标题 | Volume 1 | | 编辑 | Stefano Gentili | | 视频video | | | 概述 | Interesting and enjoyable reading, even to a non expert readers.Each proposition presents clear and complete logical passages.Topics are introduced starting from simple concepts and then gradually go | | 丛书名称 | UNITEXT | | 图书封面 |  | | 描述 | .The text contains detailed and complete proofs and includes instructive historical introductions to key chapters. These serve to illustrate the hurdles faced by the scholars that developed the theory, and allow the novice to approach the subject from a wider angle, thus appreciating the human side of major figures in Mathematics. The style in which topics are addressed, albeit informal, always maintains a rigorous character. The attention placed in the careful layout of the logical steps of proofs, the abundant examples and the supplementary remarks disseminated throughout all contribute to render the reading pleasant and facilitate the learning process. The exposition is particularly suitable for students of Mathematics, Physics, Engineering and Statistics, besides providing the foundation essential for the study of Probability Theory and many branches of Applied Mathematics, including the Analysis of Financial Markets and other areas of Financial Engineering.. | | 出版日期 | Textbook 2020 | | 关键词 | Measure and Integration Theory; Real Analysis; Introduction to Functional Analysis; Fourier Analysis; Pr | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-54940-4 | | isbn_softcover | 978-3-030-54939-8 | | isbn_ebook | 978-3-030-54940-4Series ISSN 2038-5714 Series E-ISSN 2532-3318 | | issn_series | 2038-5714 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:16:34
