Introduction to Linear Algebra: Computation, Application, and Theory
暫譯: 線性代數導論：計算、應用與理論
Debonis, Mark J.
- 出版商: CRC
- 出版日期: 2022-03-15
- 售價: $4,110
- 貴賓價: 9.5 折 $3,905
- 語言: 英文
- 頁數: 440
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032108983
- ISBN-13: 9781032108988
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相關分類:
線性代數 Linear-algebra
海外代購書籍(需單獨結帳)
商品描述
Introduction to Linear Algebra: Computation, Application and Theory is designed for students who have never been exposed to the topics in a linear algebra course. The text is filled with interesting and diverse application sections but is also a theoretical text which aims to train students to do succinct computation in a knowledgeable way. After completing the course with this text, the student will not only know the best and shortest way to do linear algebraic computations but will also know why such computations are both effective and successful.
Features
- Includes cutting edge applications in machine learning and data analytics.
- Suitable as a primary text for undergraduates studying linear algebra.
- Requires very little in the way of pre-requisites.
商品描述(中文翻譯)
《線性代數導論：計算、應用與理論》是為從未接觸過線性代數課程主題的學生設計的。這本書充滿了有趣且多樣的應用部分，同時也是一本理論性質的教材，旨在訓練學生以知識淵博的方式進行簡潔的計算。完成這本書的課程後，學生不僅會知道進行線性代數計算的最佳和最短方法，還會了解這些計算為何既有效又成功。
特色
- 包含機器學習和數據分析的前沿應用。
- 適合作為學習線性代數的本科生主要教材。
- 對先修知識的要求非常少。
作者簡介
Mark DeBonis received his PhD in Mathematics from University of California, Irvine, USA. He began his career as a theoretical mathematician in the field of group theory and model theory, but in later years switched to applied mathematics, in particular to machine learning. He spent some time working for the US Department of Energy at Los Alamos National Lab as well as the US Department of Defense at the Defense Intelligence Agency as an applied mathematician of machine learning. He is an Associate Professor of Mathematics at Manhattan College in New York City and is also currently working for the US Department of Energy at Sandia National Lab as a Principal Data Analyst. His research interests include machine learning, statistics, and computational algebra.
作者簡介(中文翻譯)
Mark DeBonis 於美國加州大學爾灣分校獲得數學博士學位。他的職業生涯始於群論和模型理論的理論數學家，但在後來的幾年中轉向應用數學，特別是機器學習。他曾在美國能源部的洛斯阿拉莫斯國家實驗室以及美國國防部的國防情報局擔任機器學習的應用數學家。他目前是紐約市曼哈頓學院的數學副教授，並且目前在美國能源部的桑迪亞國家實驗室擔任首席數據分析師。他的研究興趣包括機器學習、統計學和計算代數。
