Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares (Hardcover) (應用線性代數導論:向量、矩陣與最小二乘法)
Stephen Boyd, Lieven Vandenberghe
- 出版商: Cambridge
- 出版日期: 2018-06-07
- 售價: $1,580
- 貴賓價: 9.8 折 $1,548
- 語言: 英文
- 頁數: 474
- 裝訂: Hardcover
- ISBN: 1316518965
- ISBN-13: 9781316518960
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相關分類:
線性代數 Linear-algebra
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相關翻譯:
應用線性代數 (簡中版)
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相關主題
商品描述
This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB, and data sets accompanying the book online. It is suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.
商品描述(中文翻譯)
這本開創性的教科書結合了清晰易懂的解釋和豐富的實例,提供了一種創新的線性代數教學方法。不需要先備知識,它涵蓋了工程應用所需的線性代數方面 - 向量、矩陣和最小二乘法,並討論了數據科學、機器學習和人工智能、信號和圖像處理、斷層掃描、導航、控制和金融等領域的實例。書中的大量實際練習使學生能夠測試他們的理解並將知識應用於解決現實世界的問題,並提供了線上的講義幻燈片、額外的Julia和MATLAB計算練習以及數據集。適用於一學期或一季的課程,以及自學,這本自成一體的教材為初學者提供了他們進一步學習所需的基礎。