本課程旨在深入探討矩陣計算理論，幫助學生理解矩陣的基本概念、運算技巧及其在實際問題中的應用。透過本課程的學習，學生將掌握矩陣的各種分解方法，並能夠運用數值方法解決線性方程組與各類矩陣運算問題。此外，課程將介紹矩陣在機器學習、圖像處理、信號處理等領域中的應用，提升學生對現代計算技術的理解和應用能力。This course aims to explore the theory of matrix calculations in depth and help students understand the basic concepts of matrix, calculation skills and their application in actual problems. Through the learning of this course, students will master various decomposition methods of matrix and can use numerical methods to solve linear equations and various matrix calculation problems. In addition, the course will introduce the application of matrix in the fields of machine learning, image processing, signal processing, etc., to improve students' understanding and application capabilities of modern computing technologies.
Gene H. Golub, Charles F. Van Loan, Matrix Computations 4th, 2013
Wen-Wei Lin, Lecture Notes of Matrix Computations, 2012
Gene H. Go Road B, Charles F. van loan, matrix computings 4 days later, 2013
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期末報告期末報告 Final report |
30 | |
| 課堂筆記課堂筆記 Classroom notes |
20 | |
| 作業作業 Action |
50 |
