線性代數 (Linear Algebra)
Rating 4.86 out of 5 (88 ratings in Udemy)
What you'll learn
- 了解基本的矩陣原理，包含矩陣的運算與拆解
- 了解向量空間之間的線性轉換，包括轉換規則與數學應用
- 特徵向量以及特徵值的尋找(Eigenvectors and Eigenvalues)
- 了解並證明行列式(Determinant)的公式與計算規則
- 了解並證明可逆矩陣(Invertible Matrix)的性質與判斷方法
- 使用簡約列梯形式矩陣(Reduced Row Echelon Form)來找線性方程式的解
- 了解線性方程組當中的Free Variable and Basic Variable
- 向量的內積、外積、平行六面體、三階行列式的證明與計算
- 學習與分析矩陣乘法的施特拉森演算法(Strassen's Algorithm)
- 秩零化度定理(Rank Theorem)
- 馬可夫鍊(Markov's Chain)與線性代數的應用
- 使用Power Method and Shifted Inverse Power Method …
Duration 34 Hours 58 Minutes
Paid
Self paced
All Levels
Traditional Chinese (Taiwan)
1185
Rating 4.86 out of 5 (88 ratings in Udemy)
Go to the Course
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Paid
Self paced
All Levels
Traditional Chinese (Taiwan)
1185
Rating 4.86 out of 5 (88 ratings in Udemy)
Go to the Course