data matrices
數據矩陣
identity matrices
單位矩陣
sparse matrices
稀疏矩陣
random matrices
隨機矩陣
orthogonal matrices
正交矩陣
square matrices
方陣
symmetric matrices
對稱矩陣
diagonal matrices
對角矩陣
block matrices
塊矩陣
positive matrices
正矩陣
mathematics often involves working with matrices.
數學通常涉及處理矩陣。
we can represent data using multiple matrices.
我們可以使用多個矩陣表示數據。
in computer graphics, matrices are used for transformations.
在計算機圖形學中，矩陣用於變換。
solving systems of equations often requires manipulating matrices.
求解方程組通常需要操作矩陣。
we learned how to add and subtract matrices in class.
我們在課堂上學習瞭如何加減矩陣。
eigenvalues and eigenvectors are important concepts in matrix theory.
特徵值和特徵向量是矩陣理論中的重要概念。
in machine learning, we often use matrices to represent features.
在機器學習中，我們通常使用矩陣表示特徵。
matrix multiplication is not commutative.
矩陣乘法不是交換的。
we can find the inverse of a matrix if it is non-singular.
如果矩陣是非奇異的，我們可以找到它的逆。
applications of matrices include computer graphics and physics simulations.
矩陣的應用包括計算機圖形學和物理模擬。
data matrices
數據矩陣
identity matrices
單位矩陣
sparse matrices
稀疏矩陣
random matrices
隨機矩陣
orthogonal matrices
正交矩陣
square matrices
方陣
symmetric matrices
對稱矩陣
diagonal matrices
對角矩陣
block matrices
塊矩陣
positive matrices
正矩陣
mathematics often involves working with matrices.
數學通常涉及處理矩陣。
we can represent data using multiple matrices.
我們可以使用多個矩陣表示數據。
in computer graphics, matrices are used for transformations.
在計算機圖形學中，矩陣用於變換。
solving systems of equations often requires manipulating matrices.
求解方程組通常需要操作矩陣。
we learned how to add and subtract matrices in class.
我們在課堂上學習瞭如何加減矩陣。
eigenvalues and eigenvectors are important concepts in matrix theory.
特徵值和特徵向量是矩陣理論中的重要概念。
in machine learning, we often use matrices to represent features.
在機器學習中，我們通常使用矩陣表示特徵。
matrix multiplication is not commutative.
矩陣乘法不是交換的。
we can find the inverse of a matrix if it is non-singular.
如果矩陣是非奇異的，我們可以找到它的逆。
applications of matrices include computer graphics and physics simulations.
矩陣的應用包括計算機圖形學和物理模擬。
探索常見搜尋詞彙