課程描述
矩陣理論及線性代數的入門課程。本課程內容著重於聯立方程組、向量空間、行列式、特徵值、相似性及正定矩陣等具高度可應用性專題的基本訓練及其在最小平方逼進法、微分方程組的穩定性、網路、傅立葉轉換及馬可夫歷程的應用。本課程以Matlab作為輔助工具。較之課程18.700[亦為線性代數],本堂課更注重於矩陣演算法及其若幹應用。
MATLAB®為Mathwoks,Inc的商標。
Basic subject on matrix theory and linear algebra, emphasizing topics useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. Applications to least-squares approximations, stability of differential equations, networks, Fourier transforms, and Markov processes. Uses MATLAB®. Compared with 18.700 [also Linear Algebra], more emphasis on matrix algorithms and many applications.
MATLAB® is a trademark of The MathWorks, Inc.
