Lecture 04

01. Inverse of AB and A-transpose

02. A = LU (no row exchanges)

03. Operations of Eliminations

04. Permutation Matrix Family


01. Inverse of AB and A-transpose

AB_inverse.png

inverse_A_transpose.png

02. A = LU (no row exchanges)

a. A Simple Example
a_simple_example.png
b. Sequence of Elimination and A = LU
sequence.png
c. Why A = LU is preferable than elimination?
why_preferable.png

Because of the conduction effect of elimination, the final elimination matrix E includes an undesirable element in bottom left corner, which does not appear in previous elimination. While in A = LU, multipliers go to L directly(with no row exchanges), which is much simpler than elimination form.

03. Operations of Eliminations

operatin of A.png

Similar to A, the elimination of b can be represented by (N + (N-1) + ... + 1). The computation complexity is square of N.

04. Permutation Matrix Family

permutation.png
?著作權(quán)歸作者所有,轉(zhuǎn)載或內(nèi)容合作請(qǐng)聯(lián)系作者
【社區(qū)內(nèi)容提示】社區(qū)部分內(nèi)容疑似由AI輔助生成,瀏覽時(shí)請(qǐng)結(jié)合常識(shí)與多方信息審慎甄別。
平臺(tái)聲明:文章內(nèi)容(如有圖片或視頻亦包括在內(nèi))由作者上傳并發(fā)布,文章內(nèi)容僅代表作者本人觀點(diǎn),簡(jiǎn)書(shū)系信息發(fā)布平臺(tái),僅提供信息存儲(chǔ)服務(wù)。

相關(guān)閱讀更多精彩內(nèi)容

友情鏈接更多精彩內(nèi)容