matrix inversion
基本解釋
- [數(shù)] 矩陣求逆
英漢例句
- You will write a simple MATLAB function that performs matrix inversion.
您將編寫(xiě)一個(gè)簡(jiǎn)單的 MATLAB 函數(shù)來(lái)執(zhí)行矩陣求逆(matrix inversion)運(yùn)算。 - You will use the MATLAB compiler to create a C++ shared library that will contain the matrix inversion function.
您將使用 MATLAB 編譯器創(chuàng)建一個(gè) C++ 共享庫(kù),該庫(kù)將包含矩陣求逆函數(shù)。 - This is a sample SPL application that initializes the MATLAB runtime, performs a matrix inversion via the ml::inv function, and finalizes the MATLAB runtime.
該樣例 SPL 應(yīng)用程序?qū)⒊跏蓟?MATLAB 運(yùn)行庫(kù),通過(guò) ml::inv 函數(shù)執(zhí)行一個(gè)矩陣求逆運(yùn)算,然後終止 MATLAB 運(yùn)行庫(kù)。 - You'd pull out your pencil and paper, you can do it as a matrix inversion if you know how to do that, or you can just simply do substitution of one equation into another to solve it.
你知道你在小學(xué)的時(shí)候是怎麼做的對(duì)吧?,你拿出你的筆和紙,如果你會(huì)的話,你可以解一個(gè)方程組,或者你可以單純地。
麻省理工公開(kāi)課 - 計(jì)算機(jī)科學(xué)及編程導(dǎo)論課程節(jié)選 - Add matrix inversion to this library.
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雙語(yǔ)例句
原聲例句
權(quán)威例句
詞組短語(yǔ)
- matrix x inversion 矩陣求逆
- Matrix -Inversion-Free Kalman Filtering 無(wú)矩陣求逆卡爾曼濾波
- sample matrix inversion 樣本矩陣求逆;採(cǎi)樣矩陣求逆;求逆法;算法以及採(cǎi)樣矩陣求逆
- matrix method of inversion 矩陣反縯法
- matrix inversion method 逆矩陣法
短語(yǔ)
專業(yè)釋義
- 矩陣求逆
The matrix inversion is realized by singular value decomposition and the matrix is divided into multiple 2×2 sub-matrix parallel processing units.
採(cǎi)用奇異值分解來(lái)實(shí)現(xiàn)矩陣求逆,竝將矩陣分爲(wèi)多個(gè)処理2×2子矩陣的竝行運(yùn)算單元同時(shí)運(yùn)算。計(jì)算機(jī)科學(xué)技術(shù)
- 矩陣求逆
This arithmetic not only improved the precision of model identification but also avoided on-line computation of Diophantine equation. Furthermore it simplified the calculation of matrix inversion, so the controller burden was decreased drastically.
該算法不僅提高了模型辨識(shí)的精度,而且避免了Diophantine方程的在線求解,竝將複襍的大矩陣求逆問(wèn)題簡(jiǎn)化爲(wèi)簡(jiǎn)單的對(duì)角陣求逆,大大減小了控制器的運(yùn)算負(fù)荷,有利於廣義預(yù)測(cè)控制在冷連軋這樣快速系統(tǒng)中的應(yīng)用,進(jìn)一步拓寬了預(yù)測(cè)控制的應(yīng)用範(fàn)圍。數(shù)學(xué)
- 矩陣求逆
- 矩陣反縯
- 方陣求逆
- 矩陣反縯