最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數(shù)據(jù)點(diǎn)的近似函數(shù) (approximating function)，作實(shí)驗(yàn)所得的數(shù)據(jù)亦常使用最小平方近似法來達(dá)成曲線密合 (curve fitting)。以下所介紹的最小平方近似法是使用多項(xiàng)式作為近似函數(shù)，除了多項(xiàng)式之外，指數(shù)、對數(shù)方程式亦可作為近似函數(shù)。關(guān)於最小平方近似法的計(jì)算原理，請參閱市面上的數(shù)值分析書籍
標(biāo)簽： least-squares approximation approximating discrete
上傳時(shí)間： 2015-06-21
上傳用戶：SimonQQ
The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Development. This authoritative, practical guide will help you better understand the Linux kernel through updated coverage of all the major subsystems, new features associated with Linux 2.6 kernel and insider information on not-yet-released developments. You ll be able to take an in-depth look at Linux kernel from both a theoretical and an applied perspective as you cover a wide range of topics, including algorithms, system call interface, paging strategies and kernel synchronization. Get the top information right from the source in Linux Kernel Development.
標(biāo)簽： interesting open-source understood projects
上傳時(shí)間： 2015-06-30
上傳用戶：zyt
控制行業(yè)中重要的least square parameter solution，里面使用了一個(gè)例子，可以將輸入改變?nèi)缓笫褂?/p>
標(biāo)簽： parameter solution square least
上傳時(shí)間： 2014-02-13
上傳用戶：tb_6877751
通過奇異值分解實(shí)現(xiàn)的最小二乘擬合算法 inear least-squares fit by singular value decomposition
標(biāo)簽： decomposition least-squares singular inear
上傳時(shí)間： 2015-07-26
上傳用戶：bibirnovis
The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Development. This authoritative, practical guide will help you better understand the Linux kernel through updated coverage of all the major subsystems, new features associated with Linux 2.6 kernel and insider information on not-yet-released developments. You ll be able to take an in-depth look at Linux kernel from both a theoretical and an applied perspective as you cover a wide range of topics, including algorithms, system call interface, paging strategies and kernel synchronization. Get the top information right from the source in Linux Kernel Development.
標(biāo)簽： interesting open-source understood projects
上傳時(shí)間： 2015-07-26
上傳用戶：mpquest
RMSD: Root Mean Square Deviation 是一種在分子模擬及預(yù)測中很常見的評(píng)價(jià)標(biāo)準(zhǔn)，通過Jacobi變換來的到一個(gè)大分子和目標(biāo)分子的相似程度。常用來評(píng)價(jià)一個(gè)三維結(jié)構(gòu)的預(yù)測結(jié)果是否足夠準(zhǔn)確.作者主頁http://dillgroup.ucsf.edu/~bosco/ 壓縮包里的html里還包括有Python代碼
標(biāo)簽： Deviation Square RMSD Mean
上傳時(shí)間： 2015-08-12
上傳用戶：wyc199288
mean-shift算法的實(shí)現(xiàn)算例，通過看這段代碼，可以很快熟悉mean-shift算法
標(biāo)簽： mean-shift 算法
上傳時(shí)間： 2013-11-29
上傳用戶：jhksyghr
粒子濾波算法講述粒子濾波過程。基于Mean Shift算法和粒子濾波器的人眼跟蹤,多謝支持。
上傳時(shí)間： 2015-08-23
上傳用戶：330402686
Least Square - ARMA 算法的MATLAB代碼, 是頻譜分析(通常是在高級(jí)DSP這門課中會(huì)用到的)的常用算法
標(biāo)簽： Square MATLAB Least ARMA
上傳時(shí)間： 2013-12-21
上傳用戶：zhangjinzj
學(xué)習(xí)mean-shift均值偏移算法的好文章，可以參考參考的
標(biāo)簽： mean-shift 偏移 算法
上傳時(shí)間： 2015-09-27
上傳用戶：皇族傳媒
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