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
網(wǎng)上的使用vc++圓形按鈕制作源代碼.Vertical and square resource-buttons get circular.\nHorizontal, non-square, resource-buttons get stretched.
標(biāo)簽： resource-buttons Horizontal non-square Vertical
上傳時(shí)間： 2014-01-23
上傳用戶：二驅(qū)蚊器
Chi Square Test for Independence: calculuate the chi square of a vector and the critical value.
標(biāo)簽： Independence calculuate the critical
上傳時(shí)間： 2013-11-29
上傳用戶：xyipie
2D MATLAB EFG CODE - SQUARE DOMAIN
標(biāo)簽： MATLAB DOMAIN SQUARE CODE
上傳時(shí)間： 2015-10-18
上傳用戶：z1191176801
By building a nonlinear function relationship between an d the error signal，this paper presents a no— vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．
標(biāo)簽： relationship nonlinear building function
上傳時(shí)間： 2015-10-22
上傳用戶：hzy5825468
有監(jiān)督自組織映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用語多變量數(shù)據(jù)的回歸分析
標(biāo)簽： self-organising supervised algorithm partial
上傳時(shí)間： 2015-10-22
上傳用戶：hfmm633
Partial Least Squares regression bilinear factor model 的輸出源碼
標(biāo)簽： regression bilinear Partial Squares
上傳時(shí)間： 2013-12-03
上傳用戶：familiarsmile
LRU(最近最少使用算法) and MRU(最近最常使用算法)所謂的LRU(Least recently used)算法的基本概念是:當(dāng)內(nèi)存的剩余的可用空間不夠時(shí),緩沖區(qū)盡可能的先保留使用者最常使用的數(shù)據(jù),換句話說就是優(yōu)先清除”較不常使用的數(shù)據(jù)”,并釋放其空間
標(biāo)簽： LRU recently Least used
上傳時(shí)間： 2014-01-03
上傳用戶：彭玖華
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