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ML estimation of frequency synchronization
Update : 2025-02-19 Size : 110kb Publisher : Kamran

该代码演示了如何用最小二乘法识别方程参数-The code make use of least square method to identify equation parameters
Update : 2025-02-19 Size : 2kb Publisher : 史峰

PURPOSE: [LLF, grad, hessian, h, scores, robustse] = garchlikelihood(parameters , data , p , q) -PURPOSE: [LLF, grad, hessian, h, scores, robustse] = garchlikelihood(parameters , data , p , q)
Update : 2025-02-19 Size : 1kb Publisher : fatemeh

DL : 0
用MFC写的模拟操作系统最低松弛度优先算法(LLF)的程序 操作系统课程设计-Analog operating system written with MFC minimum laxity first algorithm (LLF) program courses on operating system design
Update : 2025-02-19 Size : 3.63mb Publisher : 赵文涛

对周立功CAN卡的代码进行了修改,实现了很多功能-Modify the code of the the ZLG CAN card to achieve a lot of functionality
Update : 2025-02-19 Size : 1.15mb Publisher : 李龙飞

LLF教师管理源码 源码描述: 基本档案:教育背景 工作简历 学科建设:学科建设 教学研究:在研课题 发表论文 发表论著 获奖情况 科学研究 :在研课题 发表论文 论著情况 获奖情况 师资队伍:教师列表 默认管理员登录密码均为51aspx-LLF teacher management source Source description: Basic Profile: Educational Background Work Experience Disciplines: Discipline Construction Teaching and Research: Research topics published papers published treatises Awards Scientific Research: Research topics published treatises circumstances Awards Faculty: Faculty List The default administrator login password are 51aspx
Update : 2025-02-19 Size : 947kb Publisher : kfs

DL : 0
LOCAL LAX FRIEDRICH SCHEME-LLF
Update : 2025-02-19 Size : 2kb Publisher : 刘淑梅

PARAFAC源程序,可以用于平行因子分析处理的算法,很全很好用(unction [A,B,C,LLF,I,J,K] = parafac(XPK,I,N,epsilon) % PARAFAC Parallel factor analysis for an three-way data array % The iterative process is continued until that m > 300 or ABS((LF(m)-LF(m-1)) % /LF(m-1)) is less than epsilon.Noted that m is the iterative number. % The epsilon may also be 10*MAX(SIZE(XPK))*NORM(XPK,1)*EPS. % % This can be overridden with [A,B,C] = PARAFAC(XPK,I,N,epsilon). % % [A,B,C,LLF] = PARAFAC(XPK,I,N,epsilon) also returns a vector LLF(=LOG(LF)) % where LF is a loss function vector obtained by calculating the square of % Frobenius matrix norm of (XPK-XPK*) at each iteration step.)
Update : 2025-02-19 Size : 125kb Publisher : 东东1234
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