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[matlabLLF

Description: ML estimation of frequency synchronization
Platform: | Size: 112640 | Author: Kamran | Hits:

[matlabLLF-to-identify-parameters

Description: 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
Platform: | Size: 2048 | Author: 史峰 | Hits:

[matlabgarchlikelihood

Description: PURPOSE: [LLF, grad, hessian, h, scores, robustse] = garchlikelihood(parameters , data , p , q) -PURPOSE: [LLF, grad, hessian, h, scores, robustse] = garchlikelihood(parameters , data , p , q)
Platform: | Size: 1024 | Author: fatemeh | Hits:

[Otherllf1.0

Description: 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
Platform: | Size: 3808256 | Author: 赵文涛 | Hits:

[LabViewZLG_labview(LLF)

Description: 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
Platform: | Size: 1202176 | Author: 李龙飞 | Hits:

[Education soft systemLLFTeacher_111

Description: 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
Platform: | Size: 969728 | Author: kfs | Hits:

[Algorithm77777

Description: LOCAL LAX FRIEDRICH SCHEME-LLF
Platform: | Size: 2048 | Author: 刘淑梅 | Hits:

[matlabParafac codes

Description: 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.)
Platform: | Size: 128000 | Author: 东东1234 | Hits:

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