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[matlab] LLF DL : 0: ML estimation of frequency synchronization
Update : 2025-02-19 Size : 110kb Publisher : Kamran
[matlab] LLF-to-identify-parameters DL : 0: 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
[matlab] garchlikelihood DL : 0: 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
[Other] llf1.0 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
[LabView] ZLG_labview(LLF) DL : 0: 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
[Education soft system] LLFTeacher_111 DL : 0: 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
[Algorithm] 77777 DL : 0: LOCAL LAX FRIEDRICH SCHEME-LLF
Update : 2025-02-19 Size : 2kb Publisher : 刘淑梅
[matlab] Parafac codes DL : 0: 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