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liblbfgs-1.7
- This library is a C port of the implementation of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method written by Jorge Nocedal. The original FORTRAN source code is available at: This library is a C port of
fminlbfgs_version2
- 这是一个快速的拟牛顿法程序，非常实用，非常强大-FMINLBFGS is a Memory efficient optimizer for problems such as image registration with large amounts of unknowns, and cpu-expensive gradients. Supported: - Quasi Newton Broyden–Fletcher–Go
Shanno
- shannon fano algorithm
liblbfgs-1.10.tar
- L-BFGS的c库文件，可以求最优化规划问题，非常好用，欢迎下载。-libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)
liblbfgs
- 一个有限内存Broyden-Fletcher-Goldfarb-Shanno函数半二次优化工具，可以用来进行求解函数最优值。-libLBFGS is a C port of the implementation of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method, which can be used to solve the optimization
liblbfgs-1.9.tar
- 拟牛顿算法计算函数最小值，采用LBFGS算法，亲测可用。-a C port of the implementation of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method written by Jorge Nocedal.
Broyden-Fletcher-Goldfarb-Shanno
- Broyden Fletcher Goldfarb Shanno method implemented by matlab
TP5-Codage-Fano-Shannon
- theorie de l information-codage fannon-shanno
lbfgs
- L-BFGS算法比较适合在大规模的数值计算中，具备牛顿法收敛速度快的特点，但不需要牛顿法那样存储Hesse矩阵，因此节省了大量的空间以及计算资源。-Limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the family of quasi-Newton methods that approximates the Broyden–Fletcher–
(BFGS 算法程序)
- BFGS 校正是目前最流行也是最有效的拟牛顿校正, 它是由 Broyden, Fletcher, Goldfarb 和 Shanno 在 1970 年各自独立提出的拟牛顿法, 故称为 BFGS 算法.(BFGS correction is the most popular and effective quasi Newton correction at present. It is composed of Broyden, Fle
bfgs
- BFGS算法(BFGS algorithm)，是一种逆秩2拟牛顿法。Hk+，满足拟牛顿方程的逆形式Hk+}少一、k=s.当Hk正定且(，'，少)}0时Hkh，也正定，因此，由BFGS修正确定的算法xk+} - xk - HkF Cxk)是具有正定性、传递性的拟牛顿法，它也是无约束优化中最常用的、最稳定的算法之一这种算法是布罗依丹(Broy-den,C. G.)于1969年，以及弗莱彻(Fletcher , R. ) ,戈德福布(Gold