he algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The

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–Goldfarb–Shanno (BFGS). -

L-BFGS用于内存紧张的系统中，可以用于求解大规模数据集的优化-Software for Large-scale Unconstrained Optimization L-BFGS is a limited-memory quasi-Newton code for large-scale unconstrained optimization.

BFGS算法C程序本程序适用于2设计变量的函数优化问题，对于不同的设计变量个数可以改变维数,对于DFP算法只需修改校正矩阵即可。对于BFGS算法的C++程序与之类似。-BFGS algorithm for C programs for 2 of the program design variable function optimization problem, the number of design variables for the different dimensions can be c