搜索资源列表
regu
- 正则化化技术处理，l_curve方法和gcv方法选择参数，进行求解，得到问题的最解-Regularization of technical processing, l_curve methods and gcv method to select parameters, is solved by the solutions of the problem
csvd
- 用于特征值进行分解的，希望对大家有用！ 互相交流，因初学，不到之处见谅！-For eigenvalue decomposition, and we hope to be useful! Exchange, as beginners, no place forgive me!
deriv2
- 这是一个压缩奇异值分解算法。该算法将一个矩阵进行奇异值分解。CSVD Compact singular value decomposition-This is a compression algorithm for singular value decomposition. The algorithm is a matrix singular value decomposition. CSVD Compact singular value decomposition
Regularization-Method
- 正则化方法包括Tikhonov，tsvd,ttls,tgsvd,csvd-Regularization Method include Tikhonov，tsvd,ttls,tgsvd,csvd.
csvd-d
- vhdl implementation of pong
csvd+ttls
- ttls的正则化方法，适用于各种病态反问题的求解(The regularization method of ttls is applicable to solving various ill conditioned inverse problems)