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levmar[1]
- 最小二乘算法比较经典的著述,可以看一下,对学习LM,高斯牛顿法很有启示-Comparison of classical writings least squares algorithm, can look
BP.m
- BP神经网络代码,使用LM算法(高斯牛顿法的改进,具有很好的鲁棒性)-BP neural network code, use the LM algorithm (modified Gauss-Newton method has good robustness)
liangyuan_lbp
- 滴流的lbp算法 主要是层流的高度问题 我自己改造的层流重建 - 加权修正高斯牛顿 -算法算法-The trickle of LBP algorithm Mainly is the height of the laminar flow problem My own transformation of laminar flow reconstruction- weighted modified gauss-newton algorithm- algorithm