L-BFGS-B-C-master
代码说明：
基于梯度下降法的最优迭代算法，在深度学习和神经网络中应用非常广泛，也非常好用(The optimal iterative algorithm based on gradient descent method is widely used in depth learning and neural network, and it is also very useful.)
文件列表：
L-BFGS-B-C-master, 0 , 2018-04-18
L-BFGS-B-C-master\.gitignore, 223 , 2018-04-18
L-BFGS-B-C-master\INSTALL, 459 , 2018-04-18
L-BFGS-B-C-master\LICENSE, 1513 , 2018-04-18
L-BFGS-B-C-master\Matlab, 0 , 2018-04-18
L-BFGS-B-C-master\Matlab\Makefile, 917 , 2018-04-18
L-BFGS-B-C-master\Matlab\compile_mex.m, 3942 , 2018-04-18
L-BFGS-B-C-master\Matlab\driver1.m, 385 , 2018-04-18
L-BFGS-B-C-master\Matlab\example_NNLS.m, 7903 , 2018-04-18
L-BFGS-B-C-master\Matlab\fminunc_wrapper.m, 224 , 2018-04-18
L-BFGS-B-C-master\Matlab\lbfgsb.m, 10371 , 2018-04-18
L-BFGS-B-C-master\Matlab\lbfgsb_wrapper.c, 11811 , 2018-04-18
L-BFGS-B-C-master\Matlab\lbfgsb_wrapper.mexa64, 60892 , 2018-04-18
L-BFGS-B-C-master\Matlab\lbfgsb_wrapper.mexmaci64, 101444 , 2018-04-18
L-BFGS-B-C-master\Matlab\lbfgsb_wrapper.mexw64, 53248 , 2018-04-18
L-BFGS-B-C-master\README.md, 3936 , 2018-04-18
L-BFGS-B-C-master\VERSION, 56 , 2018-04-18
L-BFGS-B-C-master\src, 0 , 2018-04-18
L-BFGS-B-C-master\src\Makefile, 1329 , 2018-04-18
L-BFGS-B-C-master\src\driver1.c, 13790 , 2018-04-18
L-BFGS-B-C-master\src\driver2.c, 9220 , 2018-04-18
L-BFGS-B-C-master\src\driver3.c, 11265 , 2018-04-18
L-BFGS-B-C-master\src\lbfgsb.c, 37431 , 2018-04-18
L-BFGS-B-C-master\src\lbfgsb.h, 12693 , 2018-04-18
L-BFGS-B-C-master\src\linesearch.c, 26051 , 2018-04-18
L-BFGS-B-C-master\src\linpack.c, 7504 , 2018-04-18
L-BFGS-B-C-master\src\miniCBLAS.c, 8594 , 2018-04-18
L-BFGS-B-C-master\src\print.c, 10421 , 2018-04-18
L-BFGS-B-C-master\src\subalgorithms.c, 69775 , 2018-04-18
L-BFGS-B-C-master\src\timer.c, 823 , 2018-04-18
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