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中文说明：
有限内存BFGS（L-BFGS）是拟牛顿方法家族中的一种优化算法，它使用有限的计算机内存近似于Broyden-Fletcher-Goldfarb-Shanno（BFGS）算法。它是机器学习中常用的参数估计算法
English Description：
Limited memory BFGS (l-bfgs) is an optimization algorithm in the family of quasi Newton methods. It uses limited computer memory and is similar to Broyden Fletcher Goldfarb Shanno (BFGS) algorithm. It is a common parameter estimation algorithm in machine learning
matlab-lbfgs-master
matlab-lbfgs-master\.gitignore
matlab-lbfgs-master\README.md
matlab-lbfgs-master\src
matlab-lbfgs-master\src\TMLineSearch.m
matlab-lbfgs-master\src\lbfgs.m
matlab-lbfgs-master\src\lineSearch.m
matlab-lbfgs-master\src\mtLineSearch.m
matlab-lbfgs-master\src\optimLineSearch.m
matlab-lbfgs-master\src\simpleLineSearch.m
matlab-lbfgs-master\test
matlab-lbfgs-master\test\rosenbrockfunc.m
matlab-lbfgs-master\test\test.m
matlab-lbfgs-master\test\testfunc.m