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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).
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This library is a C port of the implementation of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method written by Jorge Nocedal. The original FORTRAN source code is available at:
This library is a C port of the implementation of Limited
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在unix-Linux环境下运行的，有限内存BFGS方法，可以解无约束的优化问题-In unix-Linux environment running on limited memory BFGS method for Unconstrained Optimization
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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.
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拟牛顿算法计算函数最小值，采用LBFGS算法，亲测可用。-a C port of the implementation of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) method written by Jorge Nocedal.
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L-BFGS算法比较适合在大规模的数值计算中，具备牛顿法收敛速度快的特点，但不需要牛顿法那样存储Hesse矩阵，因此节省了大量的空间以及计算资源。-Limited-memory BFGS (L-BFGS or LM-BFGS) is an optimization algorithm in the family of quasi-Newton methods that approximates the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorit
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