#include <LBFGS.h>
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| LBFGSSolver (const LBFGSParam< Scalar > ¶m) | |
| template<typename Foo > | |
| int | minimize (Foo &f, Vector &x, Scalar &fx) | 
| Private Types | |
| typedef Eigen::Map< Vector > | MapVec | 
| typedef Eigen::Matrix< Scalar, Eigen::Dynamic, Eigen::Dynamic > | Matrix | 
| typedef Eigen::Matrix< Scalar, Eigen::Dynamic, 1 > | Vector | 
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| void | reset (int n) | 
| Private Attributes | |
| Vector | m_alpha | 
| Vector | m_drt | 
| Vector | m_fx | 
| Vector | m_grad | 
| Vector | m_gradp | 
| const LBFGSParam< Scalar > & | m_param | 
| Matrix | m_s | 
| Vector | m_xp | 
| Matrix | m_y | 
| Vector | m_ys | 
LBFGS solver for unconstrained numerical optimization
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Constructor for LBFGS solver.
| param | An object of LBFGSParam to store parameters for the algorithm | 
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Minimizing a multivariate function using LBFGS algorithm. Exceptions will be thrown if error occurs.
| f | A function object such that f(x, grad)returns the objective function value atx, and overwritesgradwith the gradient. | 
| x | In: An initial guess of the optimal point. Out: The best point found. | 
| fx | Out: The objective function value at x. | 
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