#include <LBFGS.h>
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| LBFGSSolver (const LBFGSParam< Scalar > ¶m) | |
| template<typename Foo > | |
| int | minimize (Foo &f, Vector &x, Scalar &fx) |
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| 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) |
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| 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 at x, and overwrites grad with 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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