mcpele
1.0.0
The Monte Carlo Python Energy Landscape Explorer
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_underlying_potential | pele::FrozenPotentialWrapper< LJ > | [protected] |
add_energy_gradient(Array< double > x, Array< double > grad) | pele::BasePotential | [inline, virtual] |
add_energy_gradient_hessian(Array< double > x, Array< double > grad, Array< double > hess) | pele::BasePotential | [inline, virtual] |
coords_converter | pele::FrozenPotentialWrapper< LJ > | |
FrozenPotentialWrapper(std::shared_ptr< LJ > potential, Array< double > const &reference_coords, Array< size_t > const &frozen_dof) | pele::FrozenPotentialWrapper< LJ > | [inline, protected] |
get_energy(Array< double > reduced_coords) | pele::FrozenPotentialWrapper< LJ > | [inline, virtual] |
get_energy_gradient(Array< double > reduced_coords, Array< double > reduced_grad) | pele::FrozenPotentialWrapper< LJ > | [inline, virtual] |
get_energy_gradient_hessian(Array< double > reduced_coords, Array< double > reduced_grad, Array< double > reduced_hess) | pele::FrozenPotentialWrapper< LJ > | [inline, virtual] |
get_hessian(Array< double > x, Array< double > hess) | pele::BasePotential | [inline, virtual] |
LJFrozen(double C6, double C12, Array< double > const &reference_coords, Array< size_t > const &frozen_dof) | pele::LJFrozen | [inline] |
numerical_gradient(Array< double > x, Array< double > grad, double eps=1e-6) | pele::BasePotential | [inline, virtual] |
numerical_hessian(Array< double > x, Array< double > hess, double eps=1e-6) | pele::BasePotential | [inline, virtual] |
~BasePotential() | pele::BasePotential | [inline, virtual] |
~FrozenPotentialWrapper() | pele::FrozenPotentialWrapper< LJ > | [inline] |