def nebm_step(self, y):
self.compute_effective_field_and_energy(y)
nebm_clib.project_images(self.gradientE, y, self.n_images,
self.n_dofs_image)
self.compute_tangents(y)
self.compute_spring_force(y)
nebm_clib.compute_effective_force(self.G, self.tangents,
self.gradientE, self.spring_force,
self._climbing_image, self.n_images,
self.n_dofs_image)
def nebm_step(self, y):
# The convergence of the algorithm depends on how we redefine the
# angles: Redefining the tangents and spring force helps a little
self.compute_effective_field_and_energy(y)
self.compute_tangents(y)
self.compute_spring_force(y)
nebm_clib.compute_effective_force(self.G, self.tangents,
self.gradientE, self.spring_force,
self.climbing_image, self.n_images,
self.n_dofs_image)
def nebm_step(self, y):
# The convergence of the algorithm depends on how we redefine the
# angles: Redefining the tangents and spring force helps a little
self.compute_effective_field_and_energy(y)
self.compute_tangents(y)
self.compute_spring_force(y)
nebm_clib.compute_effective_force(self.G,
self.tangents,
self.gradientE,
self.spring_force,
self.climbing_image,
self.n_images,
self.n_dofs_image
)
def nebm_step(self, y):
self.compute_effective_field_and_energy(y)
self.compute_tangents(y)
self.compute_spring_force(y)
nebm_clib.compute_effective_force(self.G,
self.tangents,
self.gradientE,
self.spring_force,
self.climbing_image,
self.n_images,
self.n_dofs_image
)
nebm_cartesian.project_images(self.G, y,
self.n_images, self.n_dofs_image
)
