def apply_hess(self, path='', hessian='Newton'):
""" Evaluates action of Hessian on a given model vector.
"""
unix.cd(self.getpath)
self.imprt(path, 'model')
self.forward()
unix.mv(self.wildcard, 'traces/lcg')
preprocess.prepare_apply_hess(self.getpath)
self.adjoint()
self.export_kernels(path)
def apply_hess(self, path=''):
""" Computes action of Hessian on a given model vector. A gradient
evaluation must have already been carried out beforehand.
"""
unix.cd(self.getpath)
unix.mkdir('traces/lcg')
self.import_model(path)
self.forward('traces/lcg')
preprocess.prepare_apply_hess(self.getpath)
self.adjoint()
self.export_kernels(path)
def apply_hess(self, path=''):
""" Computes action of Hessian on a given model vector.
"""
# a gradient evaluation must have already been carried out
unix.cd(self.getpath)
unix.mkdir('traces/lcg')
self.import_model(path)
self.forward()
unix.mv(self.data_wildcard, 'traces/lcg')
preprocess.prepare_apply_hess(self.getpath)
self.adjoint()
self.export_kernels(path)