hinsberg_optimization_4.py File Reference

Classes
class	hinsberg_optimization_4.K_B
class	hinsberg_optimization_4.K_component
class	hinsberg_optimization_4.K_sum
class	hinsberg_optimization_4.Functional

Namespaces
	hinsberg_optimization_4

Functions
def	hinsberg_optimization_4.DawsonIntegral (x)
def	hinsberg_optimization_4.FindZero (f, x0)
def	hinsberg_optimization_4.ApproximateQuadrature (times, f)
def	hinsberg_optimization_4.SubstituteRichardsons (approx_successive_values, k, order, level=- 1)
def	hinsberg_optimization_4.FillUpMatrices (F, ais, tis)
def	hinsberg_optimization_4.GetExponentialsCoefficients (functional, a0, t0)
def	hinsberg_optimization_4.TimesToTaus (times)
def	hinsberg_optimization_4.TausToTimes (taus)

Variables
list	hinsberg_optimization_4.tis = [0.1, 0.3, 1., 3., 5.,10., 40., 190., 1000., 6500., 50000.]
list	hinsberg_optimization_4.a0 = [0.4 for t in tis]
int	hinsberg_optimization_4.m = 5
int	hinsberg_optimization_4.tol = 1e-9
int	hinsberg_optimization_4.tol_residual = 1e-6
int	hinsberg_optimization_4.max_iter = 30
bool	hinsberg_optimization_4.still_changing = True
	hinsberg_optimization_4.a = np.array(a0 + tis)
	hinsberg_optimization_4.a_old = np.array(a0 + tis)
	hinsberg_optimization_4.a_best = np.array(a0 + tis)
int	hinsberg_optimization_4.iteration = 0
	hinsberg_optimization_4.F = Functional()
	hinsberg_optimization_4.mod_residual = F.Fmod()
	hinsberg_optimization_4.best_residual = F.F()
	hinsberg_optimization_4.old_residual = best_residual
float	hinsberg_optimization_4.gamma_0 = 0.5
	hinsberg_optimization_4.grad
	hinsberg_optimization_4.H_inv
	hinsberg_optimization_4.p = H_inv.dot(grad)
	hinsberg_optimization_4.residual = F.F()
	hinsberg_optimization_4.gradient_norm = sum([abs(float(g)) for g in grad])