hinsberg_optimization_3 Namespace Reference

Classes
class	K_B
class	K_component
class	K_sum
class	Functional

Functions
def	DawsonIntegral (x)
def	FillUpMatrices (F, ais, tis)
def	GetExponentialsCoefficients (functional, a0, t0)

Variables
list	tis = [0.1, 0.3, 1., 3., 10., 40., 190., 1000., 6500., 50000.]
list	a0 = [ 0.23477446, 0.28549392, 0.28479113, 0.26149251, 0.32055117, 0.35351918, 0.3963018, 0.42237921, 0.48282255, 0.63471099]
int	tol = 1e-9
int	max_iter = 50
bool	still_changes = True
	a = np.array(a0 + tis)
	a_old = np.array(a0 + tis)
int	iteration = 0
	F = Functional()
	grad
	H_inv

Function Documentation

DawsonIntegral()

def hinsberg_optimization_3.DawsonIntegral

(

x

)

FillUpMatrices()

def hinsberg_optimization_3.FillUpMatrices	(		F,
			ais,
			tis
	)

GetExponentialsCoefficients()

def hinsberg_optimization_3.GetExponentialsCoefficients	(		functional,
			a0,
			t0
	)

Variable Documentation

a

hinsberg_optimization_3.a = np.array(a0 + tis)

a0

list hinsberg_optimization_3.a0 = [ 0.23477446, 0.28549392, 0.28479113, 0.26149251, 0.32055117, 0.35351918, 0.3963018, 0.42237921, 0.48282255, 0.63471099]

a_old

hinsberg_optimization_3.a_old = np.array(a0 + tis)

F

hinsberg_optimization_3.F = Functional()

grad

hinsberg_optimization_3.grad

H_inv

hinsberg_optimization_3.H_inv

iteration

int hinsberg_optimization_3.iteration = 0

max_iter

int hinsberg_optimization_3.max_iter = 50

still_changes

int hinsberg_optimization_3.still_changes = True

tis

list hinsberg_optimization_3.tis = [0.1, 0.3, 1., 3., 10., 40., 190., 1000., 6500., 50000.]

tol

int hinsberg_optimization_3.tol = 1e-9