hinsberg_optimization Namespace Reference

Classes
class	K_B
class	K_component
class	K_sum
class	Functional

Functions
def	FillUpMatrices (F, a)
def	GetExponentialsCoefficients (functional, a0)

Variables
list	tis = [0.1, 0.3, 1., 3., 10., 40., 190., 1000., 6500., 50000.]
list	a0 = [0.2 for ti in tis]
int	tol = 1e-9
int	max_iter = 10
bool	still_changes = True
	a = np.array(a0)
	a_old = np.array(a0)
int	iteration = 0
	F = Functional(tis)
	grad
	H_inv

Function Documentation

FillUpMatrices()

def hinsberg_optimization.FillUpMatrices	(		F,
			a
	)

GetExponentialsCoefficients()

def hinsberg_optimization.GetExponentialsCoefficients	(		functional,
			a0
	)

Variable Documentation

a

hinsberg_optimization.a = np.array(a0)

a0

list hinsberg_optimization.a0 = [0.2 for ti in tis]

a_old

hinsberg_optimization.a_old = np.array(a0)

F

hinsberg_optimization.F = Functional(tis)

grad

hinsberg_optimization.grad

H_inv

hinsberg_optimization.H_inv

iteration

int hinsberg_optimization.iteration = 0

max_iter

int hinsberg_optimization.max_iter = 10

still_changes

int hinsberg_optimization.still_changes = True

tis

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

tol

int hinsberg_optimization.tol = 1e-9