initial_time_bounds Namespace Reference

Classes
class	ProblemParameters
class	HinsbergPointsSetGivenNorm

Functions
def	CalculateErrors (points_set, pp)
def	ExactErrorTail (points_set, m_index, lower_limit)
def	K (points_set, m_index, t, pp)
def	K_dim (points_set, m_index, t, pp)
def	GetMaxTime (max_a, min_b, m, pp)
def	PerformQuadratureOfObjectiveFunctionSecondTerm (points_set, m_index, a, b)
def	ObjectiveFunctionInfinity (points_set, m_index, pp)
def	ObjectiveFunction (points_set, m_index, pp)
def	Average (vector_container, current_values, k_calc, pp)

Variables
	pp = ProblemParameters()
	n_samples
	t_w_min
	n_doublings
	error_norm_type
	initial_number_of_periods
list	phases = [i / pp.n_samples * 2 * math.pi for i in range(pp.n_samples)]
list	t_ws = [pp.t_w_min * 10 ** k for k in range(pp.n_doublings)]
list	exponential_numbers_t_norm = [0]
list	exponential_numbers_abs_norm = [0]
list	exponential_numbers_hinsberg_norm = [0]
list	norm_of_errors_t_norm = [[]] * len(t_ws)
list	norm_of_errors_abs_norm = [[]] * len(t_ws)
list	norm_of_errors_hinsberg_norm = [[]] * len(t_ws)
list	norm_of_bounds_t_norm = [[]] * len(t_ws)
list	norm_of_bounds_abs_norm = [[]] * len(t_ws)
list	norm_of_bounds_hinsberg_norm = [[]] * len(t_ws)
	rate_of_change
int	k_sample = 0
	end_time
	initial_time
	Delta_t
int	k_calc = 1
	k_max = len(t_ws)
	t_w
	end_time_minus_tw
	ND_end_time
	t_norm_set = HinsbergPointsSetGivenNorm('t_norm')
	abs_norm_set = HinsbergPointsSetGivenNorm('abs_norm')
	hinsberg_set = HinsbergPointsSetGivenNorm('hinsberg_norm')
	exponential_indices
	exponential_numbers
	size_factor = k_max
tuple	line_width = (size_factor * k_calc / k_max) ** 1.2
int	small_marker_size = 4 + 2 * (size_factor * k_calc / k_max) ** 1.2
int	big_marker_size = 4 + 3 * (size_factor * k_calc / k_max) ** 1.2
float	maker_width = 0.75 * (size_factor * k_calc / k_max) ** 1.2
	color
	linestyle
	label
	markersize
	marker
	fontsize
	labelpad
	axis
	which
	labelsize
	loc
	prop
	frameon
	ax = plt.gca()
	pad
	format
	dpi

Function Documentation

Average()

def initial_time_bounds.Average	(		vector_container,
			current_values,
			k_calc,
			pp
	)

CalculateErrors()

def initial_time_bounds.CalculateErrors	(		points_set,
			pp
	)

ExactErrorTail()

def initial_time_bounds.ExactErrorTail	(		points_set,
			m_index,
			lower_limit
	)

GetMaxTime()

def initial_time_bounds.GetMaxTime	(		max_a,
			min_b,
			m,
			pp
	)

K()

def initial_time_bounds.K	(		points_set,
			m_index,
			t,
			pp
	)

K_dim()

def initial_time_bounds.K_dim	(		points_set,
			m_index,
			t,
			pp
	)

ObjectiveFunction()

def initial_time_bounds.ObjectiveFunction	(		points_set,
			m_index,
			pp
	)

ObjectiveFunctionInfinity()

def initial_time_bounds.ObjectiveFunctionInfinity	(		points_set,
			m_index,
			pp
	)

PerformQuadratureOfObjectiveFunctionSecondTerm()

def initial_time_bounds.PerformQuadratureOfObjectiveFunctionSecondTerm	(		points_set,
			m_index,
			a,
			b
	)

Variable Documentation

abs_norm_set

initial_time_bounds.abs_norm_set = HinsbergPointsSetGivenNorm('abs_norm')

ax

initial_time_bounds.ax = plt.gca()

axis

initial_time_bounds.axis

big_marker_size

int initial_time_bounds.big_marker_size = 4 + 3 * (size_factor * k_calc / k_max) ** 1.2

color

initial_time_bounds.color

Delta_t

initial_time_bounds.Delta_t

dpi

initial_time_bounds.dpi

end_time

initial_time_bounds.end_time

end_time_minus_tw

initial_time_bounds.end_time_minus_tw

error_norm_type

initial_time_bounds.error_norm_type

exponential_indices

initial_time_bounds.exponential_indices

exponential_numbers

initial_time_bounds.exponential_numbers

exponential_numbers_abs_norm

initial_time_bounds.exponential_numbers_abs_norm = [0]

exponential_numbers_hinsberg_norm

initial_time_bounds.exponential_numbers_hinsberg_norm = [0]

exponential_numbers_t_norm

initial_time_bounds.exponential_numbers_t_norm = [0]

fontsize

initial_time_bounds.fontsize

format

initial_time_bounds.format

frameon

initial_time_bounds.frameon

hinsberg_set

initial_time_bounds.hinsberg_set = HinsbergPointsSetGivenNorm('hinsberg_norm')

initial_number_of_periods

initial_time_bounds.initial_number_of_periods

initial_time

initial_time_bounds.initial_time

k_calc

int initial_time_bounds.k_calc = 1

k_max

initial_time_bounds.k_max = len(t_ws)

k_sample

int initial_time_bounds.k_sample = 0

label

initial_time_bounds.label

labelpad

initial_time_bounds.labelpad

labelsize

initial_time_bounds.labelsize

line_width

tuple initial_time_bounds.line_width = (size_factor * k_calc / k_max) ** 1.2

linestyle

initial_time_bounds.linestyle

loc

initial_time_bounds.loc

maker_width

float initial_time_bounds.maker_width = 0.75 * (size_factor * k_calc / k_max) ** 1.2

marker

initial_time_bounds.marker

markersize

initial_time_bounds.markersize

n_doublings

initial_time_bounds.n_doublings

n_samples

initial_time_bounds.n_samples

ND_end_time

initial_time_bounds.ND_end_time

norm_of_bounds_abs_norm

list initial_time_bounds.norm_of_bounds_abs_norm = [[]] * len(t_ws)

norm_of_bounds_hinsberg_norm

list initial_time_bounds.norm_of_bounds_hinsberg_norm = [[]] * len(t_ws)

norm_of_bounds_t_norm

list initial_time_bounds.norm_of_bounds_t_norm = [[]] * len(t_ws)

norm_of_errors_abs_norm

list initial_time_bounds.norm_of_errors_abs_norm = [[]] * len(t_ws)

norm_of_errors_hinsberg_norm

list initial_time_bounds.norm_of_errors_hinsberg_norm = [[]] * len(t_ws)

norm_of_errors_t_norm

list initial_time_bounds.norm_of_errors_t_norm = [[]] * len(t_ws)

pad

initial_time_bounds.pad

phases

list initial_time_bounds.phases = [i / pp.n_samples * 2 * math.pi for i in range(pp.n_samples)]

pp

initial_time_bounds.pp = ProblemParameters()

prop

initial_time_bounds.prop

rate_of_change

initial_time_bounds.rate_of_change

size_factor

initial_time_bounds.size_factor = k_max

small_marker_size

int initial_time_bounds.small_marker_size = 4 + 2 * (size_factor * k_calc / k_max) ** 1.2

t_norm_set

initial_time_bounds.t_norm_set = HinsbergPointsSetGivenNorm('t_norm')

t_w

initial_time_bounds.t_w

t_w_min

initial_time_bounds.t_w_min

t_ws

list initial_time_bounds.t_ws = [pp.t_w_min * 10 ** k for k in range(pp.n_doublings)]

which

initial_time_bounds.which