m_n_kappa.solver.Bisection

class m_n_kappa.solver.Bisection(data, target, variable)

Bases: Solver

Bisection solver

New in version 0.1.0.

Parameters:

• data (list[dict] | list[list]) – data containing target and variable keys

• target (str | int) – key of the target (e.g. str for dictionaries or int for lists)

• variable (str | int) – variable of the target (e.g. str for dictionaries or int for lists)

Methods

compute([use_fallback])	Compute a new variable value that leading to a target-value nearer zero
print_values()

Attributes

data	passed data
maximum_variable	maximum variable value given in data
minimum_variable	minimum variable value given in data
target	key of the target in data
variable	key of the variable in data
x_n	lastly computed variable value
x_n_plus_1	new computed value

compute(use_fallback=False)

Compute a new variable value that leading to a target-value nearer zero

Parameters:

use_fallback (bool) – has no effect, as bisection is the fallback-function

Returns:

new variable-value leading to a target-value nearer zero than the values in data

Return type:

float

property data: list

passed data

property maximum_variable: float

maximum variable value given in data

property minimum_variable: float

minimum variable value given in data

property target: str | int

key of the target in data

property variable: str | int

key of the variable in data

property x_n: float

lastly computed variable value

property x_n_plus_1: float

new computed value