kenluck2001

"""
Evaluation source code
Author: Kenneth Emeka Odoh

References:
https://becominghuman.ai/differential-privacy-noise-adding-mechanisms-ede242dcbb2e
https://arxiv.org/pdf/1912.04222.pdf
https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf

Code was tested in Pthon 2.7

kenluck2001

import numpy as np
import pyflux as pf
import pandas as pd


class TimeSeriesPrediction:
    'Common base for time series prediction'

    iterations=500
    updateFlag=False

kenluck2001

a = 0; b = 4; c = -2; d = 2

n = 20;


h = (b - a)/n; k = (d - c)/n;
x= a:h:b; y=c:k:d;


totallist = zeros(  1, length(y) )

kenluck2001

#!/usr/bin/python
import math
import decimal


def calculatePi (num_of_iteration):
    """
     Gauss Legendre iterative algorithm 
     This repeats the given calculation a number of times until it converges at the desired output. This is faster than infinitive series algorithm although consume more memory like in our solution. The size of the list increases and that affect space complexity.
    """