Is there a way if the previous code is plugged in the example below. Monte Carlo Simulation2000-1500-1000-500-Pv0+19,720 37,540 55,360 73,180 91,00010,810 28,630 46,450 64.270 82,090Number of Bins: 10O UniformNormalMean: 5500Standard Dev.: 1200Number of Itertions: 10000NUniformAverage Total Profit:NormalMinimum:Maximum:$30,148.57RunSimulation110ExitX

Program Approach: Step 1: for defining series or manipulating random integers. Step 2: put up the…

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Is there a way if the previous code is plugged in the example below.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Use the cubicSpline module to write programs that interpolate between a given data point with a cubic spline. The program must be able to evaluate the interpolant for more than one x value. As a test, use the data points specified in the previous Example and calculate the interpolants at x = 1.5 and x = 4.5 (due to symmetry, these values must be the same) import numpy as np from cubicSpline import * xData = np.array([1,2,3,4,5], float) yData = np.array([0,1,0,1,0], float) k = curvatures (xData, yData) while True: try: x = eval(input("\nx ==> ")) except SyntaxError: break print("y=", evalSpline (xData, yData, k, x)) input ("Done. Press return to exit") Exercise Fix the Cubic Spline Program There is an error in the Cubic Spline program, fix it and evaluate the values of x 1/2 = 1.5 and x = 4.5, where the results of both values must be the same.
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