Data Analysis

Dear Support, First assignment is completed

https://drive.google.com/file/d/124NU2HSaMIGgqD-SxCT1qPzUqEV1UXrl/view?usp=sharing

Write a Matlab program to calculate drag force. %% Program 1 clear all close all clc % inputs Parameter %drag force c_d = 0.8 %% Coefficient of Drag force is defined % Area m^2 A = 0.1 %% sectional area of Rider is considerd %Density kg/m^3 rho = 1.2 %% variable is defined for to define the Density of Air %Velocity in…

# Assignment for Ice breaking with Air-cushion Vehicle # To calculate the minimum pressure using Netwon Rephson Method import matplotlib.pyplot as pl import numpy as np import math # Given function f(x) = P^3(1-B^2)+(0.4hB^2-(S*h^2)/r^2)*P^2 +((S^2*h^4*P)/3*r^4)*P -((S*h^2)/(3*r^2))^3 = 0 # Objective minimization of function…

\'\'\' Data analysis \'\'\' #Import Modules import matplotlib.pyplot as graph import numpy as np from numpy import trapz as trp #input the data data_file = \'engine_data.out\' n = 0 Header = 0 Col_Name = [] col_units = [] for line in open(data_file,\'r\'): if \'#\' not in line: n = n + 1 cols = len(str.split(line)) # columns…

import math import matplotlib.pyplot as plt \"\"\" function is created by define with name Engine Kinematics \"\"\" def engine_kin(bore,stroke,con_rod,cr,start_crank,end_crank): #Geometric parameters a=stroke/2 R=con_rod/a # Volume calculations V_s=math.pi*(1/4)*pow(bore,2)*stroke # Swept volume computation V_c=V_s/(cr-1)…

# To read the data file as a input provided def read_file():temperature = []cp = []for line in open(\'data\',\'r\'):values = line.split(\',\') # Data is splint using read the file temperature.append(float(values[0])) # temperature is assigned with appending with read the data in float valuescp.append(float(values[1]))…

function [fx_y] = stag(input_parameter) x = input_parameter(1); y = input_parameter(2); f1_x = (sin((5.1*pi.*x)+0.5)).^6; % Define the function f1.x f1_y = (sin((5.1*pi.*y)+0.5)).^6; % Define the function f1.y f2_x = exp(-4*log(2).*(((x-0.0667).^2)/0.64)); % Define the function f2.x f2_y = exp(-4*log(2).*(((y-0.0667).^2)/0.64));…