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| 1 | +# -*- coding: utf-8 -*- |
| 2 | +""" |
| 3 | +@author: sudipto3331 |
| 4 | +""" |
| 5 | + |
| 6 | +#Import libraries as necessary |
| 7 | +import math |
| 8 | +import numpy as np |
| 9 | +#import xlwt |
| 10 | +from xlwt import Workbook |
| 11 | + |
| 12 | +#Take necessary input |
| 13 | +#For bisection, two input is required to bracket the root |
| 14 | +xl=np.float(input ('Enter 1st initial value: ')) #1st input |
| 15 | +xu=float(input ('Enter 2nd initial value: ')) #2nd input |
| 16 | + |
| 17 | +#computing function values corresponding to initial values |
| 18 | + |
| 19 | +fxl=(667.38/xl)*(1-math.exp(-0.146843*xl))-40 |
| 20 | +fxu=(667.38/xu)*(1-math.exp(-0.146843*xu))-40 |
| 21 | + |
| 22 | +#checking initial input values |
| 23 | +if fxl*fxu>0: |
| 24 | + print('Wrong initial input') |
| 25 | +#if the initial input is correct |
| 26 | +elif fxl*fxu<0: |
| 27 | + #taking input |
| 28 | + err=float(input('Enter desired percentage relative error: ')) |
| 29 | + ite=int(input('Enter number of iterations: ')) |
| 30 | + #initialization |
| 31 | + x_l=np.zeros([ite]) |
| 32 | + x_u=np.zeros([ite]) |
| 33 | + x_c=np.zeros([ite]) |
| 34 | + |
| 35 | + f_xl=np.zeros([ite]) |
| 36 | + f_xu=np.zeros([ite]) |
| 37 | + f_xc=np.zeros([ite]) |
| 38 | + |
| 39 | + rel_err=np.zeros([ite]) |
| 40 | + itern=np.zeros([ite]) |
| 41 | + #storing initial computed values into array |
| 42 | + x_l[0]=xl |
| 43 | + x_u[0]=xu |
| 44 | + |
| 45 | + f_xl[0]=fxl |
| 46 | + f_xu[0]=fxu |
| 47 | + #begin iteration |
| 48 | + for i in range(ite): |
| 49 | + #storing the values of iteration |
| 50 | + itern[i]=i+1 |
| 51 | + #Bisection Formula |
| 52 | + x_c[i]=(x_l[i]+x_u[i])/2 |
| 53 | + |
| 54 | + f_xl[i]=(667.38/x_l[i])*(1-math.exp(-0.146843*x_l[i]))-40 |
| 55 | + f_xu[i]=(667.38/x_u[i])*(1-math.exp(-0.146843*x_u[i]))-40 |
| 56 | + f_xc[i]=(667.38/x_c[i])*(1-math.exp(-0.146843*x_c[i]))-40 |
| 57 | + #calculating error |
| 58 | + if i>0: |
| 59 | + rel_err[i]=((x_c[i]-x_c[i-1])/x_c[i])*100 |
| 60 | + #terminate if error criteria meets |
| 61 | + if all ([i>0, abs(rel_err[i])<err]): |
| 62 | + break |
| 63 | + elif f_xc[i]==0: |
| 64 | + break |
| 65 | + |
| 66 | + if i==ite-1: |
| 67 | + break |
| 68 | + #replacement of the new estimate |
| 69 | + if all ([f_xc[i]>0, f_xl[i]>0]): |
| 70 | + x_l[i+1]=x_c[i] |
| 71 | + x_u[i+1]=x_u[i] |
| 72 | + elif all ([f_xc[i]>0, f_xu[i]>0]): |
| 73 | + x_u[i+1]=x_c[i] |
| 74 | + x_l[i+1]=x_l[i] |
| 75 | + elif all ([f_xc[i]<0, f_xl[i]<0]): |
| 76 | + x_l[i+1]=x_c[i] |
| 77 | + x_u[i+1]=x_u[i] |
| 78 | + elif all ([f_xc[i]<0, f_xu[i]<0]): |
| 79 | + x_u[i+1]=x_c[i] |
| 80 | + x_l[i+1]=x_l[i] |
| 81 | + |
| 82 | + #Writing the results on an excel sheet |
| 83 | + #Workbook is created |
| 84 | + wb = Workbook() |
| 85 | + |
| 86 | + # add_sheet is used to create sheet. |
| 87 | + sheet1 = wb.add_sheet('Sheet 1') |
| 88 | + num_of_iter=i |
| 89 | + |
| 90 | + #writing on excel |
| 91 | + #sheet1.write(0,2,'The') |
| 92 | + sheet1.write(0,3,'Bisection') |
| 93 | + sheet1.write(0,4,'Method') |
| 94 | + #sheet1.write(0,5,x_c[i]) |
| 95 | + |
| 96 | + sheet1.write(1,0,'Number of iteration') |
| 97 | + sheet1.write(1,1,'x_l') |
| 98 | + sheet1.write(1,2,'x_u') |
| 99 | + sheet1.write(1,3,'f(x_l)') |
| 100 | + sheet1.write(1,4,'f(x_u)') |
| 101 | + sheet1.write(1,5,'x_c') |
| 102 | + sheet1.write(1,6,'f(x_c)') |
| 103 | + sheet1.write(1,7,'Relative error') |
| 104 | + |
| 105 | + #writing values on excel |
| 106 | + for n in range(num_of_iter+1): |
| 107 | + |
| 108 | + sheet1.write(n+2,0,itern[n]) |
| 109 | + sheet1.write(n+2,1,x_l[n]) |
| 110 | + sheet1.write(n+2,2,x_u[n]) |
| 111 | + sheet1.write(n+2,3,f_xl[n]) |
| 112 | + sheet1.write(n+2,4,f_xu[n]) |
| 113 | + sheet1.write(n+2,5,x_c[n]) |
| 114 | + sheet1.write(n+2,6,f_xc[n]) |
| 115 | + sheet1.write(n+2,7,rel_err[n]) |
| 116 | + |
| 117 | + sheet1.write(n+4,2,'The') |
| 118 | + sheet1.write(n+4,3,'root') |
| 119 | + sheet1.write(n+4,4,'is') |
| 120 | + sheet1.write(n+4,5,x_c[i]) |
| 121 | + |
| 122 | + #save the excel file |
| 123 | + wb.save('LAB1.xls') |
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