Difference between revisions of "Quiz 1"
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[[File:Hasil.jpg]] | [[File:Hasil.jpg]] | ||
+ | |||
+ | coding nomor 1 | ||
+ | |||
+ | import numpy as np | ||
+ | |||
+ | A = np.array([[1, 2, 0, -2, 0], [0, 1, 0, 2, -1], [0, 1, -1, 1, -1], [0, 0, 0, -1, 1], [0, 0, 2, 1, 2]], float) | ||
+ | B = np.array([1, 1, -4, -2, -1], float) | ||
+ | print ('Matriks A', A) | ||
+ | print ('Matriks B', B) | ||
+ | n = len(A) | ||
+ | for k in range(0,n-1): | ||
+ | for i in range(k+1,n): | ||
+ | if A[i,k]!=0 : | ||
+ | lam = A[i,k]/A[k,k] | ||
+ | A[i,k:n] = A[i,k:n]-(A[k,k:n]*lam) | ||
+ | B[i] = B[i]-(B[k]*lam) | ||
+ | print ('Matriks A sesudah di eliminasi Gauss : ', '\n',A) | ||
+ | x = np.zeros(n,float) | ||
+ | for m in range(n-1,-1,-1): | ||
+ | x[m]=(B[m]-np.dot(A[m,m+1:n],x[m+1:n]))/A[m,m] | ||
+ | print ('Nilai X sama dengan', m+1, '=', x[m]) | ||
+ | |||
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[[File:Hasil 2.jpg]] | [[File:Hasil 2.jpg]] | ||
+ | coding nomor 2 | ||
+ | |||
+ | import numpy as np | ||
+ | |||
+ | def diff_y (x,Y): | ||
+ | fungsi = x**2 - 4*y | ||
+ | return (fungsi) | ||
+ | x=0 | ||
+ | y=1 | ||
+ | h=0.01 | ||
+ | step_size -np.arange (0,0.03,h) | ||
+ | |||
+ | for t in step_size: | ||
+ | kl-diff_y (x,y) | ||
+ | k2- diff_y ((x+0.5*h), (y+0.5*kl*h)) | ||
+ | y-y+kl*h | ||
+ | print ('maka y(0.03) sama dengan', y) |
Latest revision as of 15:18, 14 October 2019
Nomor 1
coding nomor 1
import numpy as np
A = np.array([[1, 2, 0, -2, 0], [0, 1, 0, 2, -1], [0, 1, -1, 1, -1], [0, 0, 0, -1, 1], [0, 0, 2, 1, 2]], float) B = np.array([1, 1, -4, -2, -1], float) print ('Matriks A', A) print ('Matriks B', B) n = len(A) for k in range(0,n-1):
for i in range(k+1,n): if A[i,k]!=0 : lam = A[i,k]/A[k,k] A[i,k:n] = A[i,k:n]-(A[k,k:n]*lam) B[i] = B[i]-(B[k]*lam)
print ('Matriks A sesudah di eliminasi Gauss : ', '\n',A) x = np.zeros(n,float) for m in range(n-1,-1,-1):
x[m]=(B[m]-np.dot(A[m,m+1:n],x[m+1:n]))/A[m,m] print ('Nilai X sama dengan', m+1, '=', x[m])
nomor 2
Error creating thumbnail: File with dimensions greater than 12.5 MP
coding nomor 2
import numpy as np
def diff_y (x,Y):
fungsi = x**2 - 4*y return (fungsi)
x=0 y=1 h=0.01 step_size -np.arange (0,0.03,h)
for t in step_size:
kl-diff_y (x,y) k2- diff_y ((x+0.5*h), (y+0.5*kl*h)) y-y+kl*h
print ('maka y(0.03) sama dengan', y)