kurva linear non linear
DESCRIPTION
tabel linierTRANSCRIPT
TUGAS 2 METODE NUMERIK & KOMPUTASI
Nama: ZELVIA ZAHARA RAMBENPM: 148110018
n 1 2 3 4 5 6 7 8 9 10x 2.5 3.5 5 6 7.5 10 12.5 15 17.5 20 99.5y 5 3.4 2 1.6 1.2 0.8 0.6 0.4 0.3 0.3 15.6
Gambarkan Kurva dari hasil :1) Metode Kuadrat Terkecil2) Polynominal
Penyelesaian :
1) Metode Kuadrat Terkecil
n 1 2 3 4 5 6 7 8 9 10x 2.5 3.5 5 6 7.5 10 12.5 15 17.5 20 99.5y 5 3.4 2 1.6 1.2 0.8 0.6 0.4 0.3 0.3 15.6xi.yi 12.5 11.9 10 9.6 9 8 7.5 6 5.25 6 85.75
6.25 12.25 25 36 56.25 100 156.3 225 306.3 400 1323.25
1.56
9.95
b = 10(85,75)-(15x99,5)10(1323) -(99,5)^2
b= -0.20848
a = 3.63435
y= 3,63453 - 0,20848 x
a) y= a0 + a1x + a2x2
b) y= a0 + a1x + a2x2 + a3x3
xi2
y ̅*= (∑y)/n=
x ̅�= (∑y)/n= b=(n∑〖xiyi - ∑xy〗)/(n∑〖〖xi〗^2 - ∑〖yi〗^2 〗)
a=y ̅�-bx ̅�
𝑦 ̅�= (∑▒𝑦)/𝑛= 𝑥 '= (∑ )/ = ▒𝑦 𝑛
𝑏=(𝑛∑▒ − ∑▒〖𝑥𝑖𝑦𝑖 𝑥𝑦〗 )/( ∑𝑛 ▒ 〖〖𝑥𝑖〗 ^2 − ∑▒ 〖𝑦𝑖〗 ^2 〗)
𝑎= '− '𝑦 𝑏𝑥
TUGAS 2 METODE NUMERIK & KOMPUTASI
Maka Kurva Linear dari soal diatas dapat di gambarkan sebagai berikut :
x y-3 4.26-2 4.0515-1 3.8430 3.63451 3.42612 3.21763 3.00914 2.80065 2.59216 2.38377 2.17528 1.96679 1.7582
10 1.549711 1.341212 1.132813 0.924314 0.715815 0.507316 0.298817 0.090418 -0.118119 -0.326620 -0.535121 -0.743522 -0.95223 -1.160524 -1.36925 -1.5775
-5 0 5 10 15 20 25 30
-2
-1
0
1
2
3
4
5
6
Metode Kuadrat Terkecil
Data
y = 3,63453 - 0,20848 x
x
y
TUGAS 2 METODE NUMERIK & KOMPUTASI
TUGAS 2 METODE NUMERIK & KOMPUTASI
Nama: ZELVIA ZAHARA RAMBENPM: 148110018
PERBAIKAN
n 1 2 3 4 5 6 7 8 9 10x 2.5 3.5 5 6 7.5 10 12.5 15 17.5 20 99.5y 5 3.4 2 1.6 1.2 0.8 0.6 0.4 0.3 0.3 15.6
Gambarkan Kurva dari hasil :1) Metode Kuadrat Terkecil2) Polynominal
Penyelesaian :1) Metode Kuadrat Terkecil
n xi yi qi = log x pi = log yi qi. Pi qi21 2.5 5 0.39794 0.69897 0.27815 0.158362 3.5 3.4 0.54407 0.53148 0.28916 0.296013 5 2 0.69897 0.30103 0.21041 0.488564 6 1.6 0.77815 0.20412 0.15884 0.605525 7.5 1.2 0.87506 0.07918 0.06929 0.765736 10 0.8 1 -0.09691 -0.09691 17 12.5 0.6 1.09691 -0.22185 -0.24335 1.203218 15 0.4 1.17609 -0.39794 -0.46801 1.383199 17.5 0.3 1.24304 -0.52288 -0.64996 1.54514
10 20 0.3 1.30103 -0.52288 -0.68028 1.69268∑ 9.11126 0.05232 -1.13267 9.13840
B=B= -1.41037840394616
0.005232388
q= 0.911125989
A= 1.29026480620269
a) y= a0 + a1x + a2x2
b) y= a0 + a1x + a2x2 + a3x3
(n.∑qi.pi)-(∑qi x ∑pi)/(n.∑qi2)-(∑qi)2
p ̅�= (∑log yi )/np =
q ̅�= (∑log xi )/nA= p ̅� - B.q ̅�
P= 1.290264806 -1.41 q
A= log aa= 19.51034
maka persamaan :y=
Maka Kurva dari soal diatas dapat di gambarkan sebagai berikut :
y=
x y1 19.510342 7.3400434863 4.1432708454 2.7614197595 2.0158241266 1.5587523437 1.2541711698 1.0388820049 0.879876686
10 0.75837923611 0.66299016312 0.58642289113 0.52382134414 0.47183549415 0.42808609816 0.39084091217 0.35881141618 0.33102104519 0.30671737220 0.28531212521 0.26633932822 0.24942551623 0.23426818124 0.22061991325 0.208276581
19,51034 x -1,41038
19,51034 x -1,41038
0 5 10 15 20 25 300
5
10
15
20
25
DataColumn C
x
y
contoh:
n 1 2 3 4 5x 1 2 3 4 5y 0.5 1.7 3.4 5.7 8.4
n xi yi qi = log x pi = log yi qi. Pi qi21 1 0.5 0.00000 -0.30103 0.00000 0.000002 2 1.7 0.30103 0.23045 0.06937 0.09062
3 3 3.4 0.47712 0.53148 0.25358 0.22764
4 4 5.7 0.60206 0.75587 0.45508 0.362485 5 8.4 0.69897 0.92428 0.64604 0.48856
∑ 2.07918 2.14105 1.42408 1.16930
B= 1.751723648 -3.028 -1.98723762P= 0.428 1.523500597q= 0.416A= -0.30021979a= 0.501
y= 0.498
x y1 0.4982 1.6853 3.4354 5.6955 8.43
6 11.61
7 15.23
8 19.25
0 5 10 15 20 25 300
5
10
15
20
25
DataColumn C
x
y
𝐴= 𝑝 ̅� −B.𝑞 ̅�𝑞 ̅�= (∑▒log 𝑥𝑖 )/𝑛
2) Polynominal a. y= a0 + a1x + a2x2
n xi yi xi.yi1 2.5 5 6.25 15.625 39.0625 12.5 31.252 3.5 3.4 12.25 42.875 150.0625 11.9 41.653 5 2 25 125 625 10 504 6 1.6 36 216 1296 9.6 57.65 7.5 1.2 56.25 421.875 3164.063 9 67.56 10 0.8 100 1000 10000 8 807 12.5 0.6 156.25 1953.125 24414.06 7.5 93.758 15 0.4 225 3375 50625 6 90
9 17.5 0.3 306.25 5359.375 93789.06 5.25 91.875
10 20 0.3 400 8000 160000 6 120
∑ 99.5 15.6 1323.25 20508.88 344102 85.75 723.63
10 99.5 1323.25 15.6
99.5 1323.25 20508.88 = 85.75
1323.25 20508.875 344102.31 723.625
metode eliminasi gauss jordan
1 9.95 132.33 1.56
0 333.225 7342.54 = -69.47
0 7342.5375 169003.2563 -1340.645
1 0 -86.92100 3.63435
0 1 22.03477 = -0.20848
0 0 7212.103309 190.11074
1 0 0 5.92559
0 1 0 = -0.78931
0 0 1 0.02636
maka diperoleh :
= 5.92559
= -0.78931
= 0.02636
persamaan kurva diperoleh :
xi2 xi3 xi4 xi2.yi
a0
a1
a2
a0
a1
a2
a0
a1
a2
a0
a1
a2
a0
a1
a2
y=
Maka Kurva dari soal diatas dapat di gambarkan sebagai berikut :
y=
x y
-3 8.53076
-2 7.60965-1 6.741260 5.92559
1 5.162642 4.452413 3.79494 3.190115 2.638046 2.138697 1.692068 1.298159 0.95696
10 0.6684911 0.4327412 0.2497113 0.119414 0.0418115 0.0169416 0.0447917 0.1253618 0.2586519 0.4446620 0.6833921 0.9748422 1.3190123 1.715924 2.16551
5,92559 - 0,78931 x + 0,02636 x2
5,92559 - 0,78931 x + 0,02636 x2
-5 0 5 10 15 20 25 300
1
2
3
4
5
6
7
8
9
Polynominal a0 + a1x1 + a2x2
Datay= a0 + a1x + a2x2
x
y
-5 0 5 10 15 20 25 300
1
2
3
4
5
6
7
8
9
Polynominal a0 + a1x1 + a2x2
Datay= a0 + a1x + a2x2
x
y
2) Polynominal b. y = a0 + a1x + a2x2 + a3x3
n xi yi xi.yi1 2.5 5 6.25 15.625 39.0625 97.65625 244.140625 12.52 3.5 3.4 12.25 42.875 150.0625 525.2188 1838.26563 11.93 5 2 25 125 625 3125 15625 104 6 1.6 36 216 1296 7776 46656 9.65 7.5 1.2 56.25 421.875 3164.063 23730.47 177978.516 96 10 0.8 100 1000 10000 100000 1000000 87 12.5 0.6 156.25 1953.125 24414.06 305175.8 3814697.27 7.58 15 0.4 225 3375 50625 759375 11390625 6
9 17.5 0.3 306.25 5359.375 93789.06 1641309 28722900 5.25
10 20 0.3 400 8000 160000 3200000 64000000 6
∑ 99.5 15.6 1323.25 20508.88 344102 6041114 109170565 85.75
10 99.5 1323.25 20508.88 15.6
99.5 1323.25 20508.88 344102.31 = 85.75
1323.25 20508.875 344102.31 6041113.72 723.625
20508.875 344102.313 6041113.72 109170564.6 8655.4375
metode eliminasi gauss jordan
1 9.950 132.32500 2050.888 1.56
0 333.225 7342.53750 140039.006 = -69.47
0 7342.538 169003.26 3327276.834 -1340.645
0 140039.006 3327276.83 67109169.202 -23338.408
1 0 -86.92100 -2130.63583 3.63435366
0 1 22.03477 420.25360 = -0.2084778
0 0 7212.10331 241549.00827 190.110736
0 0 241549.01 8257272.5207 5856.61017
1 0 0 780.53727 5.9255875
0 1 0 -317.73884 = -0.7893135
0 0 1 33.49217 0.02635996
0 0 0 167271.463 -510.61139
1 0 0 0 8.30824871
0 1 0 0 = -1.7592403
0 0 1 0 0.12859787
xi2 xi3 xi4 xi5 xi6
a0
a1
a2
a3
a0
a1
a2
a3
a0
a1
a2
a3
a0
a1
a2
a3
a0
a1
a2
0 0 0 1 -0.0030526
maka diperoleh :
= 8.30825
= -1.75924
= 0.12860
= -0.00305
persamaan kurva diperoleh :
y=
Maka Kurva dari soal diatas dapat di gambarkan sebagai berikut :
x y-3 14.82572-2 12.36553-1 10.199140 8.308251 6.674562 5.279773 4.105584 3.133695 2.34586 1.723617 1.248828 0.903139 0.66824
10 0.5258511 0.4576612 0.4453713 0.4706814 0.5152915 0.560916 0.5892117 0.5819218 0.5207319 0.3873420 0.1634521 -0.1692422 -0.6290323 -1.23422
a3
a0
a1
a2
a3
8,30825 - 1,75924x + 0,12860 x2 - 0,00305x3
-5 0 5 10 15 20 25
-4
-2
0
2
4
6
8
10
12
14
16
Polynominal a0 + a1x1 + a2x2 + a3x3
Data
y=a0 + a1x1 + a2x2 + a3x3
x
y
31.25 78.12541.65 145.775
50 25057.6 345.667.5 506.2580 800
93.75 1171.87590 1350
91.875 1607.813
120 2400
723.625 8655.438
xi2.yi xi3.yi
-5 0 5 10 15 20 25
-4
-2
0
2
4
6
8
10
12
14
16
Polynominal a0 + a1x1 + a2x2 + a3x3
Data
y=a0 + a1x1 + a2x2 + a3x3
x
y
TUGAS 3 METODE NUMERIK DAN KOMPUTASI
NAMA: ZELVIA ZAHARA RNPM: 148110018
Diketahui data uji baja sebagai berikut:
Load (KN) Strain (mm/mm)0 16.593 0.0002181 22.777 0.0002932 34.365 0.0004443 40.479 0.0005214 45.844 0.000592
Tentukan regangan baja pada saan beban = 28,821 KN
Penyelesaian :Interpolasi Lagrange berderajat 4
p (x) = Y0 (x-x1)(x-x2)(x-x3)(x-x4) + Y1 (x-x0)(x-x2)(x-x3)(x-x4)(x0-x1)(x0-x2)(x0-x3)(x0-X4) (x1-x0)(x1-x2)(x1-x3)(x1-X4)
+ Y2 + Y3 (x-x0)(x-x1)(x-x2)(x-x4)(x2-x0)(x2-x1)(x2-x3)(x2-X4) (x3-x0)(x3-x1)(x3-x2)(x3-x4)
+ Y4 (x-x0)(x-x1)(x-x2)(x-x3)(x4-x0)(x4-x1)(x4-x2)(x4-x3)
p (x) = (0,000218) (x-22,777)(x-34,365)(x-40,479)(x-45,844)
+(0,000293) (x-16,593)(x-34,365)(x-40,479)(x-45,844)
(16,593-22,777)(16,593-34,365)(16,593-40,479)(16,593-45,844) (22,777-16,593)(22,777-34,365)(22,777-40,479)(22,777-45,844)
+(0,000444) (x-16,593)(x-22,777)(x-40,479)(x-45,844)
+(0,000521) (x-16,593)(x-22,777)(x-34,365)(x-45,844)
(34,365-16,593)(34,365-22,777)(34,365-40,479)(34,365-45,844) (40,479-16,593)(40,479-22,777)(40,479-34,365)(40,479-45,844)
+(0,000592) (x-16,593)(x-22,777)(x-34,365)(x-40,479)
(45,844-16,593)(45,844-22,777)(45,844-34,365)(45,844-40,479)
P(x)= 0.000218-6649.78842100742 + 0.000293
-13453.6090026603 +76787.3944372625 -29261.1519561905
0.00044414666.9575779363 + 0.000521
6974.91960988839 +14453.5417531652 -13869.5038378549
0.0005924776.6911127344641553.3092040302
P(x)= -1.8879E-05 + 1.3471E-04 + 4.5056E-04 + -2.6201E-04 + 6.8052E-05
P(28,821)= 0.000372
(x-x0)(x-x1)(x-x3)(x-x4)