Эйлер усули
Берилган [x0,b] кесмани n та тенг бўлакка бўлиб бўлиниш нуқталари орасидаги қадам
h=(b-x0)/n (9.3)
бўлганда, бу нуқталар координаталари
xi=xi-1+ h, i=1, 2, ….n (9.4)
бўлади. Бошланғич шартдаги x0 ва y0 лардан фойдаланиб тенглама ечимининг қийматларини тақрибан қуйидагича ҳисоблаймиз.
y1=y0+hf (x0,y0)
y2=y1+hf (x1,y1)
y3=y2+hf (x2,y2) (9.5)
- - - - - - - - -
yn=yn-1+hf (x n-1,y n-1)
натижада изланаётган ечимни қаноатлантирувчи
(x0;y0), (x1;y1), (x2;y2), ……, (xn;yn)
нуқталарни аниқлаймиз. Бу нуқталарни туташтирувчи синик чизиқ Эйлер чизиғи деб аталади ва у тенглама ечимининг тақрибий графигини ифодалайди.
9.1-масала. Қуйидаги.
биринчи тартибли дифференциал тенгламанинг ![](data:image/png;base64,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)
x0=1.8 y0=2.6
бошланғич шартни қаноатлантирувчи [1.8, 2.8] оралиқда ечимини h=0.1 қадами билан, e=0.001 аниқликда:
Эйлер усули;
Ечиш.
1. Берилган дифференциал тенгламани Эйлер усулида йечамиз.
Бунинг учун [1.8, 2.8] оралиқни
яъни, n=10 та бўлакка ажратамиз. Бўлиниш нуқталарини:
xi=xi-1+h, i=1,2,...,10
формулага асосан топамиз.
x1=x0+h=1.8+0.1=1.9
x2=x1+h=1.9+0.1=2.0
шунингдек
x3=2.1, x4=2.2, x5=2.3, x6=2.4, x7=2.5, x8=2.6, x9=2.7, x10=2.8
Берилган тенгламанинг ўнг томонидаги
F(x;y)=x+cos(y/)
функцияга асосан, Эйлер қоидаси билан қуйидаги
yi+1=yi+ h f(xi;yi), i=1,2,...,10
формулага асосан берилган дифференциал тенглама ечимининг қийматларини қуйидагича топамиз.
y1=y0+hf (x0, y0)=y0+h (x0+cos(y0/))=
=2.6+ 0.1(1.8+cos(26/))=2.6+0.1(18+0.3968)=2.81968
y2=y1+h f (x1,y1)=y1+h(x1+cos(y1/))=
=2.819+ 0.1(1.9+cos(9.819/))=2.819+0.1(1.9+0.3968)=3.03948
Шунингдек, қуйидагиларни топамиз:
y3=3.261, y4=3.4831, y5=3.7045, y6=3.926
y7=4.1478, y8=4.3701, y9=4.5931, y10=4.8173
Бу усул ёрдамида ҳисоблаш қуйидагича дастур асосида берилган.
#include
using namespace std;
float x, y, h, b, EPS;
int i, n;
float funk(float x1, float y1)
{
return (x1+cos(y1/sqrt(5)));
}
int main()
{
cout << " x = " ;
cin >> x;
cout << " y = " ;
cin >> y;
cout << " h = " ;
cin >> h;
cout << " b = ";
cin >> b;
n = ceil((b-x)/h);
for(int i = 1; i <= n; ++i)
{
y = y + h * funk(x,y);
x = x + h;
cout << "x ("<< i << ") = " << x << "\n";
cout << "y ("<< i << ") = " << y << "\n";
}
}
Do'stlaringiz bilan baham: |