Δyi - табу үшін C2 ұяшығына =B3-B2 осы формуланы жазып, enter батырмасын басыңыз. Шыққан нәтижені соңына дейін тартыңыз.
Δ2yi- табу үшін D2 ұяшығына =C3-C2 осы формуланы жазып, enter батырмасын басыңыз. Шыққан нәтижені соңына дейін тартыңыз.
Δ3yi- табу үшін E2 ұяшығына =D3-D2 осы формуланы жазып, enter батырмасын басыңыз. Шыққан нәтижені соңына дейін тартыңыз.
Δ4yi- табу үшін F2 ұяшығына =E3-E2 осы формуланы жазып, enter батырмасын басыңыз. Шыққан нәтижені соңына дейін тартыңыз.
a-b- табу үшін B14 ұяшығына =B13-B12 осы формуланы жазып, enter батырмасын басыңыз.
R- табу үшін B15 ұяшығына =B14*F5/180 осы формуланы жазып, enter батырмасын басыңыз
Практикалық жұмыс №13
Тақырыбы: Ньютон, Гаусс, Стирлинг және Бессель интерполяциондық формулалары бойынша кестедегі берілген функция аргументінің сәйкес мәндерінің I және II ретті туындыларын табу.
Мақсаты: Ньютон, Гаусс, Стирлинг және Бессель интерполяциондық формулаларын қолданып туындыларын тауып үйрену.
X жәнеY(x) ұяшықтарын сәйкес толтырыңыз.
C2 ұяшығына =B3-B2 формуласын енгізіңіз.
C2:C8 автотолтыру жасаңыз.
D2 ұяшығына =C3-C2 формуласын енгізіңіз.
D2:D7 автотолтыру жасаңыз.
E2 ұяшығына =D3-D2 формуласын енгізіңіз.
E2:E6 автотолтыру жасаңыз.
Microsoft Excel программасынан қарау
X=1.2; x0=1,2 дейік; онда t=(x-x0)/h=(1.2-1.2)/0.4=0. Формуламен есептеу үшін
y’(x0) »1/h(Dy0-1/2*D2y0+1/3*D3y0+…),
y’’(x0) »1/h2(D2y0-D3y0+…),
Ньютонның I интерполяциялық формуласын қолданамыз.
y’(1.2)»1/0.4*(0.992+1/2*0.129-1/3*0.032)=2.5*(0.992+0.0645-0.0107)=2.614;
y’’(1.2) »(1/0.42)*(-0.129+0.032)=0.606 табамыз.
X=2.23; x0=2,0 дейік; онда t=(2,23-2,0)/0,4=0,575. Формуламен есептеу үшін
y’(x) »1/h(Dy0+((2*t-1)*(D2y-1+D2y0))/(2*2)+((3*t2-3*t+1/2)*D3y-1/6)+…),
y’’(x) »1/h2((D2y-1+D2y0)/2)+(2*t-1)*D3y-1/2+…),
Бессель формуласын қолданамыз.
y’(2.23)»1/0.4*(0.702+(1.15-1)/2*(-0.161-0.195)/2+(0.992-1.725+0.5)/6*(-0.034)= =2.5(0.702-0.0134+0.0013)=1.725.
y’’(2.23)»1/0.42*((-0.161-0.195)/2+(1.15-1)/2*(0.0034))= 6.25(-0.178-0.0026)=-1.129.
X=2.76; x0=2.8 дейік, онда t=(2.76-2.8)/0.4=-0.1. Стирлинг формуласынан шығатын ![](data:image/png;base64,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)
![](data:image/png;base64,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)
формуласымен қолданамыз.
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4) x=3.1; дейік, онда t=(3.1-2.8)/0.4=0.75. Гаусстың I формуласынан шығатын
формуласын қолданамыз.
Достарыңызбен бөлісу: |