Spline to optimize the curve

조회 수: 10(최근 30일)
mohammed alany
mohammed alany 2019년 3월 25일
댓글: mohammed alany 2019년 3월 31일
if i have the points bellow, and i would like to optimize the line connected each two points? i.e. to make it smothely.
who i can do it using "Spline" or any other code??the important thing is at the end the line must optomize and Passing all these point
6x2 double
[ 2.0000 2.0000
2.2703 1.6902
4.7244 7.6318
12.0984 9.1030
12.0000 10.0000 ]
  댓글 수: 1
John D'Errico
John D'Errico 2019년 3월 31일
Don't answer your question with a response to another answer, and then accept your own non-answer.

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채택된 답변

KSSV
KSSV 2019년 3월 25일
c = [ 2.0000 2.0000
2.2703 1.6902
4.7244 7.6318
12.0984 9.1030
12.0000 10.0000 ] ;
x = c(:,1) ;
y = c(:,2) ;
xi = min(x):0.1:max(x) ;
yi = spline(x,y,xi) ;
plot(x,y,'*r')
hold on
plot(xi,yi)

추가 답변(1개)

John D'Errico
John D'Errico 2019년 3월 31일
편집: John D'Errico 2019년 3월 31일
It seems you want to interpolate these points, doing so smoothly, yet not going outside the data.
xy = [ 2.0000 2.0000
2.2703 1.6902
4.7244 7.6318
12.0984 9.1030
12.0000 10.0000 ] ;
x = xy(:,1) ;
y = xy(:,2) ;
You can download my interparc from the file exchange.
xyi = interparc(100,x,y,'pchip');
plot(x,y,'bo',xyi(:,1),xyi(:,2),'r-')
Find interparc on the file exchange:
Or, possibly, your goal is a smoothed approximation.
slm = slmengine(x,y,'plot','on','knots',3,'increasing','on');
Find slmengine in my SLM toolbox. Also on the FEX.
  댓글 수: 1
mohammed alany
mohammed alany 2019년 3월 31일
thanks dear

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