代码搜索：插值优化
找到约 10,000 项符合「插值优化」的源代码
代码结果 10,000
www.eeworm.com/read/9561/170356
pdf 《匠人手记》01《分段线性插值法》.pdf
www.eeworm.com/read/467601/7005811
dat 计算值减实际值.dat
-100 -100 0.002102
-98 -100 0.002175
-96 -100 0.00225
-94 -100 0.002328
-92 -100 0.002409
-90 -100 0.002492
-88 -100 0.002578
-86 -100 0.002666
-84 -100 0.002758
-82 -100 0.002852
-80 -100 0
www.eeworm.com/read/467601/7005812
grd 计算值减实际值.grd
DSAA
101 201
-100 100
-100 100
-0.149438 0.021706000000002
0.002102 0.002175 0.00225 0.002328 0.002409 0.002492 0.002578 0.002666 0.002758 0.002852
0.00295 0.003049 0.003152 0.003257 0.003365 0
www.eeworm.com/read/409218/11340797
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三次样条插值程序演示。在SplineDemoView.cpp文件中的函数BOOL CSplineDemoView::ZSpline3()和函数double Spline3(double)是实现三次样条插值算法的核心函数。用VC6.0编译运行后，在窗口上由左至右点击鼠标左键设置一些点，然后点击鼠标右键即绘出穿过这些点的三次样条插值曲线。
www.eeworm.com/read/227455/14424316
pdf 优化建模与lindolingo优化软件.pdf
www.eeworm.com/read/165898/10047463
m interp1_example.m
%interp1_example.m
%用不同插值方法对一维数据进行插值，并比较其不同
x = 0:1.2:10;
y = sin(x);
xi = 0:0.1:10;
yi_nearest = interp1(x,y,xi,'nearset'); %最邻近插值
yi_linear = interp1(x,y,xi); %默认插值方法是线性插值
yi_sp
www.eeworm.com/read/274556/7127122
m e0458.m
x = 0:1; y1 = sin(x); y2=cos(x);xi = 0:.25:1;
yi1 = interp1(x,y1,xi),yi2= interp1(x,y2,xi) %线性插值方法
yi1 = interp1(x,y1,xi,'nearest'),yi2= interp1(x,y2,xi,'nearest') %最邻近插值
www.eeworm.com/read/433368/7937662
m e0458.m
x = 0:1; y1 = sin(x); y2=cos(x);xi = 0:.25:1;
yi1 = interp1(x,y1,xi),yi2= interp1(x,y2,xi) %线性插值方法
yi1 = interp1(x,y1,xi,'nearest'),yi2= interp1(x,y2,xi,'nearest') %最邻近插值
www.eeworm.com/read/308602/13699077
m e0458.m
x = 0:1; y1 = sin(x); y2=cos(x);xi = 0:.25:1;
yi1 = interp1(x,y1,xi),yi2= interp1(x,y2,xi) %线性插值方法
yi1 = interp1(x,y1,xi,'nearest'),yi2= interp1(x,y2,xi,'nearest') %最邻近插值