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/490252/6306626
m sov_t.m
function T=SOV_T(HL,nL,t1L)
%计算各插值点的时间
for i=1:nL;
if i==1;
T(i)=t1L;
else
T(i)=T(i-1)+HL(i-1);
end;
end;
www.eeworm.com/read/409266/11338379
dat readme.dat
本程序使用C网格，格心格式，对流通量的计算采用最基本的 AUSM格式，与教材中一致，未采用AUSM改进格式，界面左右变量的插值采用守恒变量，为了改进收敛速度，limiter的使用与教材有所不同，但该limiter好象会使激波后的梯度变小，边界处采用两层虚拟网格，虚拟单元中：远场取来流值，物面采用对称处理，cut line处直接把相对应的单元值传递过去 ...
www.eeworm.com/read/345494/11812658
m ex1602.m
%例16-2 其他几种方法对sin函数进行插值
x = 0:10;
y = sin(x);
xi = 0:.25:10;
yi=sin(xi);
y1=interp1(x,y,xi,'nearest');
y2=interp1(x,y,xi,'spline');
y3=interp1(x,y,xi,'cubic');
grid on
plot(x,y,'o',xi,yi,xi,y
www.eeworm.com/read/152152/12135416
÷
Type=Exe
Reference=*\G{00020430-0000-0000-C000-000000000046}#2.0#0#C:\WINNT\System32\stdole2.tlb#OLE Automation
Module=modParameter; 曲线_插值M1.bas
Form=曲线_插值F2.frm
Object={65E121D4-0C60-11D2-A9FC-00
www.eeworm.com/read/151751/12177171
m 12-9.m
I = imread('ic.tif');
J = imresize(I,1.25);
%使用默认最近邻插值法放大图像1.25倍
imshow(I)
figure, imshow(J)
www.eeworm.com/read/148879/12417552
m 12-9.m
I = imread('ic.tif');
J = imresize(I,1.25);
%使用默认最近邻插值法放大图像1.25倍
imshow(I)
figure, imshow(J)
www.eeworm.com/read/250108/12433384
m f1.m
x=[-5:1:5];
y=1./(1+x.^2);
%u = -4.5:0.5:4.5;
%v = polyinterp(x,y,u);
%plot(x,y,'o',u,v,'-');
plot(x,y,'-');
x0=[-5:0.1:5];
y0=lagrange(x,y,x0);
y1=1./(1+x0.^2);
%plot(x0,y0,'o',u,v,'--r')
www.eeworm.com/read/249868/12465027
m 12-9.m
I = imread('ic.tif');
J = imresize(I,1.25);
%使用默认最近邻插值法放大图像1.25倍
imshow(I)
figure, imshow(J)
www.eeworm.com/read/127242/14366476
m 12-9.m
I = imread('ic.tif');
J = imresize(I,1.25);
%使用默认最近邻插值法放大图像1.25倍
imshow(I)
figure, imshow(J)
www.eeworm.com/read/215106/15075054
txt newtonofsmatlabuse.txt
牛顿插值法的matlab实现
function a=new(c,k)
[x,y]=size(c);
b=zeros(x,2+k);
for i=1:x
for j=1:2
b(i,j)=c(i,j);
end
end
for j=3:2+k
for i=j-1:x
b(i,j)=(b(i,j-1)-b(i-1,j-1))/(b(i,1)-b(i-j+2,1));
end