代码搜索:插值算法

找到约 10,000 项符合「插值算法」的源代码

代码结果 10,000
www.eeworm.com/read/130875/5950053

scc mssccprj.scc

[SCC] SCC=This is a source code control file [曲线_插值V.vbp] SCC_Project_Name=this project is not under source code control SCC_Aux_Path=
www.eeworm.com/read/152152/12135408

scc mssccprj.scc

[SCC] SCC=This is a source code control file [曲线_插值V.vbp] SCC_Project_Name=this project is not under source code control SCC_Aux_Path=
www.eeworm.com/read/164520/5489700

scc mssccprj.scc

[SCC] SCC=This is a source code control file [曲线_插值V.vbp] SCC_Project_Name=this project is not under source code control SCC_Aux_Path=
www.eeworm.com/read/237820/13927612

cpp 试验一.cpp

#include float LAGR () { float a=0,b,t,x,X[20],Y[20]; int i,j,n; printf("请输入未知数x的值: "); scanf("%f",&x); printf("请输入插值点个数n的值(n
www.eeworm.com/read/426535/9014869

m ex1607.m

%例16-7 griddata在二维插值中的应用 x = rand(100,1)*4-2; %产生100个[-2 2]的均匀分布数据 y = rand(100,1)*4-2; z = x.*exp(-x.^2-y.^2); ti = -2:.25:2; [XI,YI] = meshgrid(ti,ti); %产生精细的插值栅格点 ZI = griddata(x,y,z,XI,YI
www.eeworm.com/read/426535/9015293

m ex1801.m

%例18-1:产生一条正弦曲线,然后用三次样条插值进行拟合,并对比拟合结合和原数据。 x = 0:10 y = sin(x); xx = 0:.25:10; yy = spline(x,y,xx); %三次样条插值 plot(x,y,'o',xx,yy) %将实际曲线与样条断点在同一图上显示 %... pp = spline(x,y); pp %... [breaks,c
www.eeworm.com/read/451691/7458119

m lagranl.m

function [C,L,L1,l]=lagranl(X,Y) %L为拉格朗日插值多项式; %C为拉格朗日插值多项式的系数向量; %X为节点的横坐标向量; %Y为节点的纵坐标向量; %L1为基函数的系数矩阵; m=length(X);L=ones(m,m); for k=1:m V=1; for i=1:m if k~=i
www.eeworm.com/read/451691/7458136

m lagranl.m

function [C,L,L1,l]=lagranl(X,Y) %L为拉格朗日插值多项式; %C为拉格朗日插值多项式的系数向量; %X为节点的横坐标向量; %Y为节点的纵坐标向量; %L1为基函数的系数矩阵; m=length(X);L=ones(m,m); for k=1:m V=1; for i=1:m if k~=i
www.eeworm.com/read/451691/7458138

m lagranl.m

function [C,L,L1,l]=lagranl(X,Y) %L为拉格朗日插值多项式; %C为拉格朗日插值多项式的系数向量; %X为节点的横坐标向量; %Y为节点的纵坐标向量; %L1为基函数的系数矩阵; m=length(X);L=ones(m,m); for k=1:m V=1; for i=1:m if k~=i
www.eeworm.com/read/319404/13452364

m ex1607.m

%例16-7 griddata在二维插值中的应用 x = rand(100,1)*4-2; %产生100个[-2 2]的均匀分布数据 y = rand(100,1)*4-2; z = x.*exp(-x.^2-y.^2); ti = -2:.25:2; [XI,YI] = meshgrid(ti,ti); %产生精细的插值栅格点 ZI = griddata(x,y,z,XI,YI