代码搜索:Approximation

找到约 1,542 项符合「Approximation」的源代码

代码结果 1,542
www.eeworm.com/read/362246/10010221

m~ greedyappx.m~

function [sel_inx,Alpha,Z,kercnt,MsErr,MaxErr]=... greedyappx(X,ker,arg,m,p,mserr,maxerr,verb) % GREEDYAPPX Kernel greedy data approximation. % % Synopsis: % [Sel_inx,Alpha,Z,Kercnt,MsErrors,MaxEr
www.eeworm.com/read/362246/10010237

m greedyappx.m

function [sel_inx,Alpha,Z,kercnt,MsErr,MaxErr]=... greedyappx(X,ker,arg,m,p,mserr,maxerr,verb) % GREEDYAPPX Kernel greedy data approximation. % % Synopsis: % [Sel_inx,Alpha,Z,Kercnt,MsErrors,MaxEr
www.eeworm.com/read/423357/10568889

m mie_1.m

function result = Mie_1(m, x) % Rayleigh Approximation of Mie Efficiencies for given % complex refractive-index ratio m=m'+im" % and size parameter x=k0*a, k0= wave number in ambient medium,
www.eeworm.com/read/419697/10842981

c alg083.c

/* * FAST FOURIER TRANSFORM ALGORITHM 8.3 * * To compute the coefficients in the discrete approximation * for the data (x(J),y(J)), 0
www.eeworm.com/read/458010/7314275

m maxgauss.m

function [u,v,p,r] = maxgauss(m,c,d) %MAXGAUSS determine gaussian approximation to max of a gaussian vector [p,u,v,r]=(m,c,d) % % Inputs: % m(N,1) is the mean vector of length N % c(N
www.eeworm.com/read/448350/7534500

m maxgauss.m

function [u,v,p,r] = maxgauss(m,c,d) %MAXGAUSS determine gaussian approximation to max of a gaussian vector [p,u,v,r]=(m,c,d) % % Inputs: % m(N,1) is the mean vector of length N % c(N
www.eeworm.com/read/440750/7682258

m maxgauss.m

function [u,v,p,r] = maxgauss(m,c,d) %MAXGAUSS determine gaussian approximation to max of a gaussian vector [p,u,v,r]=(m,c,d) % % Inputs: % m(N,1) is the mean vector of length N % c(N
www.eeworm.com/read/245849/12777990

m list_of_seismic_functions.m

function list=list_of_seismic_functions list={ ... 0,6.5,'add_header','Add one or more headers to a seismic or a pseudo-well dataset.'; 0,6.1,'ava_approximation','Compute approximate amplitude vs a
www.eeworm.com/read/140698/13066576

c alg083.c

/* * FAST FOURIER TRANSFORM ALGORITHM 8.3 * * To compute the coefficients in the discrete approximation * for the data (x(J),y(J)), 0
www.eeworm.com/read/312163/13617494

m~ greedyappx.m~

function [sel_inx,Alpha,Z,kercnt,MsErr,MaxErr]=... greedyappx(X,ker,arg,m,p,mserr,maxerr,verb) % GREEDYAPPX Kernel greedy data approximation. % % Synopsis: % [Sel_inx,Alpha,Z,Kercnt,MsErrors,MaxEr