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/410134/11301088

m mgtls2x.m

function m = mgtlsx(d,wl,wr,x) % MGTLS2X - Global Total Least Squares misfit computation. % [M,DH] = MGTLS2X(D,WL,WR,X) gives the GTLS2 misfit M and the % GTLS2 approximation DH of the data D by the
www.eeworm.com/read/253950/12174094

htm evidence.htm

Netlab Reference Manual evidence evidence Purpose Re-estimate hyperparameters using evidence approximation. Synopsis
www.eeworm.com/read/150905/12250255

htm evidence.htm

Netlab Reference Manual evidence evidence Purpose Re-estimate hyperparameters using evidence approximation. Synopsis
www.eeworm.com/read/283059/9044830

m improvednewton.m

%f(x)= 10*x.^3+80*x.^2+6*x+a0时, [improvednewton1.m] function sa = improvednewton1(x0,epsilon,max) % IMPROVEDNEWTON1 calculate the improvednewton method approximation % x0 is the initial value %
www.eeworm.com/read/278321/10546853

defines

$Id: DEFINES,v 1.23 2003/02/07 18:17:41 bouvigne Exp $ USE_FAST_LOG: - use of log/log10 approximation (uses IEEE754 float format) (absolute precision of log10 is then around 1e-6) KLEMM_36: - p
www.eeworm.com/read/212797/6962556

m vtb3_5.m

function [ap,bp]=vtb3_5(a0,a,b,N,T) %VTB3_5 Plot Fourier Series Approximation of Function. % VTB3_5(a0,a,b,N,T) Plot the Fourier series defined by: % N is the number of terms. Other arguments as de
www.eeworm.com/read/248077/4471055

m p7_12.m

% P7_12.M Plot the Legendre approximation to an odd function % f(x)= signum(x) [-1 1] % % The Legendre series is % fapprox(x)= (3/2)P1 - (7/8) P3 = (45/16)x - (35/16) x^3 % x=[-1:.01:1]; p=[(-35
www.eeworm.com/read/283060/9044824

m improvednewton2.m

%当f(x)= (10*x.^3+80*x.^2+6*x+a0)*(x-p*)时 [improvednewton2.m] function sa = improvednewton2(x0,epsilon,max) % IMPROVEDNEWTON calculate the improvednewton method approximation % x0 is the initial va
www.eeworm.com/read/167045/9983335

m integral_op.m

function Ku = integral_op(u,k_hat) % % Ku = integral_op(u,k_hat) % % Use 2-D FFT's to evaluate discrete approximation to the % 2-D convolution integral % % Ku(x,y) = \int \int k(x-x',y-y') u(
www.eeworm.com/read/283058/9044836

m newton2.m

%当f(x)= (10*x.^3+80*x.^2+6*x+a0)*(x-p*)时 [newton2.m] function sa = newton2(x0,epsilon,max) % NEWTON calculate the newton method approximation % x0 is the initial value % epsilon is the toleran