代码搜索:Integration
找到约 3,762 项符合「Integration」的源代码
代码结果 3,762
www.eeworm.com/read/227731/14414690
txt readme1st.txt
README FIRST for XFFT16
16-point, 16-bit Complex FFT
Contains:
xfft16ngo.zip: NGO files for FFT implementation with instructions
for Foundation schem
www.eeworm.com/read/123211/14642396
m quadndg.m
function int = quadndg(fun,xlow,xhigh,tol)
%usage: int = quadndg('Fun',xlow,xhigh)
%or
% int = quadndg('Fun',xlow,xhigh,tol)
%
%This function is similar to QUAD or QUAD8 for n-dimensional inte
www.eeworm.com/read/123211/14642416
m cquadnd.m
function nvol = cquadnd (fun,lowerlim,upperlim,nquad)
%usage: nvol = cquadnd (fun,lowerlim,upperlim,nquad);
% n -- number of dimensions to integrate
% nvol -- value of the n-dimensional integral
% fu
www.eeworm.com/read/123211/14642421
m gquadnd.m
function nvol = gquadnd (fun,lowerlim,upperlim,nquad)
%usage: nvol = gquadnd (fun,lowerlim,upperlim,nquad);
% n -- number of dimensions to integrate
% nvol -- value of the n-dimensional integral
% fu
www.eeworm.com/read/121690/14741756
todo
TODO ASAP:
~ Implement "cancel" functionality for build tools.
*** DONE *** ~ Create a way to "jump" to a specific line # in a file.
~ Implement "Find".
*** DONE *** ~ Add file nav shortcuts Ctr
www.eeworm.com/read/119790/14821359
htm connect the enterprise with the jca, part 1.htm
Connect the enterpris
www.eeworm.com/read/117859/14901868
m integ2d.m
function som=integ2d(mat,x,y);
%INTEG2D Approximate 2-D integral.
% SOM=INTEG2D(MAT,X,Y) approximates the 2-D integral of
% matrix MAT according to abscissa X and ordinate Y.
%
% MAT : MxN matrix to
www.eeworm.com/read/117323/14930929
changes
Changes 2.8.12
--------------
From: Tobi + Hoorelbeke Rik
- make -M and -r work in indexmaker
From: Levente Nagy
- hungarian translation
From: Peter G
www.eeworm.com/read/215709/15051725
m integ2d.m
function som=integ2d(mat,x,y);
%INTEG2D Approximate 2-D integral.
% SOM=INTEG2D(MAT,X,Y) approximates the 2-D integral of
% matrix MAT according to abscissa X and ordinate Y.
%
% MAT : MxN matrix to
www.eeworm.com/read/212047/15167911
authors
Mark Galassi (rosalia@lanl.gov) - overall design, simulated annealing
Jim Davies (jimmyd@nis.lanl.gov) - statistics library
James Theiler (jt@nis.lanl.gov) - random number generators
Brian Gough (bjg@