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www.eeworm.com/read/140697/13067101
m alg104.m
% CONTINUATION METHOD FOR SYSTEMS ALGORITHM 10.4
%
% To approximate the solution of the nonlinear system F(X)=0 given
% an initial approximation X:
%
% INPUT: Number n of equations and unknowns
www.eeworm.com/read/140697/13067102
m alg123.m
% CRANK-NICOLSON ALGORITHM 12.3
%
% To approximate the solution of the parabolic partial-differential
% equation subject to the boundary conditions
% u(0,t) = u(l,t) = 0, 0 < t < T = ma
www.eeworm.com/read/140697/13067107
m alg034.m
% NATURAL CUBIC SPLINE ALGORITHM 3.4 %
% To construct the cubic spline interpolant S for the function f,
% defined at the numbers x(0) < x(1) < ... < x(n), sat
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m alg082.m
% CHEBYSHEV RATIONAL APPROXIMATION ALGORITHM 8.2
%
% To obtain the rational approximation
%
% rT(x) = (p0*T0 + p1*T1 +...+ pn*Tn) / (q0*T0 + q1*T1 +...+ qm*Tm)
%
% for a given function f(x):
%
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m alg124.m
% WAVE EQUATION FINITE-DIFFERENCE ALGORITHM 12.4
%
% To approximate the solution to the wave equation:
% subject to the boundary conditions
% u(0,t) = u(l,t) = 0, 0 < t < T = max t
%
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m alg057.m
% RUNGE-KUTTA FOR SYSTEMS OF DIFFERENTIAL EQUATIONS ALGORITHM 5.7
%
% TO APPROXIMATE THE SOLUTION OF THE MTH-ORDER SYSTEM OF FIRST-
% ORDER INITIAL-VALUE PROBLEMS
% UJ' = FJ( T, U1, U2,
www.eeworm.com/read/140442/13080242
c apriori.c
/*----------------------------------------------------------------------
File : apriori.c
Contents: apriori algorithm for finding association rules
Author : Christian Borgelt
History : 14.
www.eeworm.com/read/326914/13109973
c apriori.c
/*----------------------------------------------------------------------
File : apriori.c
Contents: apriori algorithm for finding association rules
Author : Christian Borgelt
History : 199
www.eeworm.com/read/241836/13113618
m adjxy.m
%坐标改正数以及单位权中误差的计算
function [uw0,k]=adjxy(fit2)
global ed dd dd1 ni si e d g f s t pn x y
global m1 m2 m3 ms md ma x0 y0 sid dir az c
global a ql pa3 qls w
sd=ed+dd;
n=2*dd;
k=0;
for i=1:n
www.eeworm.com/read/241836/13113930
m adjxy.m
%坐标改正数以及单位权中误差的计算
function [uw0,k]=adjxy(fit2)
global ed dd dd1 ni si e d g f s t pn x y
global m1 m2 m3 ms md ma x0 y0 sid dir az c
global a ql pa3 qls w
sd=ed+dd;
n=2*dd;
k=0;
for i=1:n