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找到约 4,523 项符合「Mathworks」的源代码
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www.eeworm.com/read/107177/15612104
m lorenzeq.m
function ydot = lorenzeq(t,y)
%LORENZEQ Equation of the Lorenz chaotic attractor.
% ydot = lorenzeq(t,y).
% The differential equation is written in almost linear form.
% Copyright (c) 1984-94 by The
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txt readme.txt
The scripts available at this site accompany the book
"Industrial Mathematics"
by Charles R. MacCluer.
COPYRIGHT 2000, Prentice Hall, I
www.eeworm.com/read/101557/15826469
m obsv.m
function ob = obsv(a,c)
%OBSV Form observability matrix.
% OBSV(A,C) returns the observability matrix.
% Ob = [C; CA; CA^2 ...]
%
% See also: OBSVF.
% Copyright (c) 1986-93 by the MathWorks, I
www.eeworm.com/read/101557/15826524
m ctrb.m
function co = ctrb(a,b)
%CTRB Form controllability matrix.
% CTRB(A,B) returns the controllability matrix
% Co = [B AB A^2B ...]
%
% See also: CTRBF.
% Copyright (c) 1986-93 by the MathWorks,
www.eeworm.com/read/101557/15826719
m linedir.m
function direct = linedir(layout);
%LINEDIR finds the direction of a line segment
% layout = [x1,y1; x2.y2;...]
% direct = 0>, 1v, 2
www.eeworm.com/read/101557/15826749
m readme.m
% README file for the SIMULINK 1.3a Toolbox
% 19-July-94
%
% For description of the new features in Simulink 1.3b see the Simulink
% Release Notes.
% Copyright (c) 1990-94 by The MathWorks, In
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m closebut.m
function closebut(fh)
%CLOSEBUT close all figures and SIMULINK blocks diagrams except the figure
% with the given handle fh. This function is specially useful in the
% uitools in contro
www.eeworm.com/read/101557/15827193
m isprime.m
function isp = isprime(X)
%ISPRIME True for prime numbers.
% ISPRIME(X) is 1 for the elements of X which are prime, 0 otherwise.
%
% See also PRIMES.
% Wes Wang 10/10/95
%
www.eeworm.com/read/390840/8437996
m nndalay2.m
function yprime = nndalay2(t,y)
%NNDALAY2 Calculates the derivative for layer 2 of the Grossberg network
%
% NNDALAY2(t,y)
% t - Current time
% y - Current output
% Returns dy.
% $Rev
www.eeworm.com/read/390840/8438013
m nndpend.m
function yprime = nndpend(t,y)
%NNDPEND Dynamical model of a pendulum.
%
% NNDPEND(T,Y)
% T - Time
% Y - State = [angle; angular velocity]
% Returns Derivative of state vector.
% $