ode4.txt

Matlab中的四阶龙格库塔法m文件。

function Y = ode4(odefun,tspan,y0,varargin)
%ODE4 Solve differential equations with a non-adaptive method of order 4.
% Y = ODE4(ODEFUN,TSPAN,Y0) with TSPAN = [T1, T2, T3, ... TN] integrates 
% the system of differential equations y' = f(t,y) by stepping from T0 to 
% T1 to TN. Function ODEFUN(T,Y) must return f(t,y) in a column vector.
% The vector Y0 is the initial conditions at T0. Each row in the solution 
% array Y corresponds to a time specified in TSPAN.
%
% Y = ODE4(ODEFUN,TSPAN,Y0,P1,P2...) passes the additional parameters 
% P1,P2... to the derivative function as ODEFUN(T,Y,P1,P2...). 
%
% This is a non-adaptive solver. The step sequence is determined by TSPAN
% but the derivative function ODEFUN is evaluated multiple times per step.
% The solver implements the classical Runge-Kutta method of order 4. 
%
% Example 
% tspan = 0:0.1:20;
% y = ode4(@vdp1,tspan,[2 0]); 
% plot(tspan,y(:,1));
% solves the system y' = vdp1(t,y) with a constant step size of 0.1, 
% and plots the first component of the solution. 
%

if ~isnumeric(tspan)
error('TSPAN should be a vector of integration steps.');
end

if ~isnumeric(y0)
error('Y0 should be a vector of initial conditions.');
end

h = diff(tspan);
if any(sign(h(1))*h <= 0)
error('Entries of TSPAN are not in order.') 
end 

try
f0 = feval(odefun,tspan(1),y0,varargin{:});
catch
msg = ['Unable to evaluate the ODEFUN at t0,y0. ',lasterr];
error(msg); 
end 

y0 = y0(:); % Make a column vector.
if ~isequal(size(y0),size(f0))
error('Inconsistent sizes of Y0 and f(t0,y0).');
end 

neq = length(y0);
N = length(tspan);
Y = zeros(neq,N);
F = zeros(neq,4);

Y(:,1) = y0;
for i = 2:N
ti = tspan(i-1);
hi = h(i-1);
yi = Y(:,i-1);
F(:,1) = feval(odefun,ti,yi,varargin{:});
F(:,2) = feval(odefun,ti+0.5*hi,yi+0.5*hi*F(:,1),varargin{:});
F(:,3) = feval(odefun,ti+0.5*hi,yi+0.5*hi*F(:,2),varargin{:}); 
F(:,4) = feval(odefun,tspan(i),yi+hi*F(:,3),varargin{:});
Y(:,i) = yi + (hi/6)*(F(:,1) + 2*F(:,2) + 2*F(:,3) + F(:,4));
end
Y = Y.';