Code covered by the BSD License
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exam1
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exam1
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exam2
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exam2
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exam3
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exam3
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exam4
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exam4
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exam5
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exam5
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exam6
This is a demonstration problem for CTMS/BD in
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exam6
This is a demonstration problem for CTMS/BD in
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exam7
An example from C. Marriott and C. DeLisle, Effects
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exam7
An example from C. Marriott and C. DeLisle, Effects
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exam8
This is the suitcase problem from Suherman, et al.,
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exam8
This is the suitcase problem from Suherman, et al.,
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exer1
Example 1 of K.W. Neves, Automatic integration
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exer1
Example 1 of K.W. Neves, Automatic integration
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exer2
Example of J.D. Farmer, Chaotic Attractors of an
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exer2
Example of J.D. Farmer, Chaotic Attractors of an
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exer3
Wheldon's model of chronic granuloctic leukemia
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exer3
Wheldon's model of chronic granuloctic leukemia
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exer5
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exer5
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exer6
Sample problem of ARCHI manual. The absolute error
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exer6
Sample problem of ARCHI manual. The absolute error
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exer7
Marchuk immunology model of E. Hairer, S.P. Norsett, and
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exer7
Marchuk immunology model of E. Hairer, S.P. Norsett, and
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prob1
This system of ODE's is taken from 'An Introduction to Nuermcial Methods
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prob1
This system of ODE's is taken from 'An Introduction to Nuermcial Methods
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prob2
This problem considers a cardiovascular model, which can be found in
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prob2
This problem considers a cardiovascular model, which can be found in
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prob2b
This problem considers a cardiovascular model, which can be found in
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prob2b
This problem considers a cardiovascular model, which can be found in
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prob3
This problem is epidemic model due to Cooke, more information can be
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prob3
This problem is epidemic model due to Cooke, more information can be
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prob4
This problem is an epidemic model due to Cooke et alia, more information
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prob4
This problem is an epidemic model due to Cooke et alia, more information
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prob5
This problem population growth model due to Cooke et alia, more information
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prob5
This problem population growth model due to Cooke et alia, more information
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View all files
from
Tutorial on solving DDEs with DDE23
by Jacek Kierzenka
Solving delay differential equations with DDE23. Tutorial + Examples.
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| prob2
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function sol = prob2
% This problem considers a cardiovascular model, which can be found in
% 'Modelling of the Baroflex-Feedback Mechanism With Time-Delay' by J.T.
% Ottesen in J. Math. Biol., 36 (1997), 41-63. (This is reference
% 14 of the tutorial).
% Copyright 2004, The MathWorks, Inc.
% Problem parameters, visible in nested functions.
p.ca = 1.55;
p.cv = 519;
p.R = 1.05;
p.r = 0.068;
p.Vstr = 67.9;
p.alpha0 = 93;
p.alphas = 93;
p.alphap = 93;
p.alphaH = 0.84;
p.beta0 = 7;
p.betas = 7;
p.betap = 7;
p.betaH = 1.17;
p.gammaH = 0;
P0 = 93;
Paval = P0;
Pvval = (1 / (1 + p.R/p.r)) * P0;
Hval = (1 / (p.R * p.Vstr)) * (1 / (1 + p.r/p.R)) * P0;
history = [Paval; Pvval; Hval];
for tau = [1 7.5]
sol = dde23(@prob2f,tau,history,[0, 350]);
figure
plot(sol.x,sol.y(1,:))
title(['Problem 2. Baroflex Feedback Mechanism with' ...
' \tau = ',num2str(tau),'.'])
xlabel('time t')
ylabel('P_a(t)')
axis([0 350 82 96])
end
%-----------------------------------------------------------------------
% Nested function
%
function yp = prob2f(t,y,Z)
%PROB2F The derivative function for Problem 2 of the DDE Tutorial.
% Local variables are used to express the equations in terms
% of the physical quantities of the model.
ylag = Z(:,1);
Patau = ylag(1);
Paoft = y(1);
Pvoft = y(2);
Hoft = y(3);
dPadt = - (1 / (p.ca * p.R)) * Paoft + (1/(p.ca * p.R)) * Pvoft ...
+ (1/p.ca) * p.Vstr * Hoft;
dPvdt = (1 / (p.cv * p.R)) * Paoft ...
- ( 1 / (p.cv * p.R) + 1 / (p.cv * p.r) ) * Pvoft;
Ts = 1 / ( 1 + (Patau / p.alphas)^p.betas );
Tp = 1 / ( 1 + (p.alphap / Paoft)^p.betap );
dHdt = (p.alphaH * Ts) / (1 + p.gammaH * Tp) - p.betaH * Tp;
yp = [ dPadt;
dPvdt;
dHdt ];
end % prob2f
%-----------------------------------------------------------------------
end % prob2
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