Hello all -

This code will run, but it bogs down my computer when I run it for finer and
finer time increments and more generations.  I was wondering if there is a
better way to write my loops so that this wouldn't happen.  Thanks!

-Tyler

#################

# Bifurcation diagram

# Using Braaksma system of equations

# We have however used a Fourier analysis

# to get a forcing function similar to

# cardiac action potential...

#################

require(odesolve)



# We get this s_of_t function from Maple ws

s_of_t = function(t)

{

(1/10) * (( (1/2) + (1/2) * (sin((1/4)*pi*t))/(abs(sin((1/4)*pi*t)))) * (
6.588315815*sin((1/4)*pi*t) - 1.697435362*sin((1/2)*pi*t) - 1.570296922*sin
((3/4)*pi*t) + 0.3247901958*sin(pi*t) + 0.7962749105*sin((5/4)*pi*t) +
0.07812230515*sin((3/2)*pi*t) - 0.3424877143*sin((7/4)*pi*t) - 0.1148306748*
sin(2*pi*t) + 0.1063696962*sin((9/4)*pi*t) + 0.02812403009*sin((5/2)*pi*t)))

 }


ModBraaksma = function(t, n, p)

{


 dx.dt = (1/0.01)*(n[2]-((1/2)*n[1]^2+(1/3)*n[1]^3))

 dy.dt = -(n[1]+p["alpha"]) + 0.032 * s_of_t(t)

list(c(dx.dt, dy.dt))

}


initial.values = c(0.1, -0.02)


alphamin = 0.01

alphamax = 0.02


alphas = seq(alphamin, alphamax, by = 0.00001)


TimeInterval = 100


times = seq(0.001, TimeInterval, by = 0.001)


plot(1, xlim = c(alphamin, alphamax), ylim = c(0,0.3), type = "n",xlab
= "Values
of alpha", ylab = "Approximate loop size for a limit cycle", main =
"Bifurcation
Diagram")


for (i in 1:length(alphas)){

 params = c(alpha=alphas[i])

out = lsoda(initial.values, times, ModBraaksma, params)

X = out[,2]

Y = out[,3]

 for(j in 200:length(times)){

 if (abs(X[j]) < 0.001) {

points(alphas[i], Y[j], pch = ".")

 }

}

}

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