Nothing
nVar <<- 5
dMax <<- 2
# poLabs(nVar, dMax)
# model formulation
# coeff
a = 1
b = 2
c = 0.7
p = 1.1
q = 0.1
# equations
Eq1 <- c(0, q, 0, -p, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, -a, 0, 0, 0, 0, 0)
Eq2 <- c(0, q, 0, -p, 0, 0, 0, 0, 0, 0, -a, 0, 0, 0, 0, -b, 0, 0, 1, 0, 0)
Eq3 <- c(1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, 0)
Eq4 <- c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, c, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
Eq5 <- c(0, 0, 0, q, 0, 0, 0, 0, 0, 0, q, 0, 0, 0, 0, q, 0, 0, 0, 0, 0)
KL <- cbind(Eq1, Eq2, Eq3, Eq4, Eq5)
# visuEq(nVar = nVar, dMax = dMax, K = KL, substit = c("x1", "x2", "x3", "x4", "x5"))
#
# numerical integration
yDeb <- c(0.8, 0.2, 0.4, 0.2, 0.1)
# outNumi <- numicano(nVar = nVar, dMax = dMax, Istep = 100000, onestep = 1/100, KL = KL, v0 = yDeb, method = 'rk4')
# plot(outNumi$reconstr[,1], outNumi$reconstr[,2], type = 'l')
intgrMthod <<- "ode45"
nIterMin <<- 1
tEnd <<- 20.
printIter <<- 100
lastIter <<- 500
timeStep <<- 0.01
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