Effacer les filtres
Effacer les filtres

I have a code in python and want to convert it in matlab format

5 vues (au cours des 30 derniers jours)
Arvind
Arvind le 15 Avr 2024
Modifié(e) : Arvind le 16 Avr 2024
def DEM(Km, Gm, Ki, Gi, alphai, phii, phi0=0.0, r=1000, phitol=1.0E-10, gamma=0.01):
phi = np.sum(phii)
fraci = phii / np.sum(phi)
ci = fraci * alphai / r
n = int(np.ceil((np.log(1.0 - phi) - np.log(1.0 - phi0)) / np.sum(np.log(1.0 - ci))))
m = len(alphai)
def func(r):
f = np.empty(m)
f[0] = np.log(alphai[0] / r[0]) + np.log(1.0 - phi0 / phi) - np.log(
1 - ((1.0 - phi) / (1.0 - phi0)) ** (1.0 / n))
for j in range(1, m):
f[j] = f[j - 1] + np.log(alphai[j] / r[j]) + np.log(r[j - 1] / alphai[j - 1] - fraci[j - 1])
return f
def fprime(r):
jac = np.diag(-1.0 / r)
for j in range(0, m - 1):
jac[j + 1:, j] = -1.0 / r[j] + 1.0 / (r[j] - fraci[j] * alphai[j])
return jac
r0 = r * np.ones(m)
ri = fsolve(func, r0, fprime=fprime, factor=0.1)
ci = fraci * alphai / ri
thetai = theta(alphai)
fi = f(alphai, thetai)
K = np.empty(n)
G = np.empty(n)
phi = np.empty(n)
K_ = Km
G_ = Gm
phi_ = phi0
for i in range(n):
dphi = ci[0] * (1.0 - phi_)
K_, G_ = KG(K_, G_, Ki[0], Gi[0], ci[0], thetai[0], fi[0])
phi_ += dphi
for j in range(1, m):
dphi *= ci[j] * (1.0 - ci[j - 1]) / ci[j - 1]
K_, G_ = KG(K_, G_, Ki[j], Gi[j], ci[j], thetai[j], fi[j])
phi_ += dphi
K[i] = K_
G[i] = G_
phi[i] = phi_
return K, G, phi

Réponses (1)

Steven Lord
Steven Lord le 15 Avr 2024
Do you need to convert the code or would being able to run the code in MATLAB be sufficient? If the latter, see the documentation for instructions on how to run Python code in MATLAB.
  1 commentaire
Arvind
Arvind le 16 Avr 2024
Modifié(e) : Arvind le 16 Avr 2024
I am looking to convert the code.

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