from sympy import * from mfiter import * import time #from multiprocessing import Pool if __name__ == '__main__': h = ham(width=10,length=20,holes=[[1,2]]) t = time.time() #p = Pool(processes=2) n, etot = mfiter(h)#,pool=p) print etot #n = meanfield(h) print time.time()-t
#test for contrution of mfiter from hamiltonian import * from edensity import * from scipy.linalg import * from scipy.optimize import newton from mfiter import * #h = ham() h = ham(width=4,length=5,holes=[[1,2]]) c = eden(h) n, mu = mfiter(h,c) c = deepcopy(n) T = RT N = map(sum,c.den) m =map(lambda s:h.mat(s,c), [0,1]) w, v= [[],[]], [[],[]] (w[0],v[0]), (w[1],v[1]) = map(eigh, m) d = map(lambda s:array(map(lambda x:x**2, v[s].T)), [0,1]) d0 = map(lambda s:mat(map(lambda i:v[s][:,i]**2, xrange(h.dim))), [0,1]) '''def eqfermi(mu,N,w,T=RT): return N - sum( fermi(w,mu,T) ) #return map( lambda s: N[s] - sum( vfermi(w[s],mu[s],T) ), [0,1] ) def chempot(N,energy,temp,mu0): return newton(eqfermi,mu0,args=(N,energy,temp)) ''' mu = [[],[]] mu[0] = chempot(N[0],w[0],T,w[0][N[0]]) mu[1] = chempot(N[1],w[1],T,mu[0]) #print mu #print map(lambda s:eqfermi(mu[s],N[s],w[s]), [0,1]) #n = mat(map(lambda s: map(lambda i:sum(fermi(w[s][:],mu[s],T)*d[s][:,i]),
