我正在使用odeint来求解一组耦合的一阶非线性微分方程。函数dHs(t,v)是返回耦合DE的数组的函数。我正在努力解决并策划它们。我之前用过它:
def f(y, t):
"""Returns the collections of first-order
decoupled differential equations with initial
values substituted in"""
v11i = y[0]
v22i = y[1]
v12i = y[2]
# the model equations
f0 = dHs(tRel,vij)[0].subs(v12,v12i)
f1 = dHs(tRel,vij)[3].subs(v12,v12i)
f2 = dHs(tRel,vij)[1].expand().subs([(v11,v11i),(v22,v22i),(v12,v12i)])
return [f0, f1, f2]
# Global
# Initial conditions for equations
v110 = 6
v220 = 6
v120 = 4
y0 = [v110, v220, v120] # initial condition vector
sMesh = np.linspace(0, 1, 10e3) # time grid
# Solve the DE
soln = odeint(f, y0, sMesh)
然后它被绘制并且工作得很好,但是现在我正在尝试推广它并在数组中使用n个条目,dHs(tRel,vij),它给了我一个错误
TypeError Traceback (most recent call last)
C:\Users\Justin\AppData\Local\Enthought\Canopy\System\lib\site-packages\IPython\utils\py3compat.pyc in execfile(fname, glob, loc)
174 else:
175 filename = fname
--> 176 exec compile(scripttext, filename, 'exec') in glob, loc
177 else:
178 def execfile(fname, *where):
C:\Users\Justin\Research\srg.py in <module>()
129
130 if __name__ == "__main__":
--> 131 main()
C:\Users\Justin\Research\srg.py in main()
124
125 sMesh = np.linspace(0, 1, 10e3) # time grid
--> 126 odeSolver(dHsFunction(t, V_s).expand(), sMesh, v, V_0)
127
128 print "Success"
C:\Users\Justin\Research\srg.py in odeSolver(arrEq, timeMesh, v, v_i)
69 grid returns array of solutions."""
70
---> 71 soln = odeint(f,v_i,timeMesh)
72
73 # Create lambsa mesh to take s->infinity
C:\Users\Justin\AppData\Local\Enthought\Canopy\User\lib\site-packages\scipy\integrate\odepack.pyc in odeint(func, y0, t, args, Dfun, col_deriv, full_output, ml, mu, rtol, atol, tcrit, h0, hmax, hmin, ixpr, mxstep, mxhnil, mxordn, mxords, printmessg)
141 output = _odepack.odeint(func, y0, t, args, Dfun, col_deriv, ml, mu,
142 full_output, rtol, atol, tcrit, h0, hmax, hmin,
--> 143 ixpr, mxstep, mxhnil, mxordn, mxords)
144 if output[-1] < 0:
145 print(_msgs[output[-1]])
TypeError: __array__() takes exactly 1 argument (2 given)
代码
def f(arrEq, v, v_i):
"""Returns the collections of first-order
coupled differential equations"""
# Substitute values of v0-(n-1) for initial values
for i in range (0,len(arrEq)):
for j in range (0,len(v_i)):
arrEq[i] = arrEq[i].subs(v[j],v_i[j])
return arrEq
def odeSolver(arrEq, timeMesh, v, v_i):
"""Solves a set of coupled oridinary differential
equations. Takes in arrray of coupled ODE's and time
grid returns array of solutions."""
soln = odeint(f,v_i,timeMesh)
# Create lambsa mesh to take s->infinity
lambMesh = map(lambda x: 1./x**(1./4), timeMesh)
# Plot functions with respect to lambda
plotEvolution(soln, lambMesh, v)
return
# Within main
sMesh = np.linspace(0, 1, 10e3) # time grid
odeSolver(dHsFunction(t, V_s), sMesh, v, V_0)
其中v是用于在arrEq中替换的符号数组,V_0是符号的初始值的数组,对应于v中的相同位置。
我在做什么/呼唤错误导致第二种方式不起作用但第一种方式起作用。我使用完全相同的输入(方程式相同),只是一种不同的方法来解决它。