我有两个程序,一个可以接受 N 个耦合 ODE,一个可以使用 2 个耦合 ODE。如果我将 2 个相同的 ODE 输入到两个代码中,并且具有相同的时间跨度,我会得到不同的答案。我知道正确答案,所以我可以推断我的 N many 程序是错误的。
这是 2 等式专用的代码:
# solve the coupled system dy/dt = f(y, t)
def f(y, t):
"""Returns the collections of first-order
coupled differential equations"""
#v11i = y[0]
#v22i = y[1]
#v12i = y[2]
print y[0]
# the model equations
f0 = dHs(tRel,vij)[0].subs(v12,y[2])
f1 = dHs(tRel,vij)[3].subs(v12,y[2])
f2 = dHs(tRel,vij)[1].expand().subs([(v11,y[0]),(v22,y[1]),(v12,y[2])])
return [f0, f1, f2]
# Initial conditions for graphing
v110 = 6
v220 = 6
v120 = 4
y0 = [v110, v220, v120] # initial condition vector
sMesh = np.linspace(0, 1, 10e3) # time grid
# Solve the DE's
soln = odeint(f, y0, sMesh)
这是专用的N方程:
def f(y, t):
"""Returns the derivative of H_s with initial
values plugged in"""
# the model equations
print y[0]
for i in range (0,len(dh)):
for j in range (0,len(y)):
dh[i] = dh[i].subs(v[j],y[j])
dhArray = []
for i in range(0,len(dh)):
dhArray.append(dh[i])
return dhArray
sMesh = np.linspace(0, 1, 10e3) # time grid
dh = dHsFunction(t, V_s).expand()
soln = odeint(f, v0, sMesh)
其中 dHs(tRel,vij) = dHsFunction(t,V_s) 即完全相同的 ODE。同样,y0 和 v0 完全相同。但是当我在 N 很多情况下打印 y[0] 时,我得到的输出是:
6.0
5.99999765602
5.99999531204
5.97655553477
5.95311575749
5.92967598021
5.69527820744
5.46088043467
5.2264826619
2.88250493418
0.53852720647
-1.80545052124
-25.2452277984
-48.6850050755
-72.1247823527
-306.522555124
与以下 2 个专用案例相反:
6.0
5.99999765602
5.99999765602
5.99999531205
5.99999531205
5.98848712729
5.98848712125
5.97702879748
5.97702878476
5.96562028875
5.96562027486
5.91961750442
5.91961733611
5.93039037809
5.93039029335
5.89564277275
5.89564273736
5.86137647436
5.86137638807
5.82758984835
etc.
其中第二个结果是正确的,并绘制了正确的图表。
如果需要更多代码或其他任何内容,请告诉我。谢谢。