Python 犰狳C+中复特征值分解的不同值+；

在a之后，与中的已知工作解决方案相比，我在中重现相同的特征值分解时遇到问题。以下是示例代码：

cx\u mat R
R使用以下代码进行测试后：

cx_-mat测试；
测试=（R-sigmai（0）*眼睛（（uword）4，（uword）4））*vi.col（0）；
cout使用以下代码测试后：

cx_-mat测试；
测试=（R-sigmai（0）*眼睛（（uword）4，（uword）4））*vi.col（0）；
库特
(+4.498e+00,+0.000e+00)    (+9.472e-01,-3.194e+00)    (-3.650e-01,-2.374e-01)    (+2.044e+00,-1.742e+00)
(+9.472e-01,+3.194e+00)    (+2.467e+00,+0.000e+00)    (+9.169e-02,-3.091e-01)    (+1.668e+00,+1.085e+00)
(-3.650e-01,+2.374e-01)    (+9.169e-02,+3.091e-01)    (+4.215e-02,+0.000e+00)    (-7.394e-02,+2.493e-01)
(+2.044e+00,+1.742e+00)    (+1.668e+00,-1.085e+00)    (-7.394e-02,-2.493e-01)    (+1.604e+00,+0.000e+00)

8.6114e+00
7.9193e-04
5.1075e-04
1.2430e-05

(+8.611e+00,+6.461e-16)
(-7.919e-04,-2.056e-16)
(+5.107e-04,+2.945e-16)
(+1.243e-05,+1.975e-19)

(+7.227e-01,+0.000e+00)    (-8.313e-02,+2.617e-01)    (-4.869e-01,+4.050e-01)    (+3.047e-02,+1.466e-02)
(+1.522e-01,+5.132e-01)    (+7.915e-01,+0.000e+00)    (+2.233e-01,+1.582e-01)    (-3.507e-02,+1.047e-01)
(-5.864e-02,+3.814e-02)    (+3.060e-02,+9.116e-02)    (+8.535e-03,-1.240e-02)    (+9.928e-01,+0.000e+00)
(+3.285e-01,+2.799e-01)    (-4.454e-01,+3.009e-01)    (+7.237e-01,+0.000e+00)    (-1.148e-02,-3.005e-02)

[[ 4.498+0.j     0.947-3.194j -0.365-0.237j  2.044-1.742j]
 [ 0.947+3.194j  2.467+0.j     0.092-0.309j  1.668+1.085j]
 [-0.365+0.237j  0.092+0.309j  0.042+0.j    -0.074+0.249j]
 [ 2.044+1.742j  1.668-1.085j -0.074-0.249j  1.604+0.j   ]]

[8.611e+00 9.758e-04 6.199e-04 2.093e-05]

[ 8.611e+00+2.121e-16j -9.758e-04-6.774e-17j  6.199e-04+2.675e-16j
  2.093e-05-1.656e-17j]

[[ 0.723+0.j    -0.095+0.237j -0.379+0.478j  0.203-0.001j]
 [ 0.152+0.513j  0.726+0.j     0.342+0.081j  0.248-0.026j]
 [-0.059+0.038j -0.447-0.005j  0.342-0.076j  0.82 +0.j   ]
 [ 0.328+0.28j  -0.397+0.223j  0.618+0.j    -0.462+0.103j]]