scipy.optimize.minimize 使用 L-BFGS-B 返回 ABNORMAL_TERMINATION_IN_LNSRCH

如何解决scipy.optimize.minimize 使用 L-BFGS-B 返回 ABNORMAL_TERMINATION_IN_LNSRCH

我正在使用 scipy.optimize.minimize 来解决/计算 314 次仿射变换中的 3768 个变量以将一个点云转换为另一个 eval_fun，首先我尝试使用 scipy.optimize.fmin_l_bfgs_b 和 approx_grad 来避免实现梯度，但它一直崩溃与 ABnorMAL_TERMINATION_IN_LNSRCH。然后我实现了梯度函数并开始使用最小化，但它仍然以相同的错误崩溃。

res = minimize(eval_func,x0=np.array(M),method='L-BFGS-B',args=(scan_pts,scan_fce,scan_nrm,scan_mar,temp_pts,temp_fce,temp_nrm,temp_mar,alfa,beta,gama,edges),options={'iprint' : 99,'maxiter' : 100},jac=True)

这是完整的输出：

This problem is unconstrained.

 Line search cannot locate an adequate point after 20 function
  and gradient evaluations.  PrevIoUs x,f and g restored.
 Possible causes: 1 error in function or gradient evaluation;
                  2 rounding error dominate computation.
RUNNING THE L-BFGS-B CODE

           * * *

Machine precision = 2.220D-16
 N =         3768     M =           10

At X0         0 variables are exactly at the bounds

At iterate    0    f=  1.88129D-01    |proj g|=  9.98119D-01


IteraTION     1

---------------- CAUCHY entered-------------------
 There are            0   breakpoints 

 GCP found in this segment
Piece      1 --f1,f2 at start point  -9.3847D+02  9.3847D+02
distance to the stationary point =   1.0000D+00

---------------- exit CAUCHY----------------------

        3768  variables are free at GCP            1

           * * *

Tit   = total number of iterations
Tnf   = total number of function evaluations
Tnint = total number of segments explored during Cauchy searches
Skip  = number of BFGS updates skipped
Nact  = number of active bounds at final generalized Cauchy point
Projg = norm of the final projected gradient
F     = final function value

           * * *

   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
 3768      1     21      1     0     0   9.981D-01   1.881D-01
  F =  0.18812870968000006     

ABnorMAL_TERMINATION_IN_LNSRCH

我尝试更改所有值，如此处所述： scipy.optimize.fmin_l_bfgs_b returns 'ABNORMAL_TERMINATION_IN_LNSRCH' 但它们都不起作用

我能做什么？