ValueError：fmin_l_bfgs_b中要解压缩的值太多

Question

我运行以下代码来运行xfoil，以获得机翼中权重的最佳值。

def four_dim_opt(x0, weight_limits, cl, file_path, xfoil_path): 
opt_out = fmin_l_bfgs_b(run_xfoil_wcl, x0, args = (cl, file_path, xfoil_path), bounds = weight_limits, epsilon = 0.01, approx_grad = True) 
return opt_out 

其中run_xfoil_wcl是阻力值的functionreturning系数（浮点）。

我不断收到的错误是：

Traceback (most recent call last): 
File "<pyshell#13>", line 1, in <module> 
four_dim_opt(x0, weight_limits, 1.2, file_path, xfoil_path) 
File "H:/appliedlab4 - Copy(2).py", line 157, in four_dim_opt 
opt_out = fmin_l_bfgs_b(run_xfoil_wcl, x0, args = (cl, file_path, xfoil_path), bounds =  weight_limits, epsilon = 0.01, approx_grad = True) 
File "C:\Python27\lib\site-packages\scipy\optimize\lbfgsb.py", line 166, in fmin_l_bfgs_b 
l,u = bounds[i] 
ValueError: too many values to unpack 

Answer 1

的weight_limits参数scipy.optimize.fmin_l_bfgs_b导致了错误，它应该是None或包含两个元素的列表：

weight_limits - (min, max) pairs for each element in x, defining the bounds on that parameter. Use None for one of min or max when there is no bound in that direction.

Answer 2

你是什么传递给four_dim_opt作为您的weight_limits？对于weight_limits被传递到边界的值，然后在该行访问你的错误信息：列表中的每个项目

l,u = bounds[i] 

这意味着weight_limits预计将列表或元组，并且也应该是一个列表或元组（正好保存两个值）。