[英]PuLP slow when adding many constraints
我不确定已实施的补丁程序能否真正解决问题。 我指的是:
“实际上仅通过使用该类的iadd就允许“ + =”
有什么更新吗? 有人可以提供此代码的“更快”版本吗?
import pulp
vars = pulp.LpVariable.dicts("var",range(1000),0,None,pulp.LpContinuous)
coeffs = range(1000)
expr = pulp.LpAffineExpression()
import time
start_time = time.time()
for n in range(1000): #Ten times building an expression of 1000 elements
#print n
for i in range(1000): # 1000 elements
expr += coeffs[i] * vars[i]
print("--- %s seconds ---" % (time.time() - start_time))
谢谢
这应该更快
import pulp
vars = pulp.LpVariable.dicts("var",range(1000),0,None,pulp.LpContinuous)
coeffs = range(1000)
import time
start_time = time.time()
for n in range(1000): #Ten times building an expression of 1000 elements
#print n
pulp.lpSum([coeffs[i] * vars[i] for i in range(1000)])
print("--- %s seconds ---" % (time.time() - start_time))
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