cvxpy.error.DCPError: Problem does not follow DCP rules. Specifically: The following constraints are not DCP: 1.0 <= maximum(var182, var183) , because the following subexpressions are not: |-- 1.0 <= maximum(var182, var183)
时间: 2024-04-09 07:28:36
浏览: 185
抱歉,我之前的回答有误。在cvxpy中,`maximum()`[函数](https://geek.csdn.net/educolumn/ba94496e6cfa8630df5d047358ad9719?dp_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpZCI6NDQ0MDg2MiwiZXhwIjoxNzA3MzcxOTM4LCJpYXQiOjE3MDY3NjcxMzgsInVzZXJuYW1lIjoid2VpeGluXzY4NjQ1NjQ1In0.RrTYEnMNYPC7AQdoij4SBb0kKEgHoyvF-bZOG2eGQvc&spm=1055.2569.3001.10083)不是DCP(Disciplined Convex Programming)规则兼容的[函数](https://geek.csdn.net/educolumn/ba94496e6cfa8630df5d047358ad9719?dp_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpZCI6NDQ0MDg2MiwiZXhwIjoxNzA3MzcxOTM4LCJpYXQiOjE3MDY3NjcxMzgsInVzZXJuYW1lIjoid2VpeGluXzY4NjQ1NjQ1In0.RrTYEnMNYPC7AQdoij4SBb0kKEgHoyvF-bZOG2eGQvc&spm=1055.2569.3001.10083),因此无法直接在约束中使用它。
如果您需要添加"或"约束,可以使用cvxpy的`cp.maximum()`[函数](https://geek.csdn.net/educolumn/ba94496e6cfa8630df5d047358ad9719?dp_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpZCI6NDQ0MDg2MiwiZXhwIjoxNzA3MzcxOTM4LCJpYXQiOjE3MDY3NjcxMzgsInVzZXJuYW1lIjoid2VpeGluXzY4NjQ1NjQ1In0.RrTYEnMNYPC7AQdoij4SBb0kKEgHoyvF-bZOG2eGQvc&spm=1055.2569.3001.10083)结合逻辑约束来实现。下面是一个示例代码:
```python
import cvxpy as cp
# 创建变量
x = cp.Variable()
y = cp.Variable()
# 添加或约束
constraint = [
x >= 0,
y >= 0,
cp.maximum(x, y) >= 1
# 创建[目标](https://geek.csdn.net/educolumn/06c7a9ffb1969a0ad080048a16f82c4e?spm=1055.2569.3001.10083)[函数](https://geek.csdn.net/educolumn/ba94496e6cfa8630df5d047358ad9719?dp_token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpZCI6NDQ0MDg2MiwiZXhwIjoxNzA3MzcxOTM4LCJpYXQiOjE3MDY3NjcxMzgsInVzZXJuYW1lIjoid2VpeGluXzY4NjQ1NjQ1In0.RrTYEnMNYPC7AQdoij4SBb0kKEgHoyvF-bZOG2eGQvc&spm=1055.2569.3001.10083)
objective = cp.Maximize(x + y)
# 创建问题并求解
problem = cp.Problem(objective, constraint)
problem.solve()
# 打印结果
print("最优值:", problem.value)
print("最优解:")
print("x =", x.value)
print("y =", y.value)
在上面的示例中,我们使用`cp.maximum(x, y)`创建了一个最大值约束,并将其与其他约束一起添加到问题中。请注意,这并不是严格的逻辑或约束,而是要求至少一个变量的值大于等于1。
希望这次能够帮到您!对之前给出错误代码的答复感到抱歉。
相关问题
上述给出的例子运行时,报以下错误:cvxpy.error.DCPError: Problem does not follow DCP rules. Specifically: The following constraints are not DCP: 1.0 <= maximum(var198, var199) , because the following subexpressions are not: |-- 1.0 <= maximum(var198, var199)
抱歉,我之前的回答有误。在cvxpy中,`maximum()`函数不是DCP(Disciplined Convex Prog