错误使用 + adding nan to an sdpvar makes no sense.
时间: 2023-10-25 18:04:06 浏览: 212
"将NaN添加到SDP变量中是没有意义的"是MathWorks的MATLAB优化工具箱的错误信息。SDP变量(半定规划变量)是一种特殊类型的变量,在最优化问题的求解中起到重要作用。而NaN是一种表示非数字的特殊值,常用于表示计算错误或未定义的结果。
通常情况下,将NaN添加到SDP变量是错误的,这是因为SDP变量需要满足一些特定的数学性质和约束条件。SDP变量必须是有限的实数值,可以进行数学运算和优化计算。而NaN是一个特殊的值,它被认为是无限大或未定义的,与SDP变量的要求不符。
因此,错误地将NaN添加到SDP变量中可能导致优化计算无法进行或产生无意义的结果。如果您在使用MATLAB优化工具箱时收到此错误信息,您应该检查代码,确保不会将NaN值与SDP变量混淆。
在使用SDP变量时,确保遵守其定义和约束条件,以获得有效和可靠的优化结果。
相关问题
Adding NaN to an SDPVAR makes no sense.
回答: 在SDPVAR中添加NaN是没有意义的。\[1\]这是因为SDPVAR是一个优化问题中的变量,它代表了一个未知的实数值,而NaN代表了一个无效的或未定义的数值。在SDPVAR中添加NaN可能会导致优化问题无法求解或产生不可靠的结果。\[2\]在Matlab中,当用户在定义了SDPVAR变量后,后续的赋值操作可能会导致变量被自动转换为double类型,从而产生NaN值。因此,在使用SDPVAR时,需要注意避免将NaN赋值给SDPVAR变量。\[3\]如果在Python项目中将文件另存为并替换原有文件后再次运行,可能会得到一些结果,如r = 1.0000 0.5010 0.5010 1.0000。这些结果可能与添加NaN到SDPVAR无关。
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