Try relaxing the value of each bounded constraint one at a time, solve the modified problem, and see what happens to the optimal value of the objective function.
一次只尝试放松每个边界约束一个单位，解决修改后的问题，看一下目标函数的优化值发生了什么变化。
Fan J and Gijbels I gave the asymptotic normality of local polynomial regression estimation in dependent time series, where the weighted function is bounded.
对相依时间序列数据，在一定的条件下已有人证明了局部多项式加权回归系数估计服从渐近正态分布，其中核函数是有界的。
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