piecewise polynomials (PPs) are utilized in several engineering disciplines,
like trajectory planning, to approximate position profiles given in the form of
a set of points. While the approximation target along with domain-specific
requirements, like Ck -continuity, can be formulated a
文章探讨带有噪声梯度反馈的非平稳随机优化框架，在比较序列变化的动态策略中，研究在线学习算法的动态后悔，并引入了 Total Variation ball 等新颖变分约束来建模比较序列，并基于基于小波的非参数回归理论，设计出一个多项式时间算法，并证明了该算法达到了几乎最优的动态后悔，该策略适应未知的半径。