| 1. | Randomized algorithms ; learning theory ; robust control
随机化算法学习理论鲁棒控制 |
| 2. | Robust control design based on randomized algorithms
基于随机化算法的鲁棒控制器设计 |
| 3. | Currently , there are mainly two kinds of research methods on this problem : meta - heuristics approach and randomized algorithms
目前,对于实体空间优化摆放问题,国内外研究中所用的方法主要有两种:用启发式规则的方法以及用随机算法求解。 |
| 4. | This paper combines learning theory with robust control and discusses robust control design problems involving real parameter uncertainty in control systems based on randomized algorithms
将学习理论与鲁棒控制相结合，采用随机化算法针对实参数不确定系统讨论了鲁棒控制器的设计问题。 |
| 5. | Xu y . studies on randomized algorithms for sat problem and its phase transition phenomenon [ ph . d . thesis ] . hefei : university of science and technology ofchina , 2002 ( in chinese with english abstract )
徐云. sat问题的随机算法及其相变现象研究[博士学位论文] .合肥:中国科学技术大学, 2002 |
| 6. | Then a suboptimal solution of the graph maximum equal - cut problem is presented employing the randomized algorithm and the improved coordinate ascent ( descent ) algorithm on the optimal solution of semidefmite relaxation
在利用lagrange乘子理论得出原始问题的等价形式之后，将近似算法与改进的坐标上升(下降)算法结合，求得原问题的次优解。 |
| 7. | It is shown that randomized algorithms can decrease the computational complexity dramatically instead of seeking worst case guarantees . in addition , examples in this paper show that employing randomized algorithms is very efficient and has obvious advantages especially when uncertain interval parameters appear multilinearly or nonlinearly in the characteristic polynomial coefficients
研究表明，在不考虑最坏情况的意义下，随机化算法可以显著降低计算复杂性，另外，当不确定区间参数以多线性或非线性的方式出现在特征多项式系数中时，采用随机化算法具有明显的优点并且是非常有效的，文中给出了计算实例。 |
