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- non - linear optimal problem 非线性最小问题
- The upper bound of minimum error covariance satisfying all the uncertainties is found and the optimal problem is solved in the framework of linear matrix inequality (LMI). 首先,根据噪声方差不确定模型,找到满足所有不确定性的最小方差上界,在线性矩阵不等式(LMI)框架下求解优化问题,得到近似到达代价的表达形式;
- By using the wavelet transform and the non linear optimization,we calculated parameters and determined the saltation edges of the differential ECG. 微分心电信号的突变特性反映了心肌除极波前在传播过程中的临界点现象,有可能解释心电图高频成分的成因。
- An equation or inequality relating the variables in an optimization problem. 在优化问题中,一种表示若干变量相互关系的方程(式)或不等式。
- linear optimization problem 线性最优化问题
- The final control net is obtained by solving a nonlinear optimal problem. 重构曲线的最终控制网格可通过求解一个非线性优化问题获得。
- By using this algorithm, working optimal problem can be satisfactorily solved. 运用这一算法,较为满意地解决了这一作业优化问题。
- Kriging is an important part of geostatistics, which deals with spatially distributed data, the estimation of Kriging is linear optimal and unbiased interpolative. 克里格法是地统计学的重要内容之一,它可对空间分布的数据求线性最优、无偏内插估计。
- By using a saturated feedback control structure, the control law is obtained by solving a linear matrix inequality (LMI) optimization problem on-line. 初始时刻优化问题的可行性保证了闭环控制系统的鲁棒稳定性。
- The solvable condition of this optimization problem and further the solutions are derived by employing linear matrix inequality techniques. 应用线性矩阵不等式技术,给出并证明了该解存在条件和求解方法。
- Again, this is a multi-variate optimization problem. 这也是一个多变量的最优化问题。
- Based on discrete mathematical model of linear optimal control,the hardware and software of microcomputer excitation regulator are designed.The regulator is tested in SICE simulator. 以线性最优控制理论为基础,研究并设计制作了采用单片机控制的微机励磁调节器的主要软、硬件,在仿真机上进行了调试。
- Layout problem is a combinatory optimization problem. 布局问题是一个组合最优化问题。
- The TSP is a classic combinatorial optimization problem. TSP是经典的组合优化问题。
- The set-valued optimization problem with constraints is considered in the sense of super efficiency in real normed linear space. 在实赋范线性空间中考虑约束集值优化问题的超有效性。
- A comprehensive set of lecture notes, from basic principles, such as Linear Optimization, to sophisticated real-world applications are available. Also, there are problem sets in PDF format. 本课程提供详尽的课堂讲稿,涵盖线性规划等基本原理以及复杂的实际问题应用。同时,本课还有一些问题集(PDF格式)。
- The result from calculational example shows that SLFA can solve the parameter optimal problem of the multi-product pipeline very well. 算例结果表明,SFLA算法可以较好地解决成品油输送管网的参数优化问题。
- The algorithm decomposes the complex non-linear optimal problem into three courses, according to the different constraints. 该算法将复杂的非线性优化问题根据不同的优化约束条件,分解为三个求解阶段。
- This non sequitur invalidates his argument. 他不根据前提推理因而论证无效。
- The transceiver optimization problem for MIMO channels has been considered in the past with linear receivers as well as with decision feedback (DFE) receivers. 收发器的优化问题的MIMO渠道在过去被考虑过使用线性接收器以及与判决反馈(有限元)接收器。