SDP:半定规划
半定规划(Semi-Definite Programming,简称SDP)是一种重要的数学优化方法,广泛应用于控制理论、组合优化及量子信息等科学领域。作为一种高效的表达工具,SDP的缩写形式便于学术文献和技术文档中的快速书写与交流,具有显著的实用价值。
Semi-Definite Programming具体释义
Semi-Definite Programming的英文发音
例句
- An interior-point method for nonlinear semi-definite programming by means of exact penalty function and a trust-region-type globalization technique are presented in the paper.
- 利用精确罚函数和信赖域全局优化技术给出非线性半定规划(SDP)的一种内点法。
- A sub-problem that per iteration of the approach needs to be solved is a quadratic semi-definite programming and can be solved quite efficiently by using some existed software.
- 该算法的每步迭代需要解的子问题是一个二次半定规划(SDP)问题,可以用已有的半定规划(SDP)软件有效地求解。
- Nodes Locating Algorithm Based on Local Semi-Definite Programming(SDP) for Large Scale Wireless Sensor Networks
- 大规模传感器网络局部半定规划(SDP)的节点定位算法
- The proposed controller is obtained by using semi-definite programming ( SDP ) which can be easily solved by means of linear matrix inequalities.
- 控制器的求解转化为以线性矩阵不等式形式给出的半正定规划问题。
- At first, we review the existing method based on semi-definite programming.
- 首先,回顾了已有的基于半正定规划设计发射方向图的方法。
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