本文在上述基础上应用并行子空间优化设计(CSSO)算法对无尾飞翼式攻击型无人机进行多学科一体化设计。
One of major contributions in this research is an application of Concurrent Subspace Optimization (CSSO) to the preliminary design of aggressive tailless Unmanned Aerial Vehicle.
实现基于响应面的并行子空间优化过程(CSSO - RS),关键在于如何高效率高精度的构造近似响应面。
A key technique of Concurrent SubSpace Optimization-Response Space (CSSO-RS) is to construct responsive surfaces effectively and accurately.
结合牛顿法与子空间迭代的思想,给出了一种求解大型优化问题的方法。
An optimization method for large scale problems which combines Newton method and Interated-Subspace method is proposed.
通过对OFDM的子信道比特分配空间进行分析,本文提出着眼于误比特概率梯度的动态lms算法和全局优化算法。
In this paper, dynamical LMS algorithm and global optimization algorithm, with a view to gradient of error probability, are proposed based on analysis of sub-carries allocation space for OFDM system.
该算法通过将整个搜索空间分割成若干子空间,在这些子空间上利用嵌入零搜索算子的微粒群算法进行优化。
The algorithm divides the whole search space into a number of sub-spaces, which are optimized by utilizing the PSO embedded zero search operators.
使用仿射变换内点回代技术的信赖域子空间算法解线性不等式约束的非线性优化问题。
We present an affine scaling trust region algorithm with interior back - tracking and subspace techniques for nonlinear optimizations subject to linear inequality constraints.
给出了大规模界约束优化的一个子空间截断牛顿法。
A subspace truncated-Newton algorithm for large-scale bound constrained optimization is proposed.
模式识别;可视化;多元数据;图表示;几何代数;子空间坐标;优化。
Pattern Recognition; Visualization; Multivariate Data; Graphical Representation; Geometric Algebra; Subspace Coordinates; Optimization.
改进的多用户检测算法将子空间算法和约束优化算法结合起来,在强干扰信道中能有效提高系统性能。
This algorithm joint the constrained optimization algorithm and subspace algorithm, can improve the system performance in strong interfere environment.
首先我们放松了对不确定集的限制,把鲁棒线性最优化拓展到凸锥和子空间平移的交的不确定集的情形。
First, we relax the uncertainty set to be intersection of a closed convex cone and the translation of an affine subspace.
首先我们放松了对不确定集的限制,把鲁棒线性最优化拓展到凸锥和子空间平移的交的不确定集的情形。
First, we relax the uncertainty set to be intersection of a closed convex cone and the translation of an affine subspace.
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