A key technique of Concurrent SubSpace Optimization-Response Space (CSSO-RS) is to construct responsive surfaces effectively and accurately.
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。
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.
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。
An optimization method for large scale problems which combines Newton method and Interated-Subspace method is proposed.
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。
A subspace truncated-Newton algorithm for large-scale bound constrained optimization is proposed.
给出了大规模界约束优化的一个子空间截断牛顿法。
This algorithm joint the constrained optimization algorithm and subspace algorithm, can improve the system performance in strong interfere environment.
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。
The design of complex system can be non-hierarchically decomposed into several parallel subspace design tasks, and the multidisciplinary optimization can be considered as the game of the subspaces.
复杂系统的设计问题可以非层次分解为并行的多个子空间优化设计问题。
Pattern Recognition; Visualization; Multivariate Data; Graphical Representation; Geometric Algebra; Subspace Coordinates; Optimization.
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.
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。
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