• 本文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.

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  • 实现基于响应面的并子空间优化过程(CSSO - RS),关键在于如何高效率高精度的构造近似响应

    A key technique of Concurrent SubSpace Optimization-Response Space (CSSO-RS) is to construct responsive surfaces effectively and accurately.

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  • 结合牛顿子空间迭代的思想,给出了一种求解大型优化问题方法

    An optimization method for large scale problems which combines Newton method and Interated-Subspace method is proposed.

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  • 通过OFDM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动态lms算法全局优化算法。

    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.

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  • 算法通过整个搜索空间分割成若干子空间这些子空间利用嵌入搜索算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.

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  • 使用仿射变换技术信赖空间算法线性不等式约束非线性优化问题

    We present an affine scaling trust region algorithm with interior back - tracking and subspace techniques for nonlinear optimizations subject to linear inequality constraints.

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  • 给出大规模约束优化空间截断牛顿法。

    A subspace truncated-Newton algorithm for large-scale bound constrained optimization is proposed.

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  • 模式识别可视化多元数据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.

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  • 改进的多用户检测算法空间算法约束优化算法结合起来,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.

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  • 首先我们放松了对不确定限制,把鲁棒线性优化拓展到凸子空间平移的的不确定集的情形。

    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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  • 首先我们放松了对不确定限制,把鲁棒线性优化拓展到凸子空间平移的的不确定集的情形。

    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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