在分析多体动力学仿真计算中广泛使用的增广法基础上，提出了一种基于稀疏矩阵技术的改进算法。
On the basis of analysis on augmentation approach widely used in the multibody dynamic simulation, an improved algorithm based on sparse matrix technique was proposed.
在机动加速度“当前”统计自适应卡尔曼滤波算法的基础上，引入了基于Q - R矩阵分解的自适应卡尔曼滤波算法。
Based on the algorithm of maneuvering acceleration current statistical model adaptive filtering, the adaptive kalman filtering algorithm based on QR matrix decomposition is presented in this paper.
给出了角点检测算法、退化问题的避免措施以及基于秩2约束的基础矩阵迭代优化求解的方法。
The corner detection algorithm, avoidance of the degeneration problem and the fundamental matrix iterative optimization algorithm based on rank-2 constraint were introduced.
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