A new linear iterative algorithm for estimating the fundamental matrix is presented.
提出了一种新的估计基本矩阵的线性迭代算法。
In this paper, a parallel iterative algorithm for linear equations is given by approximating inverse of a matrix.
文章利用近似逆矩阵构造了一类求解线性方程组的并行迭代算法。
This paper proposes a new method for improving the consistency of judgement matrix and gives a simple practical iterative algorithm.
提出了判断矩阵一致性修正的一种新方法，并给出了其简洁、实用的迭代算法。
Then, an algorithm based on iterative linear matrix inequality (ILMI) was proposed to compute the static output feedback gain of continuous uncertain T-S closed-loop fuzzy system.
为了计算连续不确定T - S闭环模糊系统的静态输出反馈增益，提出了基于迭代线性矩阵不等式的算法。
The algorithm relaxed the restricted conditions by fuzzing the element of partition matrix in the iterative process.
算法将迭代过程中的分区矩阵“元素化”放宽了限制条件。
The corner detection algorithm, avoidance of the degeneration problem and the fundamental matrix iterative optimization algorithm based on rank-2 constraint were introduced.
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 linearly constrained minimum variance (LCMV) algorithm based on the power inversion array and its iterative formula are deduced in the paper, which avoids the complexities of matrix inversion.
详细推导了基于功率倒置阵列的线性约束最小方差（LCMV）算法及其递推公式，避免了矩阵求逆的复杂运算。
The MAOR iterative algorithm is used to solve an implicit linear complementarity problem with L-matrix.
用MAOR迭代算法求解一类L -矩阵的隐线性互补问题。
This paper presents a recursive parameter identification algorithm for the system. Compared with the iterative algorithm, it can avoid the matrix inversion and can be operated on-line.
本文给出这类系统的参数递推辨识算法，克服了迭代算法不能在线运行、需反复矩阵求逆的不足。
The iterative algorithm of digital reconstruction of coding imaging is studied by matrix analysis.
用矩阵方法研究数字重建编码成像的迭代方法。
An iterative algorithm is presented to solve the Bilinear Matrix Inequalities (BMI) in the proposed results.
同时给出了求解文中双线性矩阵不等式(BMI)的巡回算法。
An iterative algorithm is presented to solve the Bilinear Matrix Inequalities (BMI) in the proposed results.
同时给出了求解文中双线性矩阵不等式(BMI)的巡回算法。
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