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 stationary condition and stationary queue length distribution are given in terms of matrix iterative solution. Block probability and block time probability distribution are given.
给出了排队平稳条件以及用矩阵迭代法得到了平稳队长分布和受阻概率分布。
Basied on the iterative method in this paper, a calculating formula of matrix iteration was derived.
本文在迭代法基础上推导出矩阵迭代法的计算公式。
By using the iterative idea of mathematics of computation, we improve the judgement matrix in analytic hierarchy process.
通过引入计算数学迭代的思想，对层次分析法中的判断矩阵进行调整改进。
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。
Results show that iterative refinement using the SVD can improve regression coefficient estimates in the cases where the design matrix is highly collinear.
结果表明，在设计矩阵高度共线性时，用奇异值分解的迭代加细可以改进回归系数的估计。
By the linear theory in the max-algebra, it presents the block network iterative method which is independent of the dimension of system matrix.
用极大代数意义下的线性系统理论提出了一种与系统矩阵维数无关的，模块网络迭代法。
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。
This article is intended to give a new iterative method to calculate the combined stiffness matrix in the infinite element method.
本文对无限单元法中组合刚度矩阵的计算给出了一个新的迭代方法。
The iterative algorithms in C language were given, which used direct data replacement to reduce the dimension of matrix and saved the storage space.
在迭代算法中，采用直接数据置换降低矩阵维数，节省了存储空间，提高了运算速度。
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 exponential matrix function exhibition series was applied to solve the static problem; adopt the state space iterative method was applied to solve dynamic problem.
对静力问题，将指数矩阵函数展成级数来求解；对动力问题，采用状态空间迭代法来求解。
The response matrix technique is used, which gives a fast-running scheme for the iterative solution of the nodal diffusion equations.
此外，将响应矩阵技术应用于迭代求解过程，使得该方法具有较高的计算效率。
A upper bound with consistent matrix norm and the estimate for error of AOR iterative method for solving linear equation system, which based on the doubly diagonal dominance, are presented.
在双严格占优矩阵条件下，给出了相容矩阵范数的一个上界，并以此为基础，得到了线性方程组求解时的AOR迭代法的误差估计式。
Then the direct centrosymmetric solutions were obtained by applying the iterative method in finite steps an arbitrary initializing centrosymmetric matrix.
使用该方法，对任意给定的初始中心对称矩阵都可在有限步内迭代求出它的中心对称最小二乘解。
The response matrix technique was used for the iterative solution of the nodal diffusion equations, which greatly improves the computational efficiency of this method.
将响应矩阵技术应用于迭代求解过程，使得该方法具有较高的计算效率。
We discussed the problems of convergence by norm of a matrix, obtaining the formulation of error estimate and the conditions of convergence in requesting the solutions by iterative method.
利用矩阵的范数讨论了矩阵的收敛问题，得出了迭代法求解时的收敛条件及误差估计。
Multilevel fast multipole method is used to fast calculate the matrix-vector product when we solve the linear system by iterative method.
分层快速多极算法被用来加速用迭代法求解线性方程组时的矩阵向量乘积的运算。
The main advantage of the proposed method is: the iterative matrix is symmetric and positive definite at ea ch iteration.
该方法的主要优点在于其迭代矩阵总保持对称正定。
Linear equations of sparse matrix are solved by Biconjugate Gradients Stabilized Method and nonlinear algebraic equations are solved by parameter-regulated iterative procedures.
稳定化双共轭梯度法用于求解稀疏线性方程组，可调节参数的修正迭代法用于求解非线性代数方程组。
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。
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。
In this paper, iterative method in groups for solving these three matrix equations is studied when the equation has a unique solution.
本文讨论这三类线性矩阵方程惟一解的分组迭代解法。对三类矩阵方程的几类迭代格式的分组迭代解法，主要解决了如下几个问题。
This method can obtain the designed result of fault-tolerant controller by using the linear matrix inequality, and avoids the iterative process of the methods in existence.
该方法利用线性矩阵不等式可方便地得到容错控制器设计结果，避免了现有方法需要重复试验的过程。
The method ICCG. is one of the best iterative method for solving the system of linear algebraic equations, but it can only be applied to the symmetric and positive definite coefficient matrix.
ICCG方法是解线性代数方程组较为理想的方法，但它仅适用于具有正定对称的系数阵。
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 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 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。
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