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triangular factorization相关的网络例句

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与 triangular factorization 相关的网络例句 [注:此内容来源于网络,仅供参考]

An integral square performance criterion containing tracking error and control energy was defined. Spectral factorization to minimizing the performance index for different systems was applied and corresponding parameter tuning methods of PID controller was derived, which could be used to obtain optimal control performance under control energy constraint.

定义了一个包含跟踪误差和控制能量在内的积分平方性能指标,针对不同系统运用谱分解的方法最小化该性能指标,从而导出相应的PID控制器的参数整定方法,可使系统在控制能量约束条件下具有最优的控制性能。

Singular value decomposition and Least Squares QR factorization are two basic methods for a linear equation group in seismic tomography.

奇异值分解法和最小平方QR分解法是求解反演成像中线性方程组的两种基本解法。

An iterative factorization method based on linear subspace for projective reconstruction is presented in the paper. It relies on the facts that the rows in the matrix including all the image points span the same linear subspace as the rows in the matrix including space points and the fact that any basis of the subspace can be regarded as projective reconstruction. The projective reconstruction and the depth factors are obtained based on linear iteration.

摘要该文提出了一种基于子空间线性迭代的射影重建方法,该方法利用所有的图像序列构成的行向量生成的线性子空间之和与射影重建结构点构成的行向量生成的子空间是同一线性子空间及在该子空间中任何一个基底都可以作为射影重建的特性,线性迭代地求取射影重建及图像深度因子。

Based on the property of OPF problem, construct appropriate linear programming model to avoid dimension expended, apply sparsity technique and construct the same triangle factorization matrix of IP method to reduce the calculation burden.

本文从众多文献的研究中获得解决以下问题的方案:如何从内点算法中判断基变量;如何从内点法中得到与单纯形表相同的信息以及如何根据内点法的乘子变量形成割平面。

Based on ear recognition, an improved NMFSC(Nonnegative Matrix Factorization with Sparseness Constraints) method was proposed by imposing an additional constraint on the objective function of NMFSC, which could capture the semantic relations of coefficient matrix as orthogonal as possible. The interated rules to solve the objective function with the constraint were presented, and its convergence was proved.

针对人耳识别问题,提出了一种改进的稀疏性受限的非负矩阵因子方法,通过增加一个使系数矩阵尽可能正交的约束条件来定义原目标函数,给出求解该目标函数的迭代规则,并证明迭代规则的收敛性。

Based on ear recognition, an improved NMFSC (Non-negative Matrix Factorization with Sparseness Constraints) method was proposed by imposing an additional constraint on the objective function of NMFSC, which could capture the semantic relations of coefficient matrix as orthogonal as possible. The interated rules to solve the objective function with the constraint were presented, and its convergence was proved.

针对人耳识别问题,提出了一种改进的稀疏性受限的非负矩阵因子方法,通过增加一个使系数矩阵尽可能正交的约束条件来定义原目标函数,给出求解该目标函数的迭代规则,并证明迭代规则的收敛性。

Then we apply it to a C-module V, where V is a n-dimensional vector space and the operator from C×V to V is defined by a linear transformation T of V, then we get a unique factorization of V and a right basis under which the transformation matrix of T is T's Jordan canonical form.

然后把它应用到一个具体的C-模V,其中V是n维线性空间,C×V到V的映射由V中的一个线性变换T定义,从而得到V的一个唯一分解,再结合线性代数有关知识给出V的一组基,T在这组基下的变换矩阵恰为T的Jordan标准形。

It only takes quadratic bit complexity for the cryptosystem to perform an encryption/decryption operation.(6) A public-key cryptosystem is proposed by using a special combinatorial problem defined over the matrix ring. The security of the scheme is related to but not directly dependent upon the integer factorization problem.

6使用矩阵环上的一个特殊的组合问题构造了一个公钥加密算法,其安全性与整数分解问题有关,但并不直接依赖于整数分解问题,而是依赖于一类特殊的矩阵组合问题。

In chapter 4, the factorization and cascade decomposition for first order singular systems have been discussed, the if and only if conditions have been obtained, the invariaty of minimality under factoiization and cascade decomposition has been proved.

第四章,讨论了一阶奇异系统的因子分解和级联分解,给出了其具有上述分解的充要条件,证明了极小性在分解下的不变性;对具有一阶奇异系统实现的有理函数矩阵,给出了判定其为正实函数的充要条件,推广了著名的正实引理。

The second section studies general Moore-Penrose inverse of morphism with general factorization, and gives some necessary and sufficient conditions for their existence and expression.

第二部分我们研究了具有广义分解的态射的广义Moore-Penrose逆,得到了他们存在的充分和必要条件以及他们的表达式。

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