- 更多网络例句与特征行列式相关的网络例句 [注：此内容来源于网络，仅供参考]
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The common method, that all strong-correlation terms of the model are eliminated, can bring the loss in the engineering application, so the new method is proposed that the identified model reserves some correlation. The augmented matrix A is constructed by the outputΔW and the matrix S. The"determinating order based on ratio of determinant"is brought out to screen the strong-correlation terms in the structure identification. The latent root estimation is improved in screening the eigenvalues and eigenvectors. Thus the estimation precision is improved greatly.The consistence check of guidance instrument error coefficients of flight test and ground test is the purpose of flight experiment. The causes of inconsistency of the two models are analyzed. The hypothesis test of linear regression model based on F statistics is proposed to check the consistence.Finally, the instability of error coefficients is probably caused by the change of the flight environments, therefore, the relation between the error coefficients and flight environment is analyzed. The approach is presented to identify SINS guidance instrument error models and compensate the error in the segmented sections corresponding to the change of vertical acceleration of aircraft.
在结构辨识中，常用的方法由于将模型中的强相关项全部剔除而给工程应用带来损失，因此，本文提出了新的有益思想，即在保留一定相关性的基础上进行辨识：将输出向量ΔW与环境函数矩阵S构成增广矩阵A，然后采用"比定阶行列式"来剔除相关向量的方法，这样既可以尽可能多地保留了对落点影响大的强相关参数，又可以对落点影响小的强相关参数给予剔除；在参数估计中，改进了特征根估计中特征根和特征向量的筛选方法，提出"近零"准则，从而大大提高了参数估计的精度；再者，鉴于天地模型"一致性"检验是飞行试验和SINS制导工具误差系数分离的主要目的，因此，本文又深入分析了造成天地模型不一致的原因，提出了采用基于F统计的线性回归模型假设检验方法来进行捷联制导工具误差模型的天地"一致性"检验；最后，鉴于飞行环境剧烈变化可能会对惯性仪表误差系数稳定性带来一定的影响，因此本文深入地分析了SINS制导工具误差系数与外界环境的关系，提出了基于过载变化大小的分段辨识和分段实时补偿的算法。
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There are many methods to compute determinant, but the different methods, in the actual computation process, only suit for the different characteristic determinant. The present paper mainly studies 14 kinds the most common and also the most important methods.
计算行列式的方法非常的多，在实际的计算过程中不同的方法往往适合于不同特征的行列式，本论文主要研究其中的十四种最常用的也是最重要的方法。
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The second part is the computational methods of the determinant: This part is core part in the full text, and mainly studied 14 kinds computational methods which nearly covered each kind of the characteristic of the determinant computation, including the definition method, the triangle method, Canada method and so on.
第二部分为行列式的计算方法：这一部分是全文的核心部分，主要研究了几乎覆盖各种特征的行列式计算的十四种重要方法，包括定义法、三角形法、加边法等，它们为我们计算行列式提供了方便快捷的途径。
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When the determinant is expanded, it produces a polynomial, called the characteristic polynomial
当行列式展开后，得到一个多项式，叫它为特征多项式。
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Summary: The concept of matrix and its determinant computing, matrix determinant, matrix sub-block with the elementary transformation, invertible matrix, rank of matrix; vector and its computation, the linear relationship between vector, vector group of rank; linear equations of the nature and structure of linear equations; matrix eigenvalue and eigenvector, similar to matrix and matrix diagonalization conditions, the standard quadratic form with the normal forms, quadratic and symmetric matrix There are qualitative.
内容提要：行列式矩阵的概念及其运算，方阵的行列式，矩阵的分块与初等变换，可逆矩阵，矩阵的秩；向量及其运算，向量间的线性关系，向量组的秩；线性方程组的性质与结构，线性方程组的求解；矩阵的特征值与特征向量，相似矩阵与矩阵可对角化条件，二次型的标准形与规范形，二次型和对称阵的有定性。
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Determinant Research Method is one of the effective methods for calculating the generalized eigenvalues and corresponding eigenvectors of a large sparse matrix. Its theoretical foundation is that for a symmetric matrix the leading principal minors of the eigenmatrix form a Sturm Sequence.
"行列式查找法"是计算大型稀疏矩阵广义特征值和特征向量的有效方法之一，其理论基础是对称矩阵的各阶顺序主子阵的特征行列式形成Sturm序列。
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The main topics are: determinants, matrices, rank of a matrix, vector spaces, linear equations, eigenvalues and eigenvectors, quadratics.
本课程的基本内容有行列式、矩阵、向量空间、线性方程组、矩阵的特征值与特征向量、二次型。
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The main topics are: determinants, matrices, rank of a matrix, linear equations, eigenvalues and eigenvectors.
本课程的基本内容有行列式、矩阵、线性方程组、矩阵的特征值与特征向量。
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To set the coefficient determinant for zero to solve the characteristic equation of one-layered plate, and to calculate the dispersion equation of any layered plates with recursive matrix method.
层状板当上下表面为自由边界面时板中将会产生板波，文中通过求解行列式和采用传递矩阵法分别得到了单层板和任意层板的特征方程，研究了单层板和双层板中板波的频散特性和板中位移和应力的分布，讨论了板波的动力响应，对测点的布置有一定的指导意义。
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The algorithm in this paper possesses at least one of the advantages such as fewer operating, less memory capacity, higher precision or programming simplified, in compar with the current methods.
本文讨论三对角线性方程组的解耦算法，矩阵的LR-'分解，求行列式，Jacobi矩阵的特征值与特征向量的关系以及三对角阵求逆等方
- 更多网络解释与特征行列式相关的网络解释 [注：此内容来源于网络，仅供参考]
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group character：群特征标;群指标
成群改变 group change | 群特征标;群指标 group character | 群行列式 group determinant
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characteristic determinant：特征行列式
characteristic curve 特征曲线 | characteristic determinant 特征行列式 | characteristic dimension 特征尺寸
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compatibility condition：兼容条件
compatibility atibility characteristic 兼容性特征 | compatibility condition 兼容条件 | compatibility determinant 相容行列式
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infinitesimality condition：无穷小条件
无穷小特征[标]|infinitesimal character | 无穷小条件|infinitesimality condition | 无穷行列式|infinite determinant