An inverse eigenvalue problem for damped gyroscopic systems is considered.
本文考虑一类阻尼陀螺系统特征值反问题。
In this paper, we present an inverse eigenvalue problem for real bi-antisymmetric matrices.
讨论实完全反对称矩阵的一个特征值反问题。
The optimal approximate solution of this inverse eigenvalue problem also was given by means of the polar decomposition of matrices.
利用矩阵的极分解，导出了逆特征值问题的最佳逼近解。
Based on model design and rotary wing design of helicopters, this paper introduces a multi targets inverse eigenvalue problem and gives a parallel method.
由模型设计和直升机旋翼设计问题出发，归纳出一类多目标逆特征值问题并提出一种适合在并行计算机上实现的并行算法。
Combining with the optimality criterion method and the bi-factor algorithm, the inverse eigenvalue problem for optimal Parameters design of elastic mechanisms is solved effectively.
采用最优性准则方法，给合结构优化设计中的双因子算法，有效地解决了给定弹性机构某几阶固有频率时设计构件截面参数这类逆特征值问题。
In this paper, a kind of inverse eigenvalue problem which is the reconstruction of real symmetric five-diagonal matrix by five eigenvalues and corresponding eigenvectors is proposed.
本文讨论了一类由五个特征值和相应特征向量构造实对称五对角矩阵的特征值反问题。
From given eigenvalues and eigenvectors, the inverse eigenvalue problem of symmetric ortho-symmetric positive semi-definite matrices and its optimal approximate problem were considered.
对给定的特征值和对应的特征向量，提出了对称正交对称半正定矩阵逆特征值问题及最佳逼近问题。
In this paper, we consider the best approximation of a matrix under a given linear restriction with some fixed elements. This result can be apply to solving a class matrix inverse eigenvalue problem.
本文研究具有某些固定元素的矩阵在线性约束下的最佳逼近，其结果可以用于解一类矩阵反特征值问题。
In this paper, several artificial neural network based models of solving inverse eigenvalue problem and their characters are studied. These models are direct, indirect and optimization inverse models.
研究了特征值反问题求解的几种神经网络模型：直接逆模型，间接逆模型，优化方法模型，指出了各种方法的应用范围。
In this paper, several artificial neural network based models of solving inverse eigenvalue problem and their characters are studied. These models are direct, indirect and optimization inverse models.
研究了特征值反问题求解的几种神经网络模型：直接逆模型，间接逆模型，优化方法模型，指出了各种方法的应用范围。
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