本文考虑一类阻尼陀螺系统特征值反问题。
An inverse eigenvalue problem for damped gyroscopic systems is considered.
约束条件不同，则得到不同的特征值反问题。
When the constraint conditions are different, we can get a variety of inverse eigenvalue problems.
讨论实完全反对称矩阵的一个特征值反问题。
In this paper, we present an inverse eigenvalue problem for real bi-antisymmetric matrices.
振动系统动力学设计被抽象为高维广义非线性特征值反问题。
The dynamic design of vibration system is considered as an inverse problem for nonlinear generalized eigenvalue in this paper.
本文主要讨论含参变量的实对称矩阵特征值反问题数值解法。
This paper mainly discusses the formulation and the numerical methods of real symmetrical matrix inverse algebraic eigenvalue.
计算结果及分析表明它是求解一切特征值反问题的有效方法。
The method, which combines the advantages of artificial neural network and genetic algorithm, is an universal one of solving inverse eigenvalue problem.
研究了解特征值反问题的等谱流方法及其李群算法，我们取的李群是正交群。
The isospectral flows method for solving inverse the eigenvalues problem and its lie group method are studied in this paper, while the corresponding lie group is orthogonal group.
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。
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.
本文研究了四元数量子力学中一类要求其解是正规或可对角化四元数矩阵的特征值反问题。
One kind of inverse eigenvalue problems, whose solutions are required to be normal or diagonalizable matrices, is investigated in quaternionic quantum mechanics.
包括常义特征值反问题和广义征值反问题，这类问题包括加法和乘法经典代数特征值反问题。
This includes normal and generalized inverse eigenvalue problem which includes the additive, multiplicative classical inverse eigenvalue problems as special cases.
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。
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.
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