2) generalized eigenvalue problem
广义特征值问题
1.
Parallel block Jacobi-Davidson method for solving large generalized eigenvalue problems and it s application;
广义特征值问题的并行块Jacobi-Davidson方法及应用
2.
Subspace method is an efficient tool for generalized eigenvalue problem in scientific and engineering computing.
子空间迭代法是科学与工程计算中求解广义特征值问题的有效方法 ,针对向量机和共享内存的多处理机 ,前人已成功地作了并行处理。
3) generalized eigenproblem
广义特征值问题
1.
The multisection method for solving the generalized eigenproblem applied significantly in many science and engineering domains has not been studied.
在科学与工程众多领域内有着重要应用的广义特征值问题的多分法，因难度大等方面原因尚无人研究。
2.
The parallel algorithm of generalized eigenproblems applied significantly to the structural analysis domain has been studied little so far, because this study is extremely difficult, and needs the support of advanced computing circumstances for large scale problems.
结构分析领域有着重要应用的广义特征值问题的并行算法，因为难度很大，且当问题的规模较大时还必须有先进的计算环境支持，所以迄今研究得很少。
3.
In this paper, by way of EBE strategy and PCG method, we have developed an EBE-Lanczos method for generalized eigenproblems, in which all of computations of Lanczos method are performed on the element level.
本文利用ＥＢＥ策略和ＰＣＧ法，将广义特征值问题Ｌａｎｃｚｏｓ法中各步的计算都单元化，从而避免了总刚度矩阵的组集而大大节省了存储量。
4) generalized eigenvalue problems
广义特征值问题
1.
It is proved that the quadratic matrix inequality can be solved directly via the generalized eigenvalue problems.
研究具有无穷远零点的奇异Ｈ∞控制问题的二次矩阵不等式的可解性，证明了通过求解广义特征值问题，可以直接求得二次矩阵不等式的解，从而简化了原需通过复杂的系统分解和变换来求解二次矩阵不等式的方法。
5) nonsymmetric generalized eigenvalue problems
非对称广义特征值问题
1.
Sensitivity analysis of multiple eigenvalues of nonsymmetric generalized eigenvalue problems;
非对称广义特征值问题重特征值的灵敏度分析
6) generalized eigenvalue problem(GEVP)
广义特征值问题(GEVP)
补充资料：广义特征值问题数值解法
见代数特征值问题数值解法。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条