Parallel processing for generalized eigenvalue problem is one of the fundamental problem in computation science and engineer- ing.

Parallel computation for the nonsymmetric generalized eigenvalue problem is one of the fundamental problems in large scale engineering computation.

This paper studies a cascadic multigrid method for generalized eigenvalue problems,which utilizes the results in one kind of meshes and takes interpolation method to obtain new eigenvectors in the next meshes.

In this paper,some Gerschgorin theorems on the estimation of generalized eigenvalues are proved.

Finite element approach for structural dynamic analysis using generalized eigenvalue-based neurocomputing;

The inverse generalized eigenvalue problems of symmetric tridiagonal matrices;

Inverse generalized eigenvalue problem for generalized antireflexive matrices;

In this paper generalized inverse eigenvalue problems of bi-anti-symmetric matrix and optimal approximation are discussed;the expression of general solution and optimal approximation solution are attained,and an arithmetic and a numerical examples are given.

The general solution and the optimal approximation solution for the generalized inverse eigenvalue problem of the anti-symmetric and orth-anti-symmetric matrix are studied,the expression of the solution is given.

Parallel block Jacobi-Davidson method for solving large generalized eigenvalue problems and it s application;

Subspace method is an efficient tool for generalized eigenvalue problem in scientific and engineering computing.