Vectorized EigenValue Solver (VES)

General Description

Most buckling dynamic analysis produce a sparse set of stiffness and mass system of equations. Solving large linear system of equations requires an efficient and robust eigen-solver. Lancos method tends to be more robust and faster than subspace methods. Lancos sparse solvers are the solution for solving large scale dynamic problems.

Specifications:

VES is a general purpose sparse eigen equation solver. It is a robust and efficient sparse solver. It uses minimum memory when solving the linear system of equations. Memory is dynamically allocated within the solver, thus the user does not have to worry about allocation of memory . It is packaged so that it is easy to use and implement within any code. Users and developers can use it as a black box. VES uses the sparse solver PVSS or VSS for solving the linear system of equations. The interface for the eigen solver is simple.

VES has been implemented on many computer platforms such as: IBM, SGI, CRAY, SUN, HP, DEC, and PC's.

Limitations:

VES can solve symmetric definite and indefinite linear system of equations using real and complex arithmetic's.

Future release

Work is underway to develop new reordering techniques for the solver.

Calling VES Library

Matrix Format

Environment Variables

X-Window Interface