Efficient Algorithms for Large Scale Dynamical Systems

该基金将为大型动力系统中的关键问题开发新的高性能数值算法和代码。这包括将模型减少到更少的自由度，更好的特征值求解器和并行实现。这个项目的应用范围从控制系统到电力系统、电路模拟、地球科学（气象学、水文学）和滤波。这是普渡大学的Ahmed Sameh与CCR-9912388的联合项目。

This grant will develop novel high performance numerical algorithms and codes for critical problems in large dynamical systems. This includes reducing models to fewer degrees of freedom, better eigenvalue solvers, and parallel implementations. This project has applications ranging from control systems to electric power systems, circuit simulations, earth sciences (meterology, hydrology), and filtering.This is a joint project together with CCR-9912388 by Ahmed Sameh of Purdue University.