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Parallel algorithms for the cholesky factor of generalized lyapunov equations

机译:广义Lyapunov方程的Cholesky因子的并行算法

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In this work the solution of generalized Lyapunov equations using an extension of Hammarling's method is described. Lyapunov equations are used in multiple applications, e.g. model reduction in linear control problems. The sequential algorithms have been implemented making use of standard linear algebra libraries BLAS and LAPACK, and they include block versions. In the parallel algorithms, libraries PBLAS and ScaLAPACK have been used. Experimental results show good performances. A cluster of PC's connected via Fast Ethernet under Linux operating system has been used to obtain the experimental results. Copyright direct C 1998 IFAC
机译:在这项工作中,描述了使用突出方法的延伸的广义Lyapunov方程的解决方案。 Lyapunov方程式用于多种应用中,例如,线性控制问题的模型降低。已经实现了使用标准的线性代数库Blas和Lapack的顺序算法,并且它们包括块版本。在并行算法中,已经使用了库PBLAS和缩写。实验结果表现出良好的表现。通过Linux操作系统下通过快速以太网连接的PC集群已用于获得实验结果。版权所有Digon C 1998 IFAC

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