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MODIFIED PARALLEL ROSENBROCK METHODS FOR STIFF DIFFERENTIAL EQUATIONS
作者姓名:Xue-nian  Cao  Shou-fu  Li
作者单位:Xue-nian Cao Shou-fu Li (Institute for Computational and Applied Mathematics,Xiangtan University,Xiangtan 411105,China) De-gui Liu (Beijing Institute of Computer Application and Simulation Technology,Beijing 100854,China)
基金项目:the National High-Tech ICF Committee in China.
摘    要:1. IntroductionIn many fields of science and engineering technology, we often meet with stiff ordinarydifferential equations. In order to solve these systems, we have to use the implicit methods,which lneans that nonlinear implicit equations must be solve…


MODIFIED PARALLEL ROSENBROCK METHODS FOR STIFF DIFFERENTIAL EQUATIONS
Xue-nian Cao Shou-fu Li.MODIFIED PARALLEL ROSENBROCK METHODS FOR STIFF DIFFERENTIAL EQUATIONS[J].Journal of Computational Mathematics,2002(1).
Authors:Xue-nian Cao Shou-fu Li
Abstract:To raise the efficiency of Rosenbrock methods Chen Lirong and Liu Degui have con- structed the parallel Rosenbrock methods in 1995, which are written as PRMs for short. In this paper we present a class of modified parallel Rosenbrock methods which possesses more free parameters to improve further the various properties of the methods and will be similarly written as MPROWs. Convergence and stability of MPROWs are discussed. Es- pecially, by choosing free parameters appropriately, we search out the practically optimal 2-stage 3rd-order and 3-stage 4th-order MPROWs, which are all A-stable and have small error constants. Theoretical analysis and numerical experiments show that for solving stiff problems the MPROWs searched out in the present paper are much more efficient than the existing parallel and sequential methods of the same type and same order mentioned above.
Keywords:Numerical analysis  Stiff ordinary differential equations  Rosenbrock methods  Parallel algorithms  
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