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Iterative methods for simulation of coupled engineering problems

机译:耦合工程问题模拟的迭代方法

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In this work we intend to review the state-of-the-art of iterative methods for solving large sparse systems such as arising in coupled engineering problems using finite difference and finite element approximations. The solution of practical problems of mathematical physics ultimately relies on solving a system of partial derivative equations and this is only achieved by iterative numerical methods. Iterative solution methods proceed by adding successive corrections to some arbitrary initial approximation, but unfortunately these methods are very sensitive to specific features of the system to be solved. A procedure call preconditioning is possible but is not always used. We limit our presentation to a large class of systems defined by elliptic-parabolic mathematical models that represents the basis of the electromagnetic-thermal problems. The numerical models are obtained by the finite differences and finite element methods. The motivation is simple: for parabolic problems we use an explicit scheme for temporal discretization, and for elliptic problem we use the finite element method. As target example we use an electromagnetic-thermal coupled problem from electrical engineering.
机译:在这项工作中,我们打算审查用于解决大型稀疏系统的迭代方法,例如使用有限差异和有限元近似在耦合工程问题中产生的迭代方法。数学物理的实际问题的解决方案最终依赖于解决部分衍生方程的系统,并且这仅通过迭代数值方法实现。迭代解决方法通过将连续校正添加到一些任意初始近似,但不幸的是,这些方法对要解决的系统的特定特征非常敏感。一个过程调用预处理是可能的,但并不总是使用。我们将演示文稿限制为由椭圆抛物型数学模型定义的大类系统,该模型代表了电磁 - 热问题的基础。数值模型是通过有限差异和有限元方法获得的。动机很简单:对于抛物面问题,我们使用明确的方案进行时间离散化,对于椭圆问题,我们使用有限元方法。作为目标示例,我们使用电气工程的电磁热耦合问题。

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