首页> 外文期刊>SIAM Journal on Numerical Analysis >A gradient method approach to optimization-based multidisciplinary simulations and nonoverlapping domain decomposition algorithms
【24h】

A gradient method approach to optimization-based multidisciplinary simulations and nonoverlapping domain decomposition algorithms

机译:基于梯度的方法,用于基于优化的多学科仿真和非重叠域分解算法

获取原文
获取原文并翻译 | 示例
           

摘要

It has been shown recently that optimization-based nonoverlapping domain decomposition algorithms are connected to many well-known algorithms. Using a gradient-type iterative strategy for the optimization problem, we present further discussion on how to develop various algorithms that can integrate subdomain solvers into a solver for the problem in the whole domain. In particular, the algorithms we discuss can be used to develop efficient solvers of multidisciplinary problems which are constructed using existing subdomain solvers without the need for making changes in the latter. [References: 40]
机译:最近已经表明,基于优化的非重叠域分解算法与许多众所周知的算法有关。对于优化问题,使用梯度类型的迭代策略,我们将进一步讨论如何开发各种算法,这些算法可以将子域求解器集成到整个域的问题求解器中。特别是,我们讨论的算法可用于开发有效的多学科问题求解器,这些求解器使用现有的子域求解器构造,而无需在后者中进行更改。 [参考:40]

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号