Decomposition Topics in Large-Scale Optimization

这项研究的目标是发展有效的 大规模优化模型的算法。 发展 包括理论和计算研究， 分解技术，允许将问题划分为更多的 易处理的子问题 特别令人感兴趣的是大型 拥塞或其他非线性很重要的系统。 所研究的方法适用于许多模型， 在运营研究中出现，如运输规划，路线规划， 以及调度、制造和物流。 它也适用 其他领域开发的电气和物理系统模型 工程学科和科学。

This research has as its objective the development of effective algorithms for large-scale optimization models. The development includes both theoretical and computational investigation of decomposition techniques which allow division of the problem into more tractable subproblems. Of particular interest are models of large systems in which congestion or other nonlinearities are important. The methodology being investigated is applicable to many models that arise in operations research such as transportation planning, routing and scheduling, manufacturing, and logistics. It is also applicable to models of electrical and physical systems developed in other engineering disciplines and in the sciences.