A novel and efficient approach for optimisation involving iterative solvers

涉及迭代求解器的计算代价高昂的模拟越来越多地在工业中用于评估产品和过程的性能。重复使用这种模拟对于确定最佳解决方案是必要的。即使有了今天的计算能力，许多这样的任务在计算上仍然是令人望而却步的。这个项目提出了一种新的方法来解决涉及有限计算预算的迭代求解器的优化问题。参与产品和工艺设计的广泛行业将从这项独特的技术创新中获得显著的竞争优势。此外，这项技术对于发现和理解复杂的自然现象将是无价的。

Computationally expensive simulations involving iterative solvers are increasingly being used in industry to assess performance of products and processes. Repeated use of such simulations is necessary to identify optimum solutions. Even with today's computing power, many such tasks remain computationally prohibitive. This project presents a novel approach to solve optimisation problems involving iterative solvers with limited computing budget. A wide range of industries involved in product and process design would gain a significant competitive advantage from this unique technical innovation. In addition, this technology will be invaluable to uncover and understand complex natural phenomena.