A new improved solution to global optimization over multivariate polynomials: Mathematical principles, numerical methods and selected applications

多元多项式全局优化的新改进解决方案：数学原理、数值方法和选定的应用

• 批准号: DP1092508
• 负责人: Prof Vaithilingam Jeyakumar
• 金额: $ 19.28万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP1092508
• 关键词: new; improved; solution; global; optimization

Optimization technology is becoming increasingly beneficial to modern Australian society in areas such as wireless communications and manufacturing by improving performance or reducing costs. Our research will produce enhanced global optimization methodologies, capable of solving a wider range of problems that are currently too complex to be solved. Since global optimization technology is used in many scientific disciplines and modern industrial applications, the research will make many Australian science and industries more competitive. Our research also represents a program of high profile international collaborations that will improve Australia's ability to produce internationally competitive optimization technology.

优化技术通过提高绩效或降低成本来对现代澳大利亚社会越来越有益于现代澳大利亚社会。我们的研究将产生增强的全球优化方法，能够解决目前太复杂而无法解决的更广泛的问题。由于全球优化技术用于许多科学学科和现代工业应用，因此该研究将使许多澳大利亚科学和行业更具竞争力。我们的研究还代表了一个备受瞩目的国际合作计划，该计划将提高澳大利亚生产国际竞争优化技术的能力。