Numerical Computing on Evolving Domains

演化领域的数值计算

• 批准号: RGPIN-2016-03757
• 负责人: Macdonald, Colin
• 金额: $ 1.97万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=635653
• 关键词: Numerical; Computing; Evolving; Domains

Partial differential equations (PDEs) are essential tools in science, engineering, and other fields. For example, PDEs are used as mathematical models for fluid flow, weather systems, stock markets, and chemical and biological processes. They are also used extensively in medical imaging, diagnosis, data processing, and computer vision. Because exact solutions are rarely available, practical progress is most often made through

偏微分方程（PDEs）是科学、工程和其他领域的重要工具。例如，偏微分方程被用作流体流动、天气系统、股票市场以及化学和生物过程的数学模型。它们也广泛应用于医学成像、诊断、数据处理和计算机视觉。由于精确的解决方案很少可用，实际的进展往往是通过