Math researchers find new ways to improve the science of ‘trade-offs’

QUT researchers working on complicated problems in agriculture, ecology and medicine have developed a mathematical model to enable faster solutions.

Questions about intervention, how strong and how long, are just some of the judgment calls faced by doctors and scientists during everyday decision-making.

From crop production to chemotherapy, new research published in Journal of the Royal Society Interface, improves how to determine the ‘best’ intervention strategies.

Professor Matthew Simpson, PhD researcher Jesse Sharp and Professor Kevin Burrage from QUT’s Centre for Data Science and Australian Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) have developed the new mathematical method to faster simulate different scenarios to reach optimal solutions.

Mr Sharp, who is studying his PhD, said the method involved optimal control theory which could be described as a “science of trade-offs” between competing objectives.

Read the full story here.

Leave a Comment

Your email address will not be published. Required fields are marked *