Mathematical modelling and optimisation in packing problems constitute a critical research area that combines advanced algorithms, rigorous analytical formulations, and practical applications. This ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

Fractional calculus extends the classical concepts of differentiation and integration to non-integer orders, providing a sophisticated framework for modelling memory and hereditary effects in complex ...

RIT alumnus Adam Giammarese received the Edward N. Lorenz Early Career Award for his Ph.D. research in chaos theory and ...

Current AI models struggle to solve research-level math problems, with the most advanced AI systems we have today solving just 2% of the hundreds of challenges faced. When you purchase through links ...

Alan Veliz-Cuba has received funding from the Simons Foundation and the American Mathematical Society for some of his research. You can probably think of a time when you’ve used math to solve an ...

Since the release of GPT 5.2, AI tools have become inescapable in high-level mathematics.

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...

Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.

Mathematical modeling has been a powerful tool for policymakers grappling with COVID-19 to help predict how targeted actions can impact the rates of infections, minimize the risk of exposures, ...