Scientific Computing

Cornell researchers develop advanced numerical algorithms that form the backbone of modern scientific computing. Focusing on the "Large N" challenges of data-intensive computation, researchers create more efficient and reliable methods in numerical linear algebra, optimization algorithms, and partial differential equations. These innovations enable scientists and engineers to build more accurate models, run larger simulations, and analyze massive datasets across diverse fields, from climate modeling to molecular dynamics.

Cornell's Center for Applied Mathematics