Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...

This is a preview. Log in through your library . Abstract Deterministic inventory theory provides streamlined optimization models that attempt to capture trade-offs in managing the flow of goods ...

This is a preview. Log in through your library . Abstract We apply a potential reduction algorithm to solve the general linear complementarity problem (GLCP) minimize ...

June 5, 2024 — In a new paper in Science Advances on May 29, researchers at JPMorgan Chase, the U.S. Department of Energy’s (DOE) Argonne National Laboratory and Quantinuum have demonstrated clear ...

This paper offers a Bayesian framework for the calibration of financial models using neural stochastic differential equations ...