OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

Abstract: This paper studies the online dispatch of distribution networks (DNs), which is formulated as a multi-stage dynamic programming (MSDP) to ensure the non-anticipativity of dispatch decisions.

In this paper we study necessary optimality conditions for the problem of minimizing a polynomial function over a set defined by polynomial inequalities. Assume that the problem is bounded below and ...

Abstract: In this work, we analyze the applicability of Inverse Dynamic Game (IDG) methods based on the Minimum Principle (MP). The IDG method determines unknown cost functions in a single- or ...

Investigators rely on particle characterization methods to gain a deeper understanding of key properties that influence both the manufacturing process and the quality of the final product. As ...

ABSTRACT: Equity and fairness are fundamental principles in climate negotiations under the UNFCCC, essential for incentivizing active and effective participation of all parties involved. Historically, ...

This project implements a Dynamic Programming (DP) solution for optimal inventory control, inspired by fundamental principles in Dimitri Bertsekas's work on "Lessons from AlphaZero for Optimal, Model ...

The U.S. Department of Education has given schools and universities that receive federal funding an ultimatum: eliminate diversity initiatives or risk losing federal funding. The Education Department ...