So, you’re wondering which programming language is the absolute hardest to learn in 2026? It’s a question that pops up a lot, ...

Abstract: Long-term hydropower operation is a complex optimization problem, as the uncertainty of natural inflow should be considered. Sampling stochastic dynamic programming (SSDP) is a method that ...

This study develops a unified framework for optimal portfolio selection in jump–uncertain stochastic markets, contributing both theoretical foundations and computational insights. We establish the ...

The president of the arts center cited the TV show “So You Think You Can Dance” as the type of programming that could be more broadly appealing to audiences. By Julia Jacobs The John F. Kennedy Center ...

Abstract: Creating programming questions that are both meaningful and educationally relevant is a critical task in computer science education. This paper introduces a fine-tuned GPT4o-mini model (C2Q) ...

ABSTRACT: Offline reinforcement learning (RL) focuses on learning policies using static datasets without further exploration. With the introduction of distributional reinforcement learning into ...

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 Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jctc.5c00103.

ABSTRACT: Markov modeling of HIV/AIDS progression was done under the assumption that the state holding time (waiting time) had a constant hazard. This paper discusses the properties of the hazard ...