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 ...

Dr. Ramakrishnan's core research interests are in nonlinear, stochastic dynamic systems and control and their applications. Focusing on theoretical and computational analyses, he is an author or ...

Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China Engineering Research Center of Process ...

Functional programming, as the name implies, is about functions. While functions are part of just about every programming paradigm, including JavaScript, a functional programmer has unique ...

DecisionProgramming.jl is a Julia package for solving multi-stage decision problems under uncertainty, modeled using influence diagrams. Internally, it relies on mathematical optimization. Decision ...

Stochastic linear program for investments in the European power system. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii ...

ABSTRACT: In this paper, we study the optimal level of cash for the firm to hold. We model the cash level with inflows and outflows due to deposits and withdrawals; in between, the cash level is a ...