Quantum computers and algorithms can offer exponential performance improvement over some NP-complete programs which cannot be run efficiently through a Von Neumann computing approach. In this paper, ...

Abstract: This study develops a cell-based two-stage stochastic program to address the dynamic, spatial and stochastic characteristics of traffic flow for arterial adaptive signal control. To capture ...

Abstract: This paper focuses on addressing the stochastic capacitated disassembly lot sizing problem, which aims to determine the optimal quantity and disassembly dates of used products in an ...

A Stochastic Volatility (SV) model is a mathematical framework used in finance to describe the evolution of asset prices where volatility is treated as a latent, stochastic process. This contrasts ...

This repository accompanies the paper: A Two‑Stage Stochastic Programming Model for Perishable Goods Allocation under LIFO Customer Preferences and Diverse Demand Patterns Milani, Moll, Pickl ...

Excited to announce our new quantum algorithms pre-print: Calculating the expected value function of a two-stage stochastic optimization program with a quantum algorithm We developed a quantum ...

The optimization of short sequences of loop-free, fixed-point assembly code sequences is an important problem in high-performance computing. However, the competing constraints of transformation ...

ABSTRACT: Two-stage problem of stochastic convex programming with fuzzy probability distribution is studied in this paper. Multicut L-shaped algorithm is proposed to solve the problem based on the ...

The Stochastic Project Evaluation & Review Technique program, SPERT, supports Critical Path Method project planning, including generation of text-based GANTT charts ...