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Enhance your skills in energy statistical analysis with our expanded three-day workshop. Dive deep into crucial topics like risk quantification and pricing models using practical exercises in Excel.
Quantum Galton Box simulation using Qiskit: Classical vs Quantum vs Noisy vs Biased. 🚀 #QuantumComputing #Qiskit #MonteCarlo ...
Department of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, Minnesota 55455-0132, United States Department of Chemistry and Chemical Theory Center, University of ...
Process variations and device mismatches profoundly affect the latest ultra-small geometrical processes. Complexity creates additional factors that impact device manufacturing variability, which in ...
Pharmaceutical controlled-release formulations are systems developed by a set of unit operations to achieve a satisfactory combination between a drug and excipients to allow its gradual release. These ...
Abstract: This paper presents a novel method for power system reliability studies that combines graph neural networks with reinforcement learning. Monte Carlo methods are the backbone of probabilistic ...
Abstract: This study aims to calculate the Value at Risk (VaR) in the cryptocurrency assets portfolio using the Monte Carlo simulation method. Analysts mostly use value at risk to measure the ...
This project implements a Monte Carlo simulation for pricing barrier options using NVIDIA's CUDA toolkit. Barrier options are a type of exotic option where the payoff depends on whether the underlying ...