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Monte Carlo Methods

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Performance Enhancements of Monte Carlo Particle Tracing Algorithms for Large, Arbitrary Geometries

Performance Enhancements of Monte Carlo Particle Tracing Algorithms for Large, Arbitrary Geometries

Charles N. Zeeb and Patrick J. Burns

This paper focuses on enhancing the performance of Monte Carlo particle tracing algorithms for radiative heat transfer in complex geometries. It details an efficient particle intersection algorithm and the implementation of Uniform Spatial Division (USD), demonstrating significant speedups in tracing time. The study aims to make Monte Carlo simulations more computationally efficient for large-scale problems.

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Performance and Accuracy Enhancements of Radiative Heat Transfer Modeling via Monte Carlo

Performance and Accuracy Enhancements of Radiative Heat Transfer Modeling via Monte Carlo

Charles Nelson Zeeb

This technical paper delves into enhancing the efficiency and precision of radiative heat transfer modeling using Monte Carlo simulations. It presents a refined particle tracing algorithm for intricate geometries and introduces a reciprocity estimation smoothing technique, utilizing statistical methods to boost the accuracy of Monte Carlo outcomes.

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