Browsing Department of Computational and Data Sciences (CDS) by thesis submitted date"2024"
Now showing items 1-2 of 2
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A co-kurtosis tensor based featurization of chemistry for scalable combustion simulations
For turbulent reacting flow systems, identification of low-dimensional representations of the thermo-chemical state space is vitally important, primarily to significantly reduce the computational cost of device-scale ... -
An importance sampling in N Sphere Monte Carlo and its performance analysis for high dimensional integration
Statistical methods for estimating integrals are indispensable when the number of dimensions (parameters) become greater than ~ 10, where numerical methods are unviable in general. Well-known statistical methods like ...