Such estimation problems often ... memory requirements for large linear space-time inverse problems, taking the Bayesian approach for estimating carbon dioxide (CO2) emissions and uptake (a.k.a.

In the collaborative environment of the Penn State Institute for Computational and Data Sciences, John Harlim combines applied mathematics and data science to develop methods for more-accurate ...

Apply knowledge of mathematics, statistics, natural science and engineering principles to the solution of complex problems. Some of the knowledge ... to analysis of common Aerospace propulsion methods ...

Conservation of energy and momentum, the work-energy theorem and the impulse-momentum relationship, for both linear ... model complex problems, recognising the limitations of the techniques employed.

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A Python package to quickly decompose weighted graphs into weights paths, under various models.