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Explores finite element methods for elasticity problems and variational formulations, emphasizing admissible deformations and numerical implementations.
Explores electron behavior in an electron gas and the periodic arrangement of atoms in crystalline solids, along with density of states in various dimensions and energy bands.
Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
Discusses advanced Spark optimization techniques for managing big data efficiently, focusing on parallelization, shuffle operations, and memory management.