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(i) the classical SPH method has been combined with the Runge Kutta Chebyshev scheme and (ii) a new time space Adaptive Smooth Particle Hydrodynamics (ASPH) algorithm has been developed in this thesis. The SPH method employs a purely meshless Lagrangian numerical technique for spatial discretisation of the domain and it avoids many numerical difficulties related to re meshing in mesh based methods such as the finite element method. The explicit Runge Kutta Chebyshev (RKC) scheme is developed to accurately capture the dynamics in elastic materials for the SPH method in the study. But the tension at OpenAI raises new questions about whether AI startups can balance developing AI responsibly alongside the need to raise vast amounts of capital from investors to support the expensive computing infrastructure required to build these tools.OpenAI's turmoil also could set off a race by other tech companies to poach highly competitve AI talent. Salesforce Inc. CEO Marc Benioff on Monday offered to immediately employ researchers resigning their posts at OpenAI. 9MbAbstractThe purpose of the work was to produce a programme to calculate as accurately as possible the distributions of weight and buoyancy of a vessel
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