A
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Relativistic Computational Fluid Dynamics |
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We design high-spatial-resolution algorithms for Riemann problems (in one and several spatial dimensions) in special and general relativity under different equations of state that include phase changes.
B
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Numerical methods |
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Numerical methods for approximating the solution of nonlinear systems of equations.
C
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Numerical optimization methods |
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Numerical optimization methods for least-squares fitting problems of large data sets (i.e., big data). Neural network training for approximation or classification.
