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The advantage of the former over the latter is the computational burden since numerical computations for the first-harmonic equations does not depend of the forcing frequency.
This paper presents a multi-objective optimization design framework that is integrated with the Computer Aided Design (CAD) for geometric variation and Computational Fluid Dynamics (CFD) software for hydrodynamic computations for the design of Autonomous Underwater Vehicles (AUVs).
It combines quantum mechanical computations for the reaction rate constant in various solvents with a computer-aided molecular design (CAMD) formulation.
The paper then demonstrates how to compute the gains in efficiency a priori to amend the power computations for the traditional paired t-test.
Practical computations for the direct calculation of the interactions between all the particles are thereby limited to n < 10,000.
Our method requires little computations for the concerned calculations.
Thus the computations for the cells all start with the same solution.
The ETS mirt software (Haberman 2013) was used to perform the computations for the generalized residuals.
We perform parallel computations for the newly added spins in the growing cluster.
Computations for the TESLA superconducting RF cavity design compare favorably with experimental measurements.
RS and RC give the number of computations for the recursive SVD algorithm and the recursive Cholesky algorithm respectively.
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