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A wide range of problems which could only be addressed by tedious manual or semi-automated computation a few decades prior suddenly became readily accessible with computers.
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We list the result of our computation of a few initial (mu_{n}) and (nu_{n}) when (L = 1) in Table 3.
A rapidly convergent block-iterative scheme for the computation of a few of the lowest eigenvalues and eigenvectors of a large dense real symmetric matrix is proposed.
For MPI programs, it is common to have most of the processors for computation, and a few processors or just one processor for task scheduling management.
We list the result of our computation of a few initial (beta_{n}) and (gamma_{n}) when (L = 1) in Table 2.
Such a two- step method of inverse analysis is proposed and its advantages are demonstrated through numerical computation of a few examples.
The problem of numerical computation of a few Lyapunov exponents (LEs) of finite-dimensional dynamical systems is considered from the viewpoint of the differential geometry of Stiefel manifolds.
We describe an implicitly restarted block Lanczos method designed for the computation of a few extreme multiple or close eigenvalues and associated eigenvectors of a large sparse symmetric matrix and apply this method to determine the desired null space.
For simulations, a replicated mask reduces computation since only a few matrix inverses must be computed (one for each shift of the mask) and then applied to all of the patches.
The two benchmarks showed a computation time of a few seconds to a few minutes and L-CG-MEC a computation time varying from 10to2020 minutes.
However, the result by our method, owing to adopting iterative computation, could mend a few interesting contents to some extent (see Figure 6d).
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CEO of Professional Science Editing for Scientists @ prosciediting.com