Exact(1)
The point is now that if μ ∈ L ( n, 1 ), then a computation involving the definition of norm in Lorentz spaces (see [23, 41] for discussion) implies that (25) takes place, and therefore we conclude with the following: (Nonlinear Stein theorem [41]) Let u ∈ W 1, p be a solution to the Eq. (13), under the assumptions (16) and such that μ ∈ L ( n, 1 ) locally in Ω.
Similar(59)
This is a simple computation involving a non-linear summation of cortical inputs (provided to the subthalamic nucleus through the hyperdirect pathway), and it has been demonstrated that neurons in the subthalamic nucleus and globus pallidus have connectivity and response properties ideally suited to perform this computation (Bogacz and Gurney, 2007).
This is an example computation involving a company that has one associate from which it receives £50,000 group relief.
The numerical method is based on the reduction of this problem to a lower-dimensional computation involving surface variables alone.
It is based on the reduction of this problem to a lower-dimensional computation involving surface variables alone.
where the parameters μ(k) are obtained by a simple non iterative computation involving the LP coefficients[25] by minimizing the prediction error variance R e, as μ ( k ) = 1 P e ∑ i = 0 M − k ( M + 1 − k − 2 i ) a i a i + k ∗ k = 0 … M μ ∗ ( − k ) k = − M. … − 1 (35).
Furthermore, numerical calculations via our theory are performed which are far cheaper and easier than a direct numerical search and computation involving the long time study of the basic differential equations.
(C11) is again a consequence of (25) and of some basic computation involving the definition of Lorentz norm (see [22, 41]).
Computation involving dynamical systems, fractals, and cellular automata.
The absolute best k-digit rational approximation is most desired for error-free computation involving π/any other irrational number.
Library computation involves computing pairwise (or multiple) alignments using some pre-defined method.
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