To avoid computing catastrophes, many firms adopt expensive, uninterruptable power supplies using back-up generators and banks of lead acid batteries.
For this case a parameter continuation is devised to avoid computing for the junk solutions.
The main idea of the algorithms is to avoid computing the inverses of matrices.
These four components can be used elegantly to avoid computing the complex curvature in [16, 30, 34].
In order to avoid computing the Jacobian matrix, a nonmonotone line search technique was used in the algorithms.
Because it is meaningless to compute the periodicity between two dissimilar actions, we choose to empty the matrix S when a motion cycle is detected in order to avoid computing the self-similarity between two dissimilar actions.
To avoid computing the norms of the bounded linear operators, we introduce parallel and cyclic iterative algorithms with self-adaptive step size to solve MSECFP (1.1) governed by firmly quasi-nonexpansive operators.
In order to avoid computing curvature and meanwhile decrease the number of the introduced variables and parameters, we will design fast algorithms in the next section, by taking into full consideration the relationship between regularization term ∫ Ω |∇H|dx and constraint term |∇ϕ| = 1.
To avoid computing the full covariance matrix, only required entries are dynamically computed and stored.
Second, to avoid computing the gradient for a 12-parameter model, we fit constrained Accumulator Models that had one parameter free and the other parameters fixed to the best-fit parameters from the control meta-rat Accumulator Model.
