As any light grey cell could be eliminated by taking either its row or column metabolite external, the optimal selection from both sets is determined by reformulating this as an integer linear programming (ILP) problem.
The effect of converting a non-linear constraint to a linear constraint by reformulating the problem on the numerical convergence has also been investigated.
A convex programming problem is solved, on-line, by reformulating the problem in terms of a piecewise smooth penalty function, and relying on a suitable analog variable structure system implementing the gradient procedure.
By reformulating the problem in statistical learning terms, a solution is proposed herewith: rather than identifying airborne particles from their scattering patterns, TAOS patterns themselves are classified through a learning machine, where feature extraction interacts with multivariate statistical analysis.
According to Benjamin, Winnicott resolves the Hegelian and Freudian dilemma (Benjamin 1988, 38), the solitary egoism of the fight to the death, by reformulating the problem of recognition at the level of fantasy and distinguishing between internal and external worlds.
We establish an identifiability result using a projection method and suitable hypotheses on the operators involved and develop an identification method by reformulating the problem into a nondegenerate problem.
By reformulating the problem using trigonometric parameters and the inspection of its computational complexity, we exploit the sequential minimum MSE estimation scheme to compute the optimal Tx/Rx polarizations instead of directly utilizing the minimum MSE estimation.
We show that by reformulating the problem with different random variables, one can obtain essentially the same result without the unrealistic assumption.
In this paper, we reformulate this problem as a DC program by using an exact penalty technique.
