Sentence examples for constraining solutions from inspiring English sources

At any time, on the basis of the patient's response to treatment and their willingness to be adherent, these constraining solutions should be adjusted and the patient returned to a regular clinic-based DOTS.

Reachable sets of bang-bang constrained solutions are convex; an application to the calculus of variations yields a density result.

Considering operation around a steady state of a dynamical system, the task of the algorithm consists on finding a set of optimal, but constrained solutions.

Validity of its application is a questionable proposition for small values of α even slightly higher than this lower bound since the theory gives highly constrained solutions for displacements.

The use of multiple calibrations as constraints on the nodes of interest has the advantage of using empirical data to constrain solutions.

We will do this for each spacecraft and use the outcome for an ambiguity constrained solution on the baseline between the spacecraft.

In this paper, we present a three-dimensional (3-D) density model of the Chicxulub Crater (inside the outer ring) obtained from modeling the Bouguer gravity anomaly, and constraining the solutions with marine seismic data and borehole information (Fig. 1).

Obtaining detailed images of cardiac surface potentials using a limited number of electrodes, without excluding a wide variety of pathological activation patterns by constraining the solutions using an a priori activation model derived from healthy myocardial tissue, requires focusing all degrees of freedom on a limited region of interest on the cardiac surface.

It can be shown that applying algorithms to such data without constraining the solution can result in uninterpretable results such as negative chemical concentrations and possibly false negative and/or false positive detections, which could lead to meaningless results [29].

In addition to being open source, OMG clearly showed the added value of constraining the solution space by using multiple prescribed substructures as input.

Constraining the solution to satisfy time and frequency conditions iteratively, a close approximation to the signal, with the given samples, is obtained.