Sentence examples for results for the implementation from inspiring English sources

The implications of these results for the implementation of symplectic methods are discussed and then explored through numerical examples.

The bar in the middle shows results for the implementation on DGRP that eliminates non-recommended processes forever, i.e., with no recovery.

The aim of this study is to describe the initial results for the implementation of the Brazilian initiative of a Telemedicine (TM) Project for therapeutic support of septic patients in a community hospital in Sao Paulo, Brazil.

The range of results for the implementation of 50 features across the 7 clinical software systems was as follows: 17-31 features (34-62%) were fully implemented, 9-13 (18-26%) partially implemented, and 9-20 (18-40%) not implemented.

The agreement observed between different methodologies and their ability to detect quality trends across distinct environments constitutes a promising result for the implementation of the WFD's monitoring plans.

Trade diversion for Pakistan resulting from the implementation of the CPTPP would primarily affect the small-scale manufacturing sector, thereby leading to decline in employment of the factors and subsequent decrease in real factors' returns.

At the same time, we can see curious results for the Pruning implementation.

In this subsection, we present results for the DGRP implementation with a focus on monitoring.

The results for the FPGA implementation for EC design using these curves is also proposed in this paper.

The high fidelity of the realtime catenary model as well as the emulation performance of the closed-loop test rig setup in contact with a pantograph model provides promising results for the future implementation of the simulation/control architecture on the test rig hardware.

Finally, we conclude the paper with a discussion that attempts to put in perspective the proposed Lyapunov-based control approach with respect to the nonlinear model predictive control (MPC) approach and discuss the implications of our results for the practical implementation of MPC, in control of uncertain nonlinear processes with input constraints.