Sentence examples for retaining the computational from inspiring English sources

A Lipschitz-based approach, which provides a conservative approximation for the min max problem, is used to solve the control problem, retaining the computational complexity of nominal MPC formulations and the robustness of the min max approach.

As in many multi-locus interaction models (e.g. Kam-Thong et al., 2012), it is an open problem how to overcome this coding-sensitivity, while retaining the computational efficiency and statistical power of our current method.

Then, MS-BCS-SPL [17] (multi-scale BCS with smooth projection Landweber) explores BCS for different levels of a wavelet-decomposed image and consequently improves the performance of BCS greatly, while retaining the low computational burden.

To overcome the major disadvantage of the small region of sampling in local sensitivity analysis while retaining the ease of computational simplicity, some studies have used a global approach of averaging local sensitivities taken throughout the parameter space [ 13].

In particular, the algorithm will retain the PLS computational robustness in dealing with large sets of correlated inputs and outputs, whilst profiting by the SIM dynamic description of the system being investigated.

The novelty of the new method is that unlike any of its semi-implicit predecessors at the same time it retains the explicit computational cycle and conserves energy exactly.

Therefore this formulation retains the desirable computational properties of FBA and MOMA, i.e. a guaranteed global optimum can be computed rapidly.

An overview of the performance-based modeling processes and the critical points for minimizing the computational demand while retaining the calculation accuracy are also presented.

The main effort of the simulation is devoted to the detailed representation of the geometry of the system whereas the particle scale physicochemical processes are treated in a simplified way reducing the computational effort but retaining the parametric dependency of the process.

In this line, the recent introduction of systems-on-chip (SoC) composed of low power multicore processors, combined with a small graphics accelerator (or GPU), presents a notable increment of the computational capacity while partially retaining the appealing low power consumption of embedded systems.

The radiation model possesses the capability to accurately approximate solution of radiative transfer at low computational cost while retaining the main physical properties of radiative energy.