Sentence examples for by the high computational from inspiring English sources

Optimal management of water resources systems is often limited by the high computational burden associated to the adoption of process-based models.

The optimal management of large environmental systems is often limited by the high computational burden associated to the process-based models commonly adopted to describe such systems.

Development of next-generation stochastic multiscale models whose parameters can be learned from available clinical data under uncertainty constitutes a research challenge made more difficult by the high computational cost typically associated with the solution of these models.

The power of density functional theory is often limited by the high computational demand in solving an eigenvalue problem at each self-consistent-field (SCF) iteration.

As a result of this fact uncertainty analysis in nonlinear inverse problems has been approached in a probabilistic framework (Bayesian approach), but these methods are hindered by the curse of dimensionality and by the high computational cost needed to solve the corresponding forward problems.

However, the systematic study of these fluctuations is severely hindered by the high computational demand of stochastic simulation algorithms.

The computational engineering design process is accelerated by harnessing the high computational power of Graphic Processor Units (GPUs).

In this section, we develop an iterative MSTR detection algorithm by avoiding the high computational complexity of GLRT-based detectors (e.g., exhaustive search [16] and SDA [17]).

It is quite difficult to achieve an optimal solution with traditional optimization methods by reason of the high computational complexity for large-scale problems.

If the 3D infinite water layer is also modeled by the finite elements, the high computational costs are unacceptable in engineering practice.

By taking into account the high computational efficiency and nonlinear projection ability of kernel functions, a kernel factor analysis is investigated for feature selection and representation in gearbox condition monitoring.