Sentence examples for many computational challenges from inspiring English sources

Embedded boundary methods alleviate many computational challenges, including those associated with meshing complex geometries and solving problems with evolving domains and interfaces.

Prediction of shear band formation and other strain localization processes presents many computational challenges that must be overcome to enable dynamic failure prediction and material design of ductile material systems.

Despite their unique features, many computational challenges still remain in analyzing such gene expression profiles.

There are many computational challenges that arise when developing translational cancer genomics applications, particularly those with the goal of personalized oncology.

However, many computational challenges are encountered when performing key tasks, such as image registration, cell segmentation and cell tracking, in complex microscopy datasets (Khairy et al., 2008; Li et al., 2007; Lou et al., 2011; Preibisch et al., 2010; Rubio-Guivernau et al., 2012).

When analyzing biological data, we face many new computational challenges.

Therefore, the two reviews, complementing each other, are perceived to be a useful starting point for computer scientists to get acquainted with many of the computational challenges coming from computational biology in which core ideas of the information sciences are already having a substantial impact.

Unfortunately, there are many experimental and computational challenges associated with obtaining accurate estimates of limb impedance during movement.

Efficient analysis and simulation of multiscale stochastic systems of chemical kinetics is an ongoing area for research, and is the source of many theoretical and computational challenges.

There are many computational and statistical challenges associated with the analysis of big data related to the number of patients, number of variables per patient, and the quality and technical complexity of the databases (Monteith et al. 2015; Fan et al. 2014; Grimes and Schulz 2002).

However, there are many analytical and computational challenges that come with analyzing these data sets.