Sentence examples similar to pose significant computational challenges if from inspiring English sources

The numerical solution of fractional partial differential equations poses significant computational challenges in regard to efficiency as a result of the spatial nonlocality of the fractional differential operators.

Although we can adopt parallel computation to share the load, a large number of grid blocks still pose significant computational challenges.

Clearly, updating the NGDC720 model for gap filling and other new data poses significant computational challenges.

The modelling of cracks and shearbands, arising from brittle and ductile response of materials, poses significant computational challenges.

This study produced very large data sets and posed significant computational challenges, which prompted the development of a dedicated database for data storage and tools for data mining.

Next-generation sequencing technologies have improved our ability to study complex microbial communities, but have also posed significant computational challenges associated with analyzing such large sequence datasets.

This task poses significant computational challenges due to the large number of reads (sometimes tens of millions) and the size of many reference genomes (generally on the order of billions).

Second, in addition to the requirement of sophisticated data management solutions, the complexity of a brain image poses a significant computational challenge in terms of both image processing and pattern recognition.

The combinatorial problem of considering all possible mutations and conformations for each of the mutatable residue positions in a protein poses a significant computational challenge for protein design algorithms.

Functional assignments for short-read metagenomic data pose a significant computational challenge due to perceived unpredictability of alignment behavior and the inability to infer useful functional information from translated protein-fragments/peptides.

Computational analysis and biological interpretation of omics data can pose significant challenges due to a number of factors, in particular the systems integration required to fully exploit and compare data from different studies and/or technology platforms.