The phrase "a lack of numerical" is not complete and requires additional context to be correct and usable in written English.
It can be used when discussing insufficient numerical data or information in a specific context, such as research or analysis.
Example: "The report was inconclusive due to a lack of numerical evidence to support the claims made."
Alternatives: "insufficient numerical" or "deficiency of numerical".
There is a lack of numerical tool combining optimization and robustness.
However, there is still a lack of numerical models available in commercial finite element analysis (FEA) tools that are able to simulate the interaction of elastic waves with the materials nonlinear behaviour.
This may be partly related to a lack of numerical modelling during the analysis and design of these systems, as a result of the relative inaccessibility of advective conductive heat flow simulators.
However, there is still a lack of numerical simulation tools available for predicting the interactions between indoor and outdoor microclimate that take into account the influences of outdoor spatial conditions (such as building forms and tree shapes) and various urban surface materials.
Typically, it should allow the building of large models with a high level of biological relevance that can cope with both a lack of numerical data and precise knowledge.
Results from one study of the Chinese population, which could not be included in our meta-analysis due to a lack of numerical data, suggested no clear association between FTO allelic variation and obesity-related traits in both healthy individuals and women with PCOS [ 30].
Additionally, there is a lack of 3D numerical models that can accurately predict debris impact loads.
In addition, there is a lack of extensive numerical experiments evaluating the effects of the relaxation of binary variables in mixed integer linear programming based unit commitment.
The second is a perceived lack of numerical methods able to model the complex material behaviour under structural excitation, in particular at higher frequencies.
(b) The search algorithm may generate trial points too far in the failure domain, where the finite element code fails to produce a result due to lack of numerical convergence.
Currently, there is a lack of both experimental and numerical investigations aiming at a statistical understanding of this important phenomenon.
