The phrase "highly sparse" is correct and usable in written English
It is typically used to describe a situation in which there is a very small number of something compared to the amount of space or time available. For example, you might say, "There are only a few trees scattered in the highly sparse landscape."
Contact opportunities become more precious for highly sparse vehicular networks.
Alternatively, CI could be preferred especially for highly sparse cellular systems.
On the global domain, the discrete filter equation yielded a linear system represented by a highly sparse matrix.
For large systems, this approach leads to the generation of problems involving highly sparse matrices which must be solved iteratively.
We propose a new approach to construct adaptive multiscale orthonormal (AMO) bases of RN that provide highly sparse signal representations.
Furthermore, a highly sparse problem-dependent preconditioner is developed to significantly reduce the number of iterations used by the iterative solvers.
In this paper, the design of highly synchronizable, sparse and robust dynamical networks is addressed.
The results show that, when used concurrently, both methods allow global speed-ups of about one order of magnitude even with an already highly-optimized sparse analytical Jacobian solver.
This study presents an approach for generating transient groundwater model inputs to assess the long-term impacts of dryland agricultural land reclamation on groundwater resources in a highly data-sparse context.
A nonlinear additive Schwarz preconditioned inexact Newton method (ASPIN) was introduced recently for solving large sparse highly nonlinear systems of equations obtained from the discretization of nonlinear partial differential equations.
We report on the design and development of a parallel frontal code HSL_MP43 for the numerical solution of the large sparse highly unsymmetric linear systems of equations that arise in industrial-scale chemical process engineering.
