The phrase "approach in computational" is not complete and may not be fully correct in written English without additional context.
It can be used when discussing methods or strategies related to computational fields, but it typically requires further specification.
Example: "The approach in computational modeling has significantly advanced our understanding of complex systems."
Alternatives: "method in computational" or "strategy in computational".
The lattice Boltzmann method (LBM) is an innovative and promising approach in computational fluid dynamics.
We describe the application of such approach in computational modeling of the Ran GTPase function in mitotic spindle assembly.
Numerical integration is the most common and straightforward approach in computational neuroscience for the study of biological neuron models based on ordinary differential equations.
The most common approach in computational prediction of protein function is to use sequence or structure similarity to transfer functional information between proteins [2].
Constraint-based modeling of genome-scale metabolic network reconstructions has become a widely used approach in computational biology.
A widespread approach in computational systems biology is to specify a dynamical model of the biological process under investigation based on biochemical knowledge, and consider that the real system follows the same dynamics for some kinetic parameter values.
Many approaches in computational aeroelasticity seek to synthesize independent computational approaches for the aerodynamic and the structural dynamic subsystems.
"They are still developing the infrastructure and convincing the field that this is a powerful way to go, but there are alternative approaches in computational neuroscience that are also making progress.... It's not a monolithic enterprise by any means".
This difference was most noticeable with regard to different model building approaches in computational systems biology and computational neuroscience.
The frequency domain approach results in computational complexity reduction while blind implementation ensured improved spectral efficiency and throughput.
Therefore, the frequency domain approach results in computational complexity reduction, while blind implementation ensured improved spectral efficiency and throughput [19 22].
