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Computationally, molecular dynamic (MD) simulation is a widely used technique to study ligand-host interactions.
The resulting design avoids the solution of computationally intensive dynamic optimizations since the integration of design and control problem is reduced to a nonlinear constrained optimization problem.
A computationally efficient dynamic adaptive chemistry (DAC) scheme is described that permits on-the-fly mechanism reduction during reactive flow calculations.
This paper reports the implementation of a computer modeling approach that uses fluoroscopically measured motions as inputs and predicts patient-specific implant damage using computationally efficient dynamic contact and tribological analyses.
These properties allow computationally efficient dynamic programming algorithms to carry out important tasks such as parameter estimation and pattern recognition.
Additionally we determined the amount of time needed to reach stationary phase experimentally and computationally using dynamic FBA for each strain in each condition.
We computationally modeled dynamic microenvironment-dependent fitness alterations in hematopoietic stem cells (HSC) within the Sprengel-Liebig system known to govern evolution at the population level.
The result is a computationally-efficient dynamic model that includes the "signature" of an individual's swing, and the bending and torsion that is so important to the performance of the club.
Therefore, the global collapse capacity of these structures derived with this methodology and with the computationally expensive incremental dynamic analysis procedure is set in contrast.
The problem becomes computationally intractable if dynamic analysis is performed in the time domain, which is often necessary due to nonlinearities.
This paper discusses a computationally efficient robust dynamic optimization approach based on the Sigma Point method and shows how it outperforms a linearization-based method for a nonlinear dynamic chemical vapor deposition reactor case-study with multiple uncertainties.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com