The phrase "around optimal" is correct and usable in written English.
It can be used to describe a situation or condition that is close to the best or most effective state, but not necessarily the absolute best.
Example: "The system is performing around optimal levels, indicating that it is functioning efficiently but may still have room for improvement."
Alternatives: "near optimal" or "approximately optimal".
Contaminated water and sewage flows out of nearby favelas into the bay; competition will be scheduled around optimal tidal flow to reduce exposure, but Moscatelli fears that sailors may collide with debris and become exposed to water that could cause ear infections, conjunctivitis, and mycosis.
Fourth, we advice to investigate how the predictive error of the models propagates around optimal solution.
Multiple approaches were employed to influence behavior, attitudes, and awareness around optimal pain practice (e.g., instructional resources, electronic reminders, audits, and feedback).
In this paper the focus is on revealing and understanding the possible nonlinear behaviors and their influence upon the further decisions behind the experimental design for validating the process model in the region around optimal operation.
Pan's vision for Covo is designed around optimal use of the space which benefits both users and owners.
Debates around optimal approaches in community health have centred on utilitarian versus empowerment approaches.
For the modeling choices and assumptions made in this study, the 3-unit HSM was found to be an all-around optimal model by capturing both the sensitivity of the FHM and the performance metrics under different reservoir storage or operational conditions.
Many transcripts were peaking around known optimal fruit stages for flavor production.
For problems that are characterized by small sensitivity around the optimal design choice, a combination of SSO with other optimization algorithms is proposed for enhanced overall efficiency.
This approach may be useful for microstructure sensitive design by a gradient-based optimization method or may be used to carry out sensitivity analysis around the optimal point after an optimal microstructure design.
Step 2: 10,000 × samples of d and E are generated around the optimal sample by random function.
