
[0.7.5] Added New Parametric Simulation and Optimization module (parametric_and_optimisation). This is the main feature of this release, adding powerful new capabilities to the package. Allows running parametric simulations by varying a wide range of accim inputs. Includes the ability to define optimization problems to find optimal parameters based on user-defined objectives. Integrates with the besos library for executing optimization algorithms. New classes and functions have been added to manage parameters, objectives, and simulation runs. A Jupyter Notebook for the use of aPMV setpoint temperatures Changed The internal project structure has been updated to accommodate the new module.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
