This article considers a Mayer-type optimal control problem of probabilistic Boolean control networks (PBCNs) with uncertainty on selection probabilities which obey Beta probabilistic distributions.

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Thank you for offering such a reliable toolkit for geometry processing using Python. I currently have a fundamental requirement for my algorithm: I need to select a set of faces based on my custom ...

Learn about Python metaclasses, how to define and use them, and explore examples to understand their functionality with this comprehensive tutorial.

Many other Python modules adhere to this standard and thus combining them with SymPy can cause problems. For example, if you have a NumPy array of integers that can only be 1 or 0, it may be wise to ...

We particularly focus on the use of Boolean networks that, like classical epistasis analysis, relies on logical formalisms, and hence can complement classical epistasis analysis and relax its ...