https://en.wikipedia.org/wiki/Phase_rule ; https://en.wikipedia.org/wiki/Virial_theorem ; Cramer's rule --- that sort of thing?BWV said:generally accepted methods
BWV said:More along the lines of computational complexity. one measure would be perhaps the length of the algorithm needed to model it?
Complexity can be defined as the degree to which a system or problem is difficult to understand, analyze, or predict. It is a measure of the number of elements and interactions within a system.
There are several ways to quantify complexity, including measuring the number of components, the number of interactions, the degree of connectivity, or the amount of information needed to describe the system. Different methods may be used depending on the specific system being analyzed.
Quantifying complexity allows us to better understand and manage complex systems. It helps us identify patterns and relationships within the system, predict its behavior, and make informed decisions about how to optimize or simplify the system.
Complex systems can be found in various fields such as biology, physics, economics, and social sciences. Examples include ecosystems, weather patterns, stock markets, and social networks.
In some cases, complexity can be reduced or simplified through various methods such as categorization, abstraction, or simplification of interactions. However, in many cases, complexity is inherent and cannot be completely eliminated. It is important to carefully consider the potential consequences of simplification, as it can lead to unintended consequences or oversimplifications.