Packages of K2 exist in a public health grey space, neither controlled nor completely illegal, and outlawing them outright is complex if not impossible with current methods.
The forest-level management problem addressed is complex, if not impossible to solve optimally, with current computing technologies, as integer decision variables are assumed.
The use of common statistical tests is in part due to the wide recognition of these tests, but also because it is extremely complex (if not impossible) to perform the correct permutation test when sample sizes, and the number of stratification factors, increase (Knijnenburg et al, 2009).
Without their assistance, these activities would've been hopelessly more complex and dangerous, if not impossible.
For example, decisions on blood glucose monitoring are easily made, simple, distinct and clear; whereas an intuitive control system for SGC is obscure, indistinct, very complex and difficult, if not impossible to translate into another setting.
Many techniques such as GST-pulldown exist to identify protein-protein interactions, but intra-molecular protein contacts and contacts dependent on the native fold of a protein or formation of a macromolecular complex are difficult if not impossible to analyze by these common techniques.
Notably, health knowledge and the data required to use such knowledge are inordinately complex, making it difficult, if not impossible, to completely separate consumer use of information from the need for a trusted relationship with a provider; consumers can manage their own investment portfolios, but they are unlikely to become their own doctors.
Nuclear power plants are capital-intensive, technologically complex to manage, and difficult, if not impossible, to site.
This limitation makes management of complex three-dimensional deformities difficult, if not impossible.
An accurate root-searching in the dispersion equation for arbitrary ranges of frequencies and complex wavenumbers, however, is very difficult, if not impossible.
These complex dynamics make the optimization problem difficult, if not impossible, to solve analytically and make the application of non-model based optimization techniques necessary.
