Hence, when all approximations are causal approximations, the causal relations entailed by a model decrease monotonically as models become simpler, leading to an efficient, polynomial-time algorithm for finding adequate models.
Through introducing eight variables in CALM (20), each sub-minimization or sub-maximization problem of this model becomes very simple because there is no curvature term in these sub-problems.
Therefore, the limiting model includes a subset of species and reactions and network topology in it becomes simpler.
However, the analysis becomes simpler in two specific regimes.
Notice that this simple degradation model becomes more complex when the sequential image degradation model is applied since that degradation affects the noise distribution as well.
As a result, a simple analytical potential model becomes available for device designing.
"It never becomes simple".
However, this comparison becomes simple by focusing on induction therapy.
The logic is simple: With more data points available, the model becomes more accurate.
A whole new business model becomes possible".
