Important emphasis of the developed methodological approaches is the stimulation of abstraction in the case of existing products in order to avoid solution fixations in function and feature options.
In order to avoid numerical solutions with no physical meaning (spurious solutions), a comparison among different schemes was performed.
The main advantage of this algorithm is that it extracts more representative centroid-like solutions from an ensemble of possible statistical models, in order to avoid suboptimal solutions.
It is shown that it is beneficial to formulate the problem in terms of kinetic energy in order to avoid oscillating solutions and to reduce linear interpolation errors.
Since these problems are frequently multimodal, global optimization methods are needed in order to avoid local solutions.
At least one v i flux must be bounded from above in order to avoid diverging solutions, and because this is biologically meaningful, for example, due to limitation of substrate uptake.
The solution of (15) in the space of equal energy function is restricted to ∫ Ω I γ d x → = ∫ Ω I 0 γ d x → in order to avoid trivial solution of all zeros.
In order to avoid mesh-dependent solutions in the finite-element simulations, regularization techniques are applied.
In order to avoid misleading decision solutions in group decision making (GDM) processes, in addition to consensus, which is obviously desirable to guarantee that the group of experts accept the final decision solution, consistency of information should also be sought after.
In order to avoid such trivial solutions and to regularize the minimization problem, the authors in [21] propose to restrict all columns of transform matrices to have unit norm.
