But while both described worlds stuttering between the real and unreal, their purposes and methods are quite distinct.
As it turns out, these methods are quite similar to those in the linear case.
These methods are quite simple and inexpensive, but data analysis and result interpretation require adequate experience.
However, these two methods are quite different in regard to the method of quantification.
Although both groups depend on their flying ability to obtain food, the actual feeding methods are quite different.
Derivative-based optimization methods and stochastic optimization methods are quite different techniques, with different drawbacks and potentialities.
Inspection methods are quite well studied in the literature, where they are referred to by a variety of names, such as expert evaluations, reviews, and analytical evaluation methods.
True equilibrium methods are quite robust, but their use is limited to experiments with tracers that are suitable for constant infusion.
It is well known that the conventional methods are quite costly due to repeated nonlinear analysis for the calculation of function and sensitivity information.
The two methods are quite general and can be used to study plates with any combinations of boundary conditions, taper and geometric parameters.
These, commonly grouped under the name soft computing methods, are quite recent methods and in demand for application to engineering optimization tasks.
