In order to validate the performance of PAISA, nine benchmark functions with 20 10,000 dimensions and a practical optimization problem, optimal approximation of linear systems are solved by PAISA, successively.
The ideas of interpolation, control point estimation and optimization of approximation curve are used.
It can be applied in various branches of mathematics, variational inequalities optimization and approximation theory.
It can be applied for solving various problems, for instance, variational inequalities, optimization and approximation theory.
The behavior of nonlinear networks could be described within the framework of optimization and approximation techniques with dynamical systems.
Statistical convergence has several applications in different fields of mathematics: summability theory, number theory, trigonometric series, probability theory, measure theory, optimization, and approximation theory.
Since MCKPQ is hard for both optimization and approximation, in this section, we propose heuristic algorithms which are fast and produce high-quality results, while have no theoretical guarantee.
Over the past two decades the development of fixed point theory in metric spaces has attracted considerable attention due to numerous applications in areas such as variational and linear inequalities, optimization, and approximation theory.
Alternatively, other models have been developed to produce more sophisticated systems by applying soft computing techniques, the majority of which have rarely been used beyond classic problems, such as function optimization or approximation by genetic algorithms (GAs), or neural networks (NNs).
Design optimization using approximations based on feed-forward back-propagation neural network is the topic of much recent research.
