Approximation Algorithm Applications in Artificial Intelligence: A Review

The function of this study is devoted to aspects of approximation algorithms such as approximation problems and showing the relationship between approximation order, linear classification display, dimensionality reduction and nested matrices using comparison between models prepared in the search to reach the approximate model that helps in using activation that increases monotonously to provide an approximation similar to the wavelet technique. On how the approximation algorithm could permeate the computer science literature within the development of a network design that met a special need for communication with endpoints via Buy-at-Bulk technology, which is the most impressive class of application of network communication by approximation algorithm using artificial neural networks (ANNs), which are computer models that are a contour of the nervous system response to human and animal brains through the psychological theory known as cognitive consistency model.