Non-Convex Optimization: A Review

With the rapid development in technology, Artificial Intelligence is responsible for giving solution to every new problem in technology. Artificial Intelligence is the combat process of application, implementation and self-correction. The most potential application of Artificial Intelligence is Machine Learning. It is responsible for training the models based on user experience without doing any explicit programming. Optimization Techniques is responsible for maintaining the quality of the given model. This paper focuses upon Non-Convex Optimization Algorithms such as SGD, EM Algorithm, Alternating Minimization and its potential applications in the real world such as Low-Rank Matrix Recovery, Linear Regression, Sparse Dictionary and relatively many others.