【Lecture 17】Nonconvex Optimization: First Order Methods.

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Large-Scale Nonlinear Optimization (Nonconvex Optimization and Its Applications) (Gianni Di Pillo, Massimo Roma)

Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization

The scientific problems that Big Data faces may be network scientific problems. Network analytics contributes a great deal to networked Big Data processing. Many network issues can be modeled as nonconvex optimization problems and consequently they can be addressed by optimization techniques. In the pipeline of nonconvex optimization techniques, evolutionary computation gives an outlet to handle these problems efficiently. Because, network community discovery is a critical research agenda of network analytics, in this chapter we focus on the evolutionary computation based nonconvex optimization for network community discovery. The single and multiple objective optimization models for the community discovery problem are thoroughly investigated. Several experimental studies are shown to demonstrate the effectiveness of optimization based approach for big network community analytics

文章目录2021Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization 2021 Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization paper: https://arxiv.org/abs/2009.13586

Nonconvex dynamic spectrum allocation for cognitive radio networks via particle swarm optimization and simulated annealing

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