The aim of this tutorial is to provide an overview, although necessarily incomplete, of game
theory (GT) for signal processing (SP) in networks. One of the main features of this …

Stock data is known to be chaotic in nature and it is a challenging task to predict the non-
linear patterns of such data. Forming an optimal portfolio of stocks is yet another challenging …

Network slicing to enable resource sharing among multiple tenants-network operators
and/or services-is considered as a key functionality for next generation mobile networks …

Portfolio selection is one of the important issues in financial investments. This article is
concerned with portfolio selection based on collaborative neurodynamic optimization. The …

With the rapid development of financial market, a growing number of stocks become
available on the financial market. How to efficiently select these stocks to achieve higher …

Financial engineering and electrical engineering are seemingly different areas that share
strong underlying connections. Both areas rely on statistical analysis and modeling of …

In this paper, we propose a successive pseudoconvex approximation algorithm to efficiently
compute stationary points for a large class of possibly nonconvex optimization problems …

In this paper, we consider a stochastic Nash game in which each player minimizes a
parameterized expectation-valued convex objective function. In deterministic regimes …

Groundwater management in China has been facing challenges from both climate change
and urbanization and is considered as a national priority nowadays. However …

We analyze a Nash equilibrium problem arising when trades from different accounts are
pooled for execution. We introduce a new general multi-portfolio model and state sufficient …