Topical coverage includes the application of convex analysis in statistical contexts, Jensen-type inequalities for trigonometrically $\rho$-convex functions, and Hermite-Hadamard type inequalities for h-convex functions. This book also examines exponentially general convex functions, variational inequalities, and the stability of monotone variational inequalities in Hilbert spaces. Additionally, it addresses complex issues such as nonsmooth multiobjective semi-infinite programming, network centrality through Game Theory, and time series forecasting.

This volume is an invaluable resource for mathematicians, researchers, and advanced students interested in the latest developments in convex and variational analysis. By providing both theoretical insights and practical applications, the book serves as a bridge between abstract mathematical concepts and real-world problems, making it a must-read for anyone engaged in mathematical research or applications.