These fixed-point iterations are obtained for operators associated with the convex objective function. Emphasizing the connection to fixed-point theory unleashes some powerful tools, e.g., on the ...

In this paper we provide a unified theoretical analysis of multi-attribute graph learning using a penalized log-likelihood objective function. We consider both convex (sparse-group lasso) and ...

C. Combari, L. Thibault, On the Graph Convergence of Subdifferentials of Convex Functions, Proceedings of the American Mathematical Society, Vol. 126, No. 8 (Aug ...

Matrix inequalities and convex functions constitute a central theme in modern mathematical analysis, with far‐reaching implications across numerical analysis, optimisation, quantum information ...

R. Ramesh, Mark H. Karwan, Stanley Zionts, Preference Structure Representation Using Convex Cones in Multicriteria Integer Programming, Management Science, Vol. 35 ...