In this paper, we give a theoretical analysis for the algorithms to compute functional decomposition for multivariate polynomials based on differentiation and homogenization which ...
We study the problem of finding optimal strategies for a life insurance company or pension fund that acts on behalf of an insured so as to maximize the expected utility (in a gene...
This paper1 addresses a family of robustness problems in which the system under consideration is affected by interval matrix uncertainty. The main contribution of the paper is a n...
Teodoro Alamo, Roberto Tempo, Daniel R. Ramí...
Abstract. A new iterative algorithm for the solution of minimization problems in infinitedimensional Hilbert spaces which involve sparsity constraints in form of p-penalties is pro...
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...