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20012021
most citedApproximating distribution functions by iterated function systems

17 citations · 21 across the 7 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2021

A vector logistic dynamical approach to epidemic evolution on interacting social-contact and production-capacity graphs

Jan B. Broekaert, Davide La Torre

Population inhomogeneity, in the variation of the individual social contact networks and the individual infectious-recovery rates, renders the dynamics of infectious disease spread…

math.OC2020

Optimization of Structural Similarity in Mathematical Imaging

D. Otero, D. La Torre, O. Michailovich +1

It is now generally accepted that Euclidean-based metrics may not always adequately represent the subjective judgement of a human observer. As a result, many image processing metho…

econ.TH2019

A Multicriteria Macroeconomic Model with Intertemporal Equity and Spatial Spillovers

Herb Kunze, Davide La Torre, Simone Marsiglio

We analyze a macroeconomic model with intergenerational equity considerations and spatial spillovers, which gives rise to a multicriteria optimization problem. Intergenerational eq…

math.NA2019

Solving Inverse Problems for Steady-State Equations using A Multiple Criteria Model with Collage Distance, Entropy, and Sparsity

Herb Kunze, Davide La Torre

In this paper, we extend the previous method for solving inverse problems for steady-state equations using the Generalized Collage Theorem by searching for an approximation that no…

econ.TH2019

Optimal Control of Prevention and Treatment in a Basic Macroeconomic-Epidemiological Model

Davide La Torre, Tufail Malik, Simone Marsiglio

We analyze the optimal control of disease prevention and treatment in a basic SIS model. We develop a simple macroeconomic setup in which the social planner determines how to optim…

math.NA2019★ 4 cited

Using the Generalized Collage Theorem for Estimating Unknown Parameters in Perturbed Mixed Variational Equations

A. I. Garralda-Guillem, H. Kunze, D. La Torre +1

In this paper, we study a mixed variational problem subject to perturbations, where the noise term is modelled by means of a bilinear form that has to be understood to be "small" i…

math.ST2001★ 17 cited

Approximating distribution functions by iterated function systems

Stefano M. Iacus, Davide La Torre

In this paper an iterated function system on the space of distribution functions is built. The inverse problem is introduced and studied by convex optimization problems. Some appli…