Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Alvaro Maggiar"'
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
SIAM Journal on Optimization. 28:1478-1507
In this paper we consider the optimization of a functional $F$ defined as the convolution of a function $f$ with a Gaussian kernel. We propose this type of objective function for the optimization of the output of complex computational simulations, wh
Publikováno v:
2018 Winter Simulation Conference (WSC).
Autor:
Alvaro Maggiar, Irina S. Dolinskaya
Publikováno v:
Journal of Guidance, Control, and Dynamics. 37:813-827
This paper presents an algorithm that constructs a fastest curvature-constrained path in a direction-dependent environment for given initial and target locations and heading angles. The problem studied here is a generalization of the classical Dubins
Publikováno v:
Journal of Combinatorial Optimization. 28:38-57
Considerable research has been done on the vehicle routing problem and its variants; however only limited amount of existing work deals with possible environmental conditions and their effects on the vehicle routes. This paper presents the multiple-d
Autor:
Alvaro Maggiar, Ali Sadighian
Publikováno v:
SSRN Electronic Journal.
We study the problem of a retailer that maximizes profit through joint replenishment, pricing and removal decisions. This problem is motivated by the observation that retailers usually retain rights to remove inventory from their network either by re
Autor:
Alvaro Maggiar, Irina S. Dolinskaya
Publikováno v:
The International Journal of Robotics Research. 31:1761-1793
This paper characterizes time-optimal trajectories in anisotropic (direction-dependent) environments where path curvatures are bounded by the inverse of the minimum-turning radius of a mobile agent. Such problems are often faced in the navigation of
Autor:
Alvaro Maggiar
Publikováno v:
SSRN Electronic Journal.
In this paper we study the application of the Black-Litterman model to an active fixed-income portfolio management. We present a rigorous derivation of the model in a general setting and then move on to apply it to active management. We derive the ch