This paper studies the design problem of delay lines in Transmitted-Reference Ultra-Wideband (TR-UWB) systems based on a new evolutionary scheme named Stepping-Dichotomy/Differential-Evolution (SD/DE) algorithm. The group delay response, required for the pass-band as an objective of the delay line, is approximated by using a new nonlinear optimization method under a maximin criterion. The proce...

This paper investigates the role of fairness, uncertainty, and a "veil of ignorance" in efficient resource allocation. It focuses on the choice of private and public goods, the method of financing, as well as the choice of information available for public decision-making. A fair-equivalent and Pareto efficient allocation is presented using a maximin criterion defined in terms of individual will...

7 We propose a novel, efficient approach for obtaining high-quality experimental designs for 8 event-related functional magnetic resonance imaging (ER-fMRI). Our approach combines a 9 greedy hillclimbing algorithm and a cyclic permutation method. When searching for optimal 10 ER-fMRI designs, the proposed approach focuses only on a promising restricted class of 11 designs with equal frequency o...

The notion of imprecise probability can be viewed as a generalization of the traditional notion of probability. Several theories and models of imprecise probability have been suggested in the literature as more appropriate representations of uncertainty in the context of single-agent decision making. In this paper I investigate the question of how such models can be incorporated into the tradit...

We derive the system throughput and outage probability performance of adaptive modulation with optimal power control in log-normal shadowing and multipath Rayleigh fading channels. We propose two objective functions, namely, maximin-SIR optimum power control and minimum outage probability optimum power control. A dynamic programming based solution to find the optimum transmit power vector is pr...

This paper considers the performance of a compensation mechanism that has received increasing attention in recent experimental literature. Our purpose is two-fold: (i) to characterize endogenous payments that can induce (mutual) cooperation in prisoner’s dilemma in the absence of social preferences; (ii) using models of quasi-maximin and inequality-aversion preferences to evaluate the possibili...

We study optimal investment problem for a diffusion market consisting of a finite number of risky assets (for example, bonds, stocks and options). Risky assets evolution is described by Itô’s equation, and the number of risky assets can be larger than the number of driving Brownian motions. We assume that the risk-free rate, the appreciation rates and the volatility of the stocks are all random...

Consider a decision maker who faces a number of possible models of the world. Every model generates objective probabilities, but no probabilities of models are given. This is the classic setting of statistical decision theory; recent and less standard applications include decision making with model uncertainty, e.g. due to concerns for misspecification, treatment choice with partial identificat...

Fair division is a fundamental problem in various multi-agent settings, where the goal to divide set of resources among agents fair manner. We study case m indivisible items need be divided n with additive valuations using popular fairness notion maximin share (MMS). An MMS allocation provides each agent bundle worth at least her share. While it known that such an not exist [1], [2], series rem...