This looks at the issues which arose in porting the pvmmake utility from PVM to MPI. Pvmmake is a PVM application which allows a user to send les, execute commands, and receive results from a single machine on any machine in the virtual machine. Its actions are controlled by the contents of a connguration le. Its most common use is to enable management of the development of a parallel program i...

We take a utility-based approach to categorization. We construct generalizations about events and actions by considering losses associated with failing to distinguish among detailed distinctions in a decision model. The utility-based methods transform detailed states of the world into more abstract categories comprised of disjunctions of the states. We show how we can cluster distinctions into ...

This paper describes a study of agent bidding strategies, assuming combinatorial valuations for complementary and substitutable goods, in three auction environments: sequential auctions, simultaneous auctions, and the Trading Agent Competition (TAC) Classic hotel auction design, a hybrid of sequential and simultaneous auctions. The problem of bidding in sequential auctions is formulated as an M...

In this paper, we consider a scenario where an eavesdropper can read the content of messages transmitted over a network. The nodes in the network are running a gradient algorithm to optimize a quadratic utility function where such a utility optimization is a part of a decision making process by an administrator. We are interested in understanding the conditions under which the eavesdropper can ...

Static optimization of networks by pricing has attracted significant attention over the last decade. These studies assumed concave utility functions for users and derived optimal pricing strategies for the network provider. In this paper, we consider effect of user’s elasticity to price and bandwidth on optimality of pricing. We first derive optimal pricing strategy for the case of logarithmic ...

A new breed of industry known as B2B (business-to-business) ehub operation is emerging. Previous studies in this area focus either on its intermediation function or on its role as a supply chain optimization facilitator. In this study, we observed the functionality of ehubs in an integrative way and categorized them into seven groups. Each of the functional groups is analyzed and its role in B2...

Abstract— In this paper, we propose an optimization model for interactive segmentation of multiple images. The user marks some sample pixels or objects in one or more images. Then, the method employs the samples as strong priors to automatically segment other input images. A good feature of the method is that the segmentation is highly controllable by the user, so that the user can easily obtai...

In this paper we implement a Local Linear Regression Ensemble Committee (LOLREC) to predict 1-day-ahead returns of 453 assets form the S&P500. The estimates and the historical returns of the committees are used to compute the weights of the portfolio from the 453 stock. The proposed method outperforms benchmark portfolio selection strategies that optimize the growth rate of the capital. We inve...

Current research suggests that the large downside risk in hedge fund returns disqualifies the variance as an appropriate risk measure. For example, one can easily construct portfolios with nonlinear pay-offs that have both a high Sharpe ratio and a high downside risk. This paper examines the consequences of shortfall-based risk measures in the context of portfolio optimization. In contrast to p...

The purpose of this study is to introduce CoP reward allocation (COREA) system that efficiently solves a mathematical optimization problem to optimally allocate limited financial reward and to promote knowledge sharing activities in CoPs. To test the validity and usefulness of COREA, we simulate three knowledge sharing climates in which the majority of CoPs performs below-, on-, or above-averag...