In traditional multi-commodity flow theory, the task is to send a certain amount of each commodity from its start to its target node, subject to capacity constraints on the edges. However, no restriction is imposed on the number of paths used for delivering each commodity; it is thus feasible to spread the flow over a large number of different paths. Motivated by routing problems arising in rea...

Abstract. We address the two-commodity maximum flow problem on undirected networks. As a result of a change of variables, we introduce a new formulation that solves the problem through classical maximum flow techniques with only one-commodity. Therefore, a general strategy, based on this change of variables, is defined to deal with other undirected multi-commodity problems. Finally, we extend t...

Clusters built from commodity hardware and software have several advantages over more traditional supercomputers. Commodity clusters are cheap and ubiquitous, and so they are easier to design, program and maintain. However, even as high-speed networks reach 10Gb/s speeds and modern computer architectures reach past 1Ghz, new commodity clusters are not able to harness this power. One of the bott...

Current digital currency schemes provide instantaneous exchange on precise commodity, in which ”precise” means a buyer can possibly verify the function of the commodity without error. However, imprecise commodities, e.g. statistical data, with error existing are abundant in digital world. Existing digital currency schemes do not offer a mechanism to help the buyer for payment decision on precis...

In classical linear network flow (LNF) problems, a network consists of multiple source and sink nodes, where each node is a sink node or a source node, but not both. Usually, there is only one kind of commodity flow and the goal is to find flow schedules and routes such that all sink nodes’ flow demands are satisfied and the total flow transmission cost is minimized. We develop a capacity expan...

s for the conference on ”Energy and Commodity Risk Management and hedging of Commodity Derivatives” Wolfgang Pauli Institute, Vienna

FirstpubIished in Studies in Philosophy and Social Sciences Vol. IX (1941), thearticle is a large-scale investigation of that "fetish "of technique, ortechnical efficiency, which, after 1941, represented for critical theory, especially for Marcuse, the key ideological replacement of the commodity fetish under modern industralized authoritarian states. With respect to Marcuse's better-known late...

We apply a commodity-money refinement to matching models in which people meet in pairs and buyers make take-it-or-leave-it offers to sellers. The refinement is applied by attaching a utility value to nominal money and letting that value approach zero. An equilibrium satisfies the refinement if it is such a limit. We show that the refinement eliminates a class of non full-support steady states. ...

It is argued that the vector space measures used to measure closeness of market prices to predictors for market prices are invalid because of the observed metric of commodity space. An alternative representation in Hilbert space within which such measures do apply is proposed. It is shown that commodity exchanges can be modeled by the application of unitary operators to this space. In 1983 Farj...

This paper focuses on a nonlinear stochastic model for financial simulation and forecasting based on assumptions of multivariate stochastic correlation, with an application to the European market. We present in particular the key elements of a structured hierarchical econometric model that can be used to forecast financial and commodity markets relying on statistical and simulation methods. The...