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Showing papers on "Network theory published in 1978"


Journal ArticleDOI
TL;DR: The network approach is then used to derive a canonical set of differential equations for reaction--diffusion systems, and an analysis of the Brusselator is presented as an example.

28 citations


Journal ArticleDOI
TL;DR: In this article, the authors show how network theory may be applied to gain new and better insights into basic economic problems, starting with a precise definition of what is meant by acting and in particular by economic acting, and direct the line of argumentation toward solving the problem of how to aggregate economic decisions.
Abstract: The article attempts to show how network theory may be applied to gain new and better insights into basic economic problems. Starting with a precise definition of what is meant by acting and, in particular, by economic acting, we direct the line of argumentation toward solving the problem of how to aggregate economic decisions. Results indicate that network theory might well prove itself to be a powerful instrument in developing a theory of human behavior much more comprehensive than currently used models.

17 citations



Book
01 Jan 1978

4 citations


Journal ArticleDOI
TL;DR: In this paper, the problem of determining a vector that places a system in a state of equilibrium is studied with the aid of mathematical programming, which derives from the logical equivalence between the general equilibrium problem and the complementarity problem.
Abstract: : The problem of determining a vector that places a system in a state of equilibrium is studied with the aid of mathematical programming. The approach derives from the logical equivalence between the general equilibrium problem and the complementarity problem. When the excess demand function g(x) meets certain separability conditions, equilibrium solutions are obtained by using an established branch and bound algorithm. Because the best upper bound is known at the outset, an independent check for convergence can be made at each iteration of the algorithm, thereby greatly increasing its efficiency. A number of examples drawn from economic and network theory are presented in order to demonstrate the computational aspects of the approach. The results appear promising for a wide range of problem sizes and types, with solutions occurring in a relatively small number of iterations.

2 citations