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A Stable Algorithm for Solving the Multifacility Location Problem Involving Euclidean Distances

Published: 01 December 1980 Publication History

Abstract

There is a rapidly growing interdisciplinary interest in the application of location models to real life problems. Unfortunately, the current methods used to solve the most popular minisum and minimax location problems are computationally inadequate. A more unified and numerically stable approach for solving these problems is proposed. Detailed analysis is done for the linearly constrained Euclidean distance minisum problem for facilities located in a plane. Preliminary computational experience suggests that this approach compares favourably with other methods.

References

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  1. A Stable Algorithm for Solving the Multifacility Location Problem Involving Euclidean Distances

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      cover image SIAM Journal on Scientific and Statistical Computing
      SIAM Journal on Scientific and Statistical Computing  Volume 1, Issue 4
      1980
      126 pages

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      Society for Industrial and Applied Mathematics

      United States

      Publication History

      Published: 01 December 1980

      Author Tags

      1. continuous location problems
      2. nonsmooth optimization
      3. numerical linear algebra

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