Two linear programming algorithms for the linear discrete $L_{1}$ norm problem
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- by Ronald D. Armstrong and James P. Godfrey PDF
- Math. Comp. 33 (1979), 289-300 Request permission
Abstract:
Computational studies by several authors have indicated that linear programming is currently the most efficient procedure for obtaining ${L_1}$, norm estimates for a discrete linear problem. However, there are several linear programming algorithms, and the "best" approach may depend on the problemβs structure (e.g., sparsity, triangularity, stability). In this paper we shall compare two published simplex algorithms, one referred to as primal and the other referred to as dual, and show that they are conceptually equivalent.References
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Additional Information
- © Copyright 1979 American Mathematical Society
- Journal: Math. Comp. 33 (1979), 289-300
- MSC: Primary 90C05
- DOI: https://doi.org/10.1090/S0025-5718-1979-0525398-2
- MathSciNet review: 0525398