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  • Convex polyhedral sets  (1)
  • Redundancy  (1)
  • simplex method  (1)
  • 1
    Digitale Medien
    Digitale Medien
    Springer
    Journal of optimization theory and applications 45 (1985), S. 33-39 
    ISSN: 1573-2878
    Schlagwort(e): Linear programming ; simplex method ; unrestricted variables ; simplex multipliers ; LU-factorization
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Abstract Suppose that the simplex method is applied to a linear programming problem havingm equality constraints andr unrestricted variables. We give a method of performing the steps of the simplex method which reduces the arithmetic operation count byrm at each iteration. This savings in operations is achieved, since the method does not update the rows of the basis inverse associated with the unrestricted variables. Similar computational savings are achieved when the method is applied to the updating of anLU-factorization of the basis matrix.
    Materialart: Digitale Medien
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  • 2
    Digitale Medien
    Digitale Medien
    Springer
    Journal of optimization theory and applications 61 (1989), S. 137-142 
    ISSN: 1573-2878
    Schlagwort(e): Convex polyhedral sets ; linear inequalities ; minimal representation ; prime representation ; redundancy
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Abstract Consider a convex polyhedral set represented by a system of linear inequalities. A prime representation of the polyhedron is one that contains no redundant constraints. We present a sharp upper bound on the difference between the cardinalities of any two primes.
    Materialart: Digitale Medien
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  • 3
    Digitale Medien
    Digitale Medien
    Springer
    Journal of optimization theory and applications 62 (1989), S. 225-237 
    ISSN: 1573-2878
    Schlagwort(e): Redundancy ; degeneracy ; linear constraints ; linear programming
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Abstract This paper presents a degenerate extreme point strategy for active set algorithms which classify linear constraints as either redundant or necessary. The strategy makes use of an efficient method for classifying constraints active at degenerate extreme points. Numerical results indicate that significant savings in the computational effort required to classify the constraints can be achieved.
    Materialart: Digitale Medien
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