
doi: 10.1007/bf01068878
In three previous papers of the author [Cybernetics 19, 247-252 (1983; Zbl 0527.90068), Eng. Cybern. 20, 20-30 (1982; Zbl 0527.90079), and Autom. Remote Control 43, 1014-1020 (1983; Zbl 0529.49017)] the coordinate-free approach to simplex-type algorithms was developed. In this paper this approach is applied to the dual simplex method for linear and convex programming problems with linear constraints. It enables to consider the infinite-dimensional problems with finite number of inequality constraints without reduction to any kind of canonical form.
Methods of successive quadratic programming type, Convex programming, Numerical mathematical programming methods, dual simplex method, simplex-type algorithms, Linear programming, linear constraints, coordinate-free approach
Methods of successive quadratic programming type, Convex programming, Numerical mathematical programming methods, dual simplex method, simplex-type algorithms, Linear programming, linear constraints, coordinate-free approach
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