A dual approach to primal degeneracy
Mathematical Programming: Series A and B - Mathematical Models and Their Solutions
Steepest-edge simplex algorithms for linear programming
Mathematical Programming: Series A and B
Numerical Methods
The Dual Active Set Algorithm and Its Application to Linear Programming
Computational Optimization and Applications
Computational Optimization and Applications
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Recently, a linear programming problem solver, called dual projective simplex method, was proposed (Pan, Computers and Mathematics with Applications, vol. 35, no. 6, pp. 119–135, 1998). This algorithm requires a crash procedure to provide an initial (normal or deficient) basis. In this paper, it is recast in a more compact form so that it can get itself started from scratch with any dual (basic or nonbasic) feasible solution. A new dual Phase-1 approach for producing such a solution is proposed. Reported are also computational results obtained with a set of standard NETLIB problems.