We present a faster implementation of the polynomial time primal simplex algorithm due to Orlin [23]. His algorithm requires O(nm min{log(nC), m log n}) pivots and O(n2 m ??n{log nC, m log n}) time. The bottleneck operations in his algorithm are performing the relabeling operations on nodes, selecting entering arcs for pivots, and performing the pivots. We show how to speed up these operations so as to yield an algorithm whose running time is O(nm. log n) per scaling phase. We show how to extend the dynamic-tree data-structure in order to implement these algorithms. The extension may possibly have other applications as well
A specification of the Primal Simplex algorithm for the minimal cost flow problem in a processing ne...
Cover title.Includes bibliographical references (p. 12).Supported in part by the ONR. N00014-1-0099 ...
The minimum-cost flow problem is: Given a network with n vertices and m edges, find a maximum flow o...
Cover title.Includes bibliographical references (p. 25-27).Supported by ONR. N00014-94-1-0099 Suppor...
"November 1988."Includes bibliographical references (p. 24-26).Ravindra K. Ahyja and James B. Orlin
We present a new network simplex pivot selection rule, which we call the minimum ratio pivot rule, a...
We present a primal simplex algorithm that solves the assignment problem in 1 2n(n+3)-4 pivots. Star...
AbstractWe present a primal simplex algorithm that solves the assignment problem in 12n(n+3)−4 pivot...
We consider the minimum cost network flow problem min(cx: Ax=b, x> 0) on a graph G = (V,E). First...
This paper presents a new dual network simplex algorithm for the minimum cost network flow problem. ...
Abstract We consider a network simplex method using the primal-dual symmetric pivoting rule proposed...
Includes bibliographical references.Supported in part by the Presidential Young Investigator Grant o...
Several pivot rules for the dual network simplex algorithm that enable it to solve a maximum flow pr...
We consider the minimum cost network flow problem min(cx: Ax=b, x> 0) on a graph G = (V,E). First...
We propose to classify the power of algorithms by the complexity of the problems that they can be us...
A specification of the Primal Simplex algorithm for the minimal cost flow problem in a processing ne...
Cover title.Includes bibliographical references (p. 12).Supported in part by the ONR. N00014-1-0099 ...
The minimum-cost flow problem is: Given a network with n vertices and m edges, find a maximum flow o...
Cover title.Includes bibliographical references (p. 25-27).Supported by ONR. N00014-94-1-0099 Suppor...
"November 1988."Includes bibliographical references (p. 24-26).Ravindra K. Ahyja and James B. Orlin
We present a new network simplex pivot selection rule, which we call the minimum ratio pivot rule, a...
We present a primal simplex algorithm that solves the assignment problem in 1 2n(n+3)-4 pivots. Star...
AbstractWe present a primal simplex algorithm that solves the assignment problem in 12n(n+3)−4 pivot...
We consider the minimum cost network flow problem min(cx: Ax=b, x> 0) on a graph G = (V,E). First...
This paper presents a new dual network simplex algorithm for the minimum cost network flow problem. ...
Abstract We consider a network simplex method using the primal-dual symmetric pivoting rule proposed...
Includes bibliographical references.Supported in part by the Presidential Young Investigator Grant o...
Several pivot rules for the dual network simplex algorithm that enable it to solve a maximum flow pr...
We consider the minimum cost network flow problem min(cx: Ax=b, x> 0) on a graph G = (V,E). First...
We propose to classify the power of algorithms by the complexity of the problems that they can be us...
A specification of the Primal Simplex algorithm for the minimal cost flow problem in a processing ne...
Cover title.Includes bibliographical references (p. 12).Supported in part by the ONR. N00014-1-0099 ...
The minimum-cost flow problem is: Given a network with n vertices and m edges, find a maximum flow o...