As a natural extension of Roos and Vial's "Long steps with logarithmic penalty barrier function in llnear programming" (1989) and Ye's "An O(n³L) potential reduction algorithm for linear programming" (1989), it will be shown that the classical logarithmic barrier function method can be adjusted so that it generates the optimal solution in O(√nL) iterations, where n is the number of variables and L is the data length.departmental bulletin pape
AbstractWe propose a new polynomial potential-reduction method for linear programming, which can als...
AbstractA new comprehensive implementation of a primal-dual algorithm for linear programming is desc...
This paper supersedes arXiv:1405.4161. 31 pages, 5 figures, 1 tableInternational audienceWe prove th...
As a natural extension of Roos and Vial\u27s "Long steps with logarithmic penalty barrier function i...
summary:It is well known that a large neighborhood interior point algorithm for linear optimization ...
In order to solve the primal linear programming problems (and its dual) some methods have been used...
This study examines two different barrier functions and their use in both path-following and potenti...
This study examines two different barrier functions and their use in both path-following and potenti...
summary:In this paper, we propose a large-update primal-dual interior point algorithm for linear opt...
There are many literatures in the field of interior point methods for exploring the properties of li...
Applying a higher order primal-dual logarithmic barrier method for solving large real-life linear pr...
Besides the simplex algorithm, linear programs can also be solved via interior point methods. The th...
AbstractIn this paper we propose two potential reduction algorithms, which we call Algorithm 1 and A...
Includes bibliographical references (p. 16-17).Supported by a Presidential Young Investigator Award....
this paper we have selected the primal-dual logarithmic barrier algorithm to present our ideas, beca...
AbstractWe propose a new polynomial potential-reduction method for linear programming, which can als...
AbstractA new comprehensive implementation of a primal-dual algorithm for linear programming is desc...
This paper supersedes arXiv:1405.4161. 31 pages, 5 figures, 1 tableInternational audienceWe prove th...
As a natural extension of Roos and Vial\u27s "Long steps with logarithmic penalty barrier function i...
summary:It is well known that a large neighborhood interior point algorithm for linear optimization ...
In order to solve the primal linear programming problems (and its dual) some methods have been used...
This study examines two different barrier functions and their use in both path-following and potenti...
This study examines two different barrier functions and their use in both path-following and potenti...
summary:In this paper, we propose a large-update primal-dual interior point algorithm for linear opt...
There are many literatures in the field of interior point methods for exploring the properties of li...
Applying a higher order primal-dual logarithmic barrier method for solving large real-life linear pr...
Besides the simplex algorithm, linear programs can also be solved via interior point methods. The th...
AbstractIn this paper we propose two potential reduction algorithms, which we call Algorithm 1 and A...
Includes bibliographical references (p. 16-17).Supported by a Presidential Young Investigator Award....
this paper we have selected the primal-dual logarithmic barrier algorithm to present our ideas, beca...
AbstractWe propose a new polynomial potential-reduction method for linear programming, which can als...
AbstractA new comprehensive implementation of a primal-dual algorithm for linear programming is desc...
This paper supersedes arXiv:1405.4161. 31 pages, 5 figures, 1 tableInternational audienceWe prove th...