Interest in linear programming has recently been intensified by the publication and discussion of a projective method algorithm that is not only polynomial in complexity, but is also claimed by its inventor (N. Karmarkar) to be 50–100 times faster than the simplex method. This paper provides a survey of the projective method from a computational viewpoint
A simple but efficient algorithm is presented for linear programming. The algorithm computes the pro...
Numerous problems in control and systems theory can be formulated in terms of linear matrix inequali...
Numerous problems in control and systems theory can be formulated in terms of linear matrix inequali...
Interest in linear programming has recently been intensified by the publication and discussion of a ...
Karmarkar's linear programming algorithm handles inequality constraints by changing variables t...
P(論文)Since G.B.Dantzig proposed Simplex Method for solving the linear programming problems, a lot of...
Since G.B.Dantzig proposed Simplex Method for solving the linear programming problems, a lot of exte...
Introduction to Linear Programming Linear programming is a very important class of problems, both a...
The simplex method is the well-known, non-polynomial solution technique for linear programming probl...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
The most time-consuming part of the Karmarkar algorithm for linear programming is computation of the...
SIGLEAvailable from British Library Document Supply Centre- DSC:9106.1605(CU-DAMTP-NA--12/1991) / BL...
In a recent paper, Shaw and Goldfarb show that a version of the standard form projective algorithm c...
An Analog of Karmarkar's Algorithm for Inequality Constrained Linear Programs, with a New Class of P...
A simple but efficient algorithm is presented for linear programming. The algorithm computes the pro...
A simple but efficient algorithm is presented for linear programming. The algorithm computes the pro...
Numerous problems in control and systems theory can be formulated in terms of linear matrix inequali...
Numerous problems in control and systems theory can be formulated in terms of linear matrix inequali...
Interest in linear programming has recently been intensified by the publication and discussion of a ...
Karmarkar's linear programming algorithm handles inequality constraints by changing variables t...
P(論文)Since G.B.Dantzig proposed Simplex Method for solving the linear programming problems, a lot of...
Since G.B.Dantzig proposed Simplex Method for solving the linear programming problems, a lot of exte...
Introduction to Linear Programming Linear programming is a very important class of problems, both a...
The simplex method is the well-known, non-polynomial solution technique for linear programming probl...
This work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/16...
The most time-consuming part of the Karmarkar algorithm for linear programming is computation of the...
SIGLEAvailable from British Library Document Supply Centre- DSC:9106.1605(CU-DAMTP-NA--12/1991) / BL...
In a recent paper, Shaw and Goldfarb show that a version of the standard form projective algorithm c...
An Analog of Karmarkar's Algorithm for Inequality Constrained Linear Programs, with a New Class of P...
A simple but efficient algorithm is presented for linear programming. The algorithm computes the pro...
A simple but efficient algorithm is presented for linear programming. The algorithm computes the pro...
Numerous problems in control and systems theory can be formulated in terms of linear matrix inequali...
Numerous problems in control and systems theory can be formulated in terms of linear matrix inequali...