ON THE PRIMAL-DUALAFFINE SCALING METHOD PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download ON THE PRIMAL-DUALAFFINE SCALING METHOD PDF full book. Access full book title ON THE PRIMAL-DUALAFFINE SCALING METHOD by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 19
Get Book Here
Book Description
Author: Levent Tuncel
Publisher:
ISBN:
Category :
Languages : en
Pages : 32
Get Book Here
Book Description
Author: Stephen J. Wright
Publisher: SIAM
ISBN: 089871382X
Category : Technology & Engineering
Languages : en
Pages : 293
Get Book Here
Book Description
Presents the major primal-dual algorithms for linear programming. A thorough, straightforward description of the theoretical properties of these methods.
Author: I. I. Dikin
Publisher:
ISBN:
Category :
Languages : en
Pages : 13
Get Book Here
Book Description
Author: Romesh Salgal
Publisher:
ISBN:
Category :
Languages : en
Pages : 21
Get Book Here
Book Description
Author: G. Zhao
Publisher:
ISBN:
Category :
Languages : en
Pages : 11
Get Book Here
Book Description
Author: Xiaodong Yang
Publisher:
ISBN:
Category :
Languages : en
Pages : 122
Get Book Here
Book Description
Author: Stanford University. Department of Operations Research. Systems Optimization Laboratory
Publisher:
ISBN:
Category :
Languages : en
Pages : 44
Get Book Here
Book Description
We proposed a build-up interior method for solving an m equation n variable linear program which has the same convergence properties as their well known analogues in dual affine and projective forms but requires less computational effort. The algorithm has three forms, an affine scaling form, a projective scaling form, and an exact form (that used pivot steps). In this paper, we present the first of these. It differs from Dikin's algorithm of dual affine form in that the ellipsoid chosen to generate the improving directions in dual space is constructed from only a subset of the dual constraints. Keywords: Iterations. (KR).
Author: Jos Fredrik Sturm
Publisher:
ISBN:
Category :
Languages : en
Pages : 22
Get Book Here
Book Description
Author: Nimrod Megiddo
Publisher: Springer Science & Business Media
ISBN: 1461396174
Category : Mathematics
Languages : en
Pages : 164
Get Book Here
Book Description
The starting point of this volume was a conference entitled "Progress in Mathematical Programming," held at the Asilomar Conference Center in Pacific Grove, California, March 1-4, 1987. The main topic of the conference was developments in the theory and practice of linear programming since Karmarkar's algorithm. There were thirty presentations and approximately fifty people attended. Presentations included new algorithms, new analyses of algorithms, reports on computational experience, and some other topics related to the practice of mathematical programming. Interestingly, most of the progress reported at the conference was on the theoretical side. Several new polynomial algorithms for linear program ming were presented (Barnes-Chopra-Jensen, Goldfarb-Mehrotra, Gonzaga, Kojima-Mizuno-Yoshise, Renegar, Todd, Vaidya, and Ye). Other algorithms presented were by Betke-Gritzmann, Blum, Gill-Murray-Saunders-Wright, Nazareth, Vial, and Zikan-Cottle. Efforts in the theoretical analysis of algo rithms were also reported (Anstreicher, Bayer-Lagarias, Imai, Lagarias, Megiddo-Shub, Lagarias, Smale, and Vanderbei). Computational experiences were reported by Lustig, Tomlin, Todd, Tone, Ye, and Zikan-Cottle. Of special interest, although not in the main direction discussed at the conference, was the report by Rinaldi on the practical solution of some large traveling salesman problems. At the time of the conference, it was still not clear whether the new algorithms developed since Karmarkar's algorithm would replace the simplex method in practice. Alan Hoffman presented results on conditions under which linear programming problems can be solved by greedy algorithms."
