Progress in Mathematical Programming

Edited by Nimrod Megiddo

in Springer Books from Springer

Date: 1989
ISBN: 978-1-4613-9617-8
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Ch Chapter 1 An Algorithm for Solving Linear Programming Problems in O(n 3 L) Operations

Clovis C. Gonzaga

Ch Chapter 2 A Primal-Dual Interior Point Algorithm for Linear Programming

Masakazu Kojima, Shinji Mizuno and Akiko Yoshise

Ch Chapter 3 An Extension of Karmarkar’s Algorithm and the Trust Region Method for Quadratic Programming

Yinyu Ye

Ch Chapter 4 Approximate Projections in a Projective Method for the Linear Feasibility Problem

Jean-Philippe Vial

Ch Chapter 5 A Locally Weil-Behaved Potential Function and a Simple Newton-Type Method for Finding the Center of a Polytope

Pravin M. Vaidya

Ch Chapter 6 A Note on Comparing Simplex and Interior Methods for Linear Programming

J. A. Tomlin

Ch Chapter 7 Pricing Criteria in Linear Programming

J. L. Nazareth

Ch Chapter 8 Pathways to the Optimal Set in Linear Programming

Nimrod Megiddo

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprbok:978-1-4613-9617-8

Ordering information: This item can be ordered from
http://www.springer.com/9781461396178

DOI: 10.1007/978-1-4613-9617-8

Access Statistics for this book

More books in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().