Notes on Linear Programming

Part I: The Generalized Simplex Method for Minimizing a Linear Form Under Linear Inequality Restraints

by George Bernard Dantzig, Alex Orden, Philip S. Wolfe


Download Free Electronic Document

FormatFile SizeNotes
PDF file 0.8 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.


Purchase Print Copy

 FormatList Price Price
Add to Cart Paperback17 pages $20.00 $16.00 20% Web Discount

The first of a series of papers on the determination of optimum solutions to systems of linear inequalities. The present paper develops a theory for avoiding assumptions regarding rank of underlying matrices which has import in applications where little or nothing is known about the rank of some linear inequality system requiring solution.

This report is part of the RAND Corporation Research memorandum series. The Research Memorandum was a product of the RAND Corporation from 1948 to 1973 that represented working papers meant to report current results of RAND research to appropriate audiences.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.