The Factorization Approach to Large-Scale Linear Programming,
Abstract
A unifying concept for large-scale linear programming is developed. This approach called 'factorization' allows one to isolate the effect of different types of constraints and variables in the algebraic representation of the tableau. Two different factorizations based on a double representation of the basic tableau are presented. The use of factorization to obtain efficient algorithms for generalized upper bounding and block diagonal constraints as well as the general network problem is discussed. Computational results for a new network algorithm based on factorization are presented. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Aug 01, 1973
- Accession Number
- AD0768876
Entities
People
- G. W. Graves
- R. D. Mcbride
Organizations
- University of California, Los Angeles