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Research on Algorithms for Nonlinear Programming.
Final rept. 1 Sep 84-31 Aug 87,
STANFORD UNIV CA SYSTEMS OPTIMIZATION LAB
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This document includes the following reports containing the research results Properties of a Representation of a Basis for the Null Space Model Building and Practical Aspects of Nonlinear Programming A Practical Approach to Karmarkars Algorithm On Projected Newton Barrier Methods for Linear Programming and an Equivalence to KarMarkars Projective method Users Guide for LSSOL Version 1.0 A Fortran Package for Constrained Linear Least-Squares and Convex Quadratic Programming Users Guide for NPSOL Version 4.0 A Fortran Package for Nonlinear Programming Some Theoretical Properties of an Augmented Lagrangian Merit Function Maintaining LU Factors of a General Sparse Matrix and A Single-Phase Method for Quadratic Programming.
APPROVED FOR PUBLIC RELEASE