Document Type

Technical Report

Department

Computer Science and Engineering

Publication Date

2009

Filename

wucse-2009-31.pdf

DOI:

10.7936/K7WD3XTH

Technical Report Number

wucse-2009-31

Abstract

We present a novel constraint-partitioning approach for solving continuous nonlinear optimization based on augmented Lagrange method. In contrast to previous work, our approach is based on a new constraint partitioning theory and can handle global constraints. We employ a hyper-graph partitioning method to recognize the problem structure. We prove global convergence under assumptions that are much more relaxed than previous work and solve problems as large as 40,000 variables that other solvers such as IPOPT [11] cannot solve.

Comments

Permanent URL: http://dx.doi.org/10.7936/K7WD3XTH

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