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Some more numerical experiments with LSNNO, a Fortran subroutine for solving large-scale nonlinear network optimization problems

 

作者: D. Tuyttens,  

 

期刊: Optimization Methods and Software  （Taylor Available online 1994）
卷期: Volume 3, issue 1-3  

页码: 93-110

 

ISSN:1055-6788

 

年代: 1994

 

DOI:10.1080/10556789408805558

 

出版商: Gordon and Breach Science Publishers

 

关键词: Nonlinear optimization;Nonlinear network optimization;Truncated Newton methods;Large-scale problems;Independent superbasic arcs.

 

数据来源: Taylor

 

摘要:

This paper presents some more numerical experiments with LSNNO, a new FORTRAN subroutine for solving large-scale nonlinear network optimization problems. The implemented algorithm applies the concepts of partial separability and partitioned quasi-Newton updating to high-dimensional nonlinear network optimization problems. The experiments reported involve both academic and practical problems.

 

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