COPS: Large-scale nonlinearly constrained optimization problems

Bondarenko, A.S. ; Bortz, D.M. ; More, J.J.

Argonne National Laboratory

关键词: Nonlinear Problems;    Optimization;    99 Mathematics, Computing, And Information Science;    Performance Testing;    Computer Codes;   

DOI  :  10.2172/751934
RP-ID  :  ANL/MCS-TM--237
RP-ID  :  W-31109-ENG-38
RP-ID  :  751934

美国|英语

来源: UNT Digital Library

【 摘 要 】

The authors have started the development of COPS, a collection of large-scale nonlinearly Constrained Optimization Problems. The primary purpose of this collection is to provide difficult test cases for optimization software. Problems in the current version of the collection come from fluid dynamics, population dynamics, optimal design, and optimal control. For each problem they provide a short description of the problem, notes on the formulation of the problem, and results of computational experiments with general optimization solvers. They currently have results for DONLP2, LANCELOT, MINOS, SNOPT, and LOQO.