| Generating box-constrained optimization problems |
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ACM Transactions on Mathematical Software (TOMS)
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Volume 23 , Issue 3 (September 1997)
table of contents
Pages: 443 - 447
Year of Publication: 1997
ISSN:0098-3500
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Downloads (6 Weeks): 18, Downloads (12 Months): 48, Citation Count: 2
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ABSTRACT
We present a method for generating box-constrained nonlinear programming test problems. The technique allows the user to control some properties of the generated test problems that are know to influence the behavior of algorithms for their solution. A corresponding set of Fortran 77 routines is described in a companion algorithm (774).
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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AVERICK, B., CARTER, R., MORI~, J., AND XUE, G.-L. 1992. The MINPACK-2 test problem collection. Rep. MCS-p153-0692, Argonne National Laboratory, Argonne, IL.
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LOOTSMA, F. 1985. Comparative performance evaluation, experimental design and generation of test problems in nonlinear optimization. In Proceedings of the NATO Advanced Study Institute (Bad Windsheim, July 23-Aug. 2, 1984), K. Schittkowski, Ed. Springer- Verlag New York, Inc., New York, NY, 249-260.
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NASH, S. AND NOCEDAL, J. 1991. A numerical study of the limited memory BFGS method and the truncated-Newton method for large scale optimization. SIAM J. Optim. 1, 3 (Aug.), 358-372.
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SCHITTKOWSKI, K. 1980. Nonlinear Programming Codes: Information, Tests, Performance. Springer Lecture Notes in Economics and Mathematical Systems, vol. 183. Springer-Verlag, Berlin, Germany.
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SCHITTKOWSKI, K. 1992. Randomly Generated Nonlinear Programming Test Problems. Springer Lecture Notes in Control and Information Sciences, vol. 187. Springer-Verlag, Berlin, Germany.
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