Solving large nonconvex water resources management models using generalized benders decomposition
Nonconvex nonlinear programming (NLP) problems arise frequently in water resources management, e.g., reservoir operations, groundwater remediation, and integrated water quantity and quality management. Such problems are usually large and sparse. Existing software for global optimization cannot cope...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Institute for Operations Research and the Management Sciences (INFORMS)
2001
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/156499 |
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