Canonical dual approach to solving 0-1 quadratic programming problems
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Bibliographic record
Abstract
By using the canonical dual transformation developedrecently, we derive a pair of canonical dual problems for 0-1quadratic programming problems in both minimization and maximizationform. Regardless convexity, when the canonical duals are solvable,no duality gap exists between the primal and corresponding dualproblems. Both global and local optimality conditions are given. Analgorithm is presented for finding global minimizers, even when theprimal objective function is not convex. Examples are included toillustrate this new approach.
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Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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