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- Weak_duality abstract "In applied mathematics, weak duality is a concept in optimization which states that the duality gap is always greater than or equal to 0. That means the solution to the primal (minimization) problem is always greater than or equal to the solution to an associated dual problem. This is opposed to strong duality which only holds in certain cases. If is a feasible solution for the primal minimization linear program and is a feasible solution for the dual maximization linear program, then the weak duality theorem can be stated as , where and are the coefficients of the respective objective functions. More generally, if is a feasible solution for the primal minimization problem and is a feasible solution for the dual maximization problem, then weak duality implies where and are the objective functions for the primal and dual problems respectively.".
- Weak_duality wikiPageID "34390896".
- Weak_duality wikiPageRevisionID "582922418".
- Weak_duality hasPhotoCollection Weak_duality.
- Weak_duality notability "February 2012".
- Weak_duality technical "February 2012".
- Weak_duality unreferenced "January 2012".
- Weak_duality subject Category:Convex_optimization.
- Weak_duality subject Category:Linear_programming.
- Weak_duality subject Category:Mathematical_optimization.
- Weak_duality comment "In applied mathematics, weak duality is a concept in optimization which states that the duality gap is always greater than or equal to 0. That means the solution to the primal (minimization) problem is always greater than or equal to the solution to an associated dual problem. This is opposed to strong duality which only holds in certain cases.".
- Weak_duality label "Weak duality".
- Weak_duality sameAs m.0h_9b__.
- Weak_duality sameAs Q7977943.
- Weak_duality sameAs Q7977943.
- Weak_duality wasDerivedFrom Weak_duality?oldid=582922418.
- Weak_duality isPrimaryTopicOf Weak_duality.