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Strong duality is a condition in mathematical optimization in which the primal optimal objective and the dual optimal objective are equal. By definition, strong duality holds if and only if the duality gap is equal to 0.
Linear programming problems are optimization problems in which the objective function and the constraints are all linear. In the primal problem, the objective function is a linear combination of n variables. There are m constraints, each of which places an upper bound on a linear combination of the n variables. The goal is to maximize the value ...
The strong duality theorem says that if one of the two problems has an optimal solution, so does the other one and that the bounds given by the weak duality theorem are tight, i.e.: max x c T x = min y b T y. The strong duality theorem is harder to prove; the proofs usually use the weak duality theorem as a sub-routine.
Strong objectivity is a term coined by feminist philosopher Sandra Harding, known for her work on feminist standpoint theory. Harding suggests that starting research from the lives of women "actually strengthens standards of objectivity". [1] Strong objectivity can be contrasted with the "weak objectivity" of supposed value-neutral research. [2]
S.M.A.R.T. (or SMART) is an acronym used as a mnemonic device to establish criteria for effective goal-setting and objective development. This framework is commonly applied in various fields, including project management, employee performance management, and personal development.
Mainstream commentators accept that news value drives selection of stories, but there is some debate as to whether catering to an audience's level of interest in a story makes the selection process non-objective. [6] Another example of an objection to objectivity, according to communication scholar David Mindich, was the coverage that the major ...