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  2. Strong duality - Wikipedia

    en.wikipedia.org/wiki/Strong_duality

    By definition, strong duality holds if and only if the duality gap is equal to 0. This is opposed to weak duality (the primal problem has optimal value smaller than or equal to the dual problem, in other words the duality gap is greater than or equal to zero).

  3. Weak duality - Wikipedia

    en.wikipedia.org/wiki/Weak_duality

    In applied mathematics, weak duality is a concept in optimization which states that the duality gap is always greater than or equal to 0. This means that for any minimization problem, called the primal problem, the solution to the primal problem is always greater than or equal to the solution to the dual maximization problem.

  4. Dual linear program - Wikipedia

    en.wikipedia.org/wiki/Dual_linear_program

    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.

  5. Duality (optimization) - Wikipedia

    en.wikipedia.org/wiki/Duality_(optimization)

    This fact is called weak duality. In general, the optimal values of the primal and dual problems need not be equal. Their difference is called the duality gap. For convex optimization problems, the duality gap is zero under a constraint qualification condition. This fact is called strong duality.

  6. Duality gap - Wikipedia

    en.wikipedia.org/wiki/Duality_gap

    This alternative "duality gap" quantifies the discrepancy between the value of a current feasible but suboptimal iterate for the primal problem and the value of the dual problem; the value of the dual problem is, under regularity conditions, equal to the value of the convex relaxation of the primal problem: The convex relaxation is the problem ...

  7. S-duality - Wikipedia

    en.wikipedia.org/wiki/S-duality

    In theoretical physics, S-duality (short for strong–weak duality, or Sen duality) is an equivalence of two physical theories, which may be either quantum field theories or string theories. S-duality is useful for doing calculations in theoretical physics because it relates a theory in which calculations are difficult to a theory in which they ...

  8. Conic optimization - Wikipedia

    en.wikipedia.org/wiki/Conic_optimization

    Whilst weak duality holds in conic linear programming, strong duality does not necessarily hold. [1] Semidefinite Program The dual of a semidefinite program in ...

  9. Montonen–Olive duality - Wikipedia

    en.wikipedia.org/wiki/Montonen–Olive_duality

    Montonen–Olive duality or electric–magnetic duality is the oldest known example of strong–weak duality [note 1] or S-duality according to current terminology. [note 2] It generalizes the electro-magnetic symmetry of Maxwell's equations by stating that magnetic monopoles, which are usually viewed as emergent quasiparticles that are "composite" (i.e. they are solitons or topological ...