In mathematics, Slater's condition (or Slater condition) is a sufficient condition for strong duality to hold for a convex optimization problem, named...

{\displaystyle \mathbf {g} (\mathbf {x} _{0})<\mathbf {0} } (i.e., Slater's condition holds). Then with an optimal vector x ∗ {\displaystyle \mathbf {x}...

Fenchel–Moreau theorem) the primal problem is a linear optimization problem Slater's condition for a convex optimization problem. Under certain conditions (called...

point in which all nonlinear constraints are strictly satisfied (Slater's condition), then the optimal solution to the dual program equals the optimal...

the closedness condition holds automatically. In convex optimization, various kinds of constraint qualification, e.g. Slater's condition, are responsible...

assaulting Slater during an argument at a Hard Rock Cafe while on vacation in Las Vegas. Haddon allegedly threw a glass bottle and cut Slater's neck. The...

those having a convex lower level and satisfying a regularity condition (e.g. Slater's condition), can be reformulated to single level by replacing the lower-level...

sufficient condition for strong duality to hold for a SDP problem (and in general, for any convex optimization problem) is the Slater's condition. It is also...

any function which relates to primal and dual problems Slater's condition — sufficient condition for strong duality to hold in a convex optimization problem...

;[citation needed] the primal problem is a linear optimization problem; Slater's condition for a convex optimization problem. For a convex minimization problem...