In case the semidefinite program is linear, the first and second conditions in (7) ensure that Ω is a feasible point of the dual problem (5), and the last ...

We present algorithms to calculate the stability radius of optimal or approximate solutions of binary programming problems with a min–sum or min–max objective ...

Theorem 3.1 gives us optimality conditions for the semidefinite program (1) if we assume strict primal and dual feasibility: x is optimal if and only if there ...

Semidefinite programming is a form of convex optimization that generalizes linear programming, and also provides a unified framework for several standard.

Aug 22, 2001 · Semidefinite optimization is concerned with choosing a symmetric matrix to optimize a linear function subject to linear constraints and a ...

Semidefinite Programming: Optimality Conditions and Stability ; Stability Theory for Systems of Inequalities, Part II: Differentiable Nonlinear Systems. Robinson ...

Feb 28, 2017 · • Investigating the conditions to obtain zero relaxation gap. • Investigating how to achieve scalability. • Extending this formulation to ...

Dec 17, 2015 · In this work, we derive second-order optimality conditions for nonlinear semidefinite program- ming (NSDP) problems, by reformulating it as an ...

Jul 25, 2024 · Duality gap: The duality gap refers to the difference between the optimal values of a primal optimization problem and its dual counterpart. This ...

Missing: Conditions | Show results with:Conditions