Pages that link to "Item:Q1380442"

The following pages link to Finding the minimum weight IIS cover of an infeasible system of linear inequalities (Q1380442):

Displaying 18 items.

• Some approaches to the solution of optimization problems in supervised learning (Q267571) (← links)
• Combinatorial Benders cuts for decomposing IMRT fluence maps using rectangular apertures (Q336468) (← links)
• Solution techniques for the large set covering problem (Q868387) (← links)
• On the approximability of minimizing nonzero variables or unsatisfied relations in linear systems (Q1274926) (← links)
• Consistency, redundancy, and implied equalities in linear systems (Q1380438) (← links)
• An effective polynomial-time heuristic for the minimum-cardinality IIS set-covering problem (Q1380443) (← links)
• Complexity of minimum irreducible infeasible subsystem covers for flow networks (Q1752598) (← links)
• Optimization approaches to supervised classification (Q1753623) (← links)
• Identifying relatively irreducible infeasible subsystems of linear inequalities (Q2241565) (← links)
• A two-phase relaxation-based heuristic for the maximum feasible subsystem problem (Q2459384) (← links)
• Faster maximum feasible subsystem solutions for dense constraint matrices (Q2669801) (← links)
• Logic-based benders decomposition with a partial assignment acceleration technique for avionics scheduling (Q2676319) (← links)
• Identifying Minimally Infeasible Subsystems of Inequalities (Q4021366) (← links)
• A Subgradient-Based Approach for Finding the Maximum Feasible Subsystem with Respect to a Set (Q5110557) (← links)
• The maximum feasible subset problem (maxFS) and applications (Q5884385) (← links)
• Bi‐objective optimization of the tactical allocation of job types to machines: mathematical modeling, theoretical analysis, and numerical tests (Q6080592) (← links)
• Convex representation of metabolic networks with Michaelis-Menten kinetics (Q6540660) (← links)
• Cardinality minimization, constraints, and regularization: a survey (Q6585278) (← links)