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A Lower Bound for Primality
- A Lower Bound for Primality Eric Allender Dept. of Computer Science Rutgers University
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A Lower Bound for Primality
- A Lower Bound for Primality ∗ Eric Allender † Dept. of Computer Science Rutgers University
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Mind the Duality Gap: Logarithmic regret algorithms for online optimization
- 7function at time t (which is a lower bound on primal value). The function ∇f ⋆ is the gradient
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Approximate labeling via graph-cuts based on linear programming
- is to make use of the fact that the primal 8 LP gives a lower bound to the primal IP (integer program
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Geometric programming duals of channel capacity and rate distortion
- fact in Lagrange duality theory [4]: the Lagrange dual function is always a lower bound on the primal
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Fast SDP relaxations of graph cut clustering, transduction, and other combinatorial problems
- duality, and says that the dual maximum is a lower bound for the primal minimum (see e.g. Boyd
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Solving Covering Problems Using LPR-Based Lower Bounds
- ,which, by the weak duality theorem, always provides a lower bound for the primal problem. However, his examples
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Topology Cuts: A Novel Min-Cut/Max-Flow Algorithm for Topology Preserving Segmentation in N
- -flow of the graph corresponds to finding a lower bound of the primal problem. In the ideal situation this lower
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On Constant Power Water-filling
- (#) = inf x L(x, #). It is easy to see that g(#) is a lower bound on the optimal f 0 (x): f 0 (x) # f 0
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Distributed Optimization for Cooperative Agents: Application to Formation Flight
- provable lower and upper bounds on the global solution. However, there is no guarantee that a solution
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