Local h bound for the floor is a term used in computer science and mathematics to refer to a specific type of constraint used in optimization problems. The local h bound for the floor is a bound on the optimal value of a given optimization problem that can be computed by relaxing certain constraints in the problem.
In particular, the local h bound for the floor is used to determine an upper bound on the minimum value that a given optimization problem can achieve. This bound is obtained by relaxing some constraints in the problem and solving the resulting relaxed problem to find an upper bound on the optimal value.
The local h bound for the floor is especially useful in situations where it is difficult to compute the exact optimal value of an optimization problem due to its complexity. By using this bound, researchers and practitioners can obtain a good estimate of the optimal value without having to solve the entire optimization problem.
Overall, the local h bound for the floor is a valuable tool in optimization theory and has applications in various fields such as computer science, operations research, and engineering.
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