Sentence examples for a bounded optimization from inspiring English sources

where x ^ t, u, m = arg max x t, u, m ≤ y t, u p ( x t, u, m | y t, r, m ) (5). is the imputation resulting from the m th CG, a bounded optimization problem which can be solved by the MAP algorithm as in the correlation-based approach.

In this paper, the branch and bound approach is implemented by using the following steps: 1) solve the bounded optimization problem 2) call a recursive procedure to perform branch and bound until a solution is found or termination criteria are satisfied.

There are several possibilities how to further incorporate priority classes, for example, by adjusting the upper bound of the upper bounded optimization problem, the stop criterion or by using an alternative criterion for dropping users.

We approach the bounded optimization problem (18) by dividing it into two subproblems: first, a subset of users is determined who cannot be served and therefore get no resources, ; second, for the remaining users the upper bounded optimization problem from Section 5.1 is solved.

which gives the upper bounded optimization problem (38a).

The bounded optimization problem is shows as follow.

For solving the bounded optimization problem (18), it is useful to solve the unbounded problem only for a subset of "variable" users.

If the CID provided by the bounded optimization does not satisfy the integrality constraint, the RecursiveBranchBound procedure will be called to perform branch and bound approach to find the solution, as shown below.

The NPV functional is efficiently maximized using a Bound Optimization BY Quadratic Approximation, BOBYQA, algorithm.

Mean shift is a bound optimization.

The scheme bounds optimization iterations to a reasonable limit and defines an annealing schedule that scales up with application and architecture complexity.