Sentence examples for stochastic allocation from inspiring English sources

This setup describes a stochastic allocation problem, which we analyze as a variant of the prescheduled workload problem described in [4].

The same Lagrangian approach used to solve the stochastic allocation problem can also be used to solve the related known-workload problem.

The Lagrangian framework we use to solve the stochastic allocation problem can also be used to make statements about these types of heuristics.

This section describes various properties of the Lagrangian optimation technique and uses these properties to analyze the behavior and performance of the Lagranian solution to the stochastic allocation algorithm.

In other words, after transforming the original optimization problem into the Lagrangian form, we can find an optimal set of configurations for a particular workload in the larger stochastic allocation problem without doing a search across configurations in other workloads.

This setup describes a stochastic allocation problem that differs from problems previously solved in the literature in that not only are applications entering and exiting the system, but they are doing so in an unscheduled and unpredictable way.

With these assumptions, the stochastic resource allocation problem can be stated as (2).

In Section 5, we propose the stochastic resource allocation algorithms to approach the globally solutions.

Similarly, the stochastic resource allocation policy can also be proposed when employing DF relaying strategy.

Ghaderi and Rahmanian (2015) propose a robust stochastic single allocation hub location problem based on the p-robust concept.

The problem considered is NP-hard, where efficient stochastic recourse allocation method is developed based on the Lagrange optimization approach.