Sentence examples for derives distributed from inspiring English sources

Particularly, we propose an integer linear programming model that derives distributed applications with minimum communication costs.

Van Renesse and Schneider are using stepwise refinement to derive distributed algorithms from specification.

In this paper, we first derive distributed algorithm for problem P1.

where the variables are M n, x n, and z n for all n ∈ N. In this section, we derive distributed algorithm for problem (16).

The above expression cannot be used to derive distributed power allocation because it would imply the knowledge of non-local channel gains, i.e., the equivalent channel gains between all BSs and the user k, at BS b.

In this paper, we mainly focus on two numerical approaches for finding the routing direction of each grid point (i.e., the first stage), namely the fast marching (FM) method [8] for position-only-dependent costs and the finite element method (FEM) [9], including its derived distributed algorithm (namely distributed Gauss-Seidel iteration with FEM, DGSI-FEM), for traffic-proportional costs.

We also investigate two numerical approaches for finding the routing direction, the fast marching method for position-only-dependent costs and the finite element method (and its derived distributed algorithm, Gauss-Seidel iteration with finite element method (DGSI-FEM)) for traffic-proportional costs.

Our goal is to derive distributed methods in which Node i computes the component x ˆ i of the estimate x ˆ, corresponding to x i, using only the local measurement y i and information received from its neighbors (a formal definition of neighborhood will be given later).

This work derives a distributed and iterative algorithm by which mobile terminals can selfishly control their transmit powers during the synchronization procedure specified by the IEEE 802.16 m and the 3GPP long-term evolution standards for orthogonal frequency-division multiple-access technologies.

Finally, we derive a distributed block splitting algorithm based on graph projection splitting.

It is a challenge to derive a distributed solution to latency-minimizing data aggregation under the physical interference model because of the simple fact that global-scale information to compute the cumulative interference is needed at any node.