Sentence examples for guarantees the optimization from inspiring English sources

A sensitivity analysis allowed the definition of a profile design that guarantees the optimization of both the thermodynamic cycle and the mechanical stresses.

This approach guarantees the optimization of the optical fiber routing inside the backplane with respect to specific criteria (i.e. bending power losses), addressing both transmission performance and overall costs issues.

Now we provide the following assumption that holds throughout the paper and guarantees the optimization problem (3.3) will be well defined.

Additional mechanisms, that include the use of content based as well as collaborative recommendation techniques, that use both explicit and implicit information to profile users, will be integrated to help on recommending the most appropriate content for each player with the objective of guaranteeing the optimization of contributions due to the increase of satisfaction.

From the programmer's perspective this technique is inadequate because it provides no guarantee that the optimization will be performed.

Convergence to the global minimum is guaranteed, since the optimization problem is convex and the global minimizer for the enriched dataset is found using a warm-start algorithm.

Furthermore, to guarantee that the optimization problem Equation 19 has solutions, S ≥ l k is required.

Suris et al. [16] have made it clear that the convexity of the utility space (U) is a sufficient condition to guarantee that the optimization problem of the Nash product (NP) is a Nash bargaining game.

Even though the BLE solution does not guarantee the performance optimization, our BLE concept can make this equilibrium possible in real-world operations.

In the context of dynamic optimization, Sequential Quadratic Programming (SQP) methods, which guarantee feasibility of the solution at convergence, or feasible SQP methods, which guarantee feasibility throughout the optimization, have shown to be efficient in the solution of large-scale constrained NLPs.

Due to the nonconvexity of the optimization problem the optimality of the algorithm is not guaranteed.