Sentence examples for augmented objective from inspiring English sources

Then, the contrivance for aggregating the imaging systems (methods), when solving the fusion problem, is the formation of the augmented objective (or augmented ME cost) function E ( b ∣ λ ) = - H ( b ) + 1 ∕ 2 ∑ p = 1 P λ P J P ( b ) + 1 ∕ 2 λ P + 1 J P + 1 ( b ), (19).

The basic idea is to solve the redundancy as an unconstrained optimization problem where the redundancy is integrated with the path tracking and the obstacle avoidance constraints into an augmented objective function.

17 In the Phase III registration trial, a subanalysis of patients that received retreatment upon disease progression showed ipilimumab further augmented durable objective responses and/or stable disease.

It is traditionally constructed to solve nonlinear programs by augmenting the objective function or a corresponding Lagrange function some penalty or barrier terms with respect of the constraints.

An augmented Chebyshev scalarising objective function is incorporated in the methodology for modelling any number of objectives, while an additive penalty function handles potential constraints.

The design of compliant mechanisms is mathematically represented as a general non-linear programming with a new objective function augmented by the high-order energy term.

The full-waveform inversion method is based on a constrained optimization framework that is implemented using Karush Kuhn Tucker (KKT) optimality conditions to minimize the objective functional augmented by PML-endowed wave equations via Lagrange multipliers.

To solve the bi-objective model, augmented ε-constraint approach is utilized.

Specifically, the focus of global routing has shifted so that it is important to augment the congestion objective with metrics for timing and crosstalk.

The formulation consists of a basic set of constraints that can be augmented with a variety of objective functions.

Therefore, the objective function is augmented with a fairness term G n : Greening 4 : ∑ n ∈ N w n R n δ ∑ n ∈ N G n ( P n ) maximize s ∈ S P n ≤ P n, tot, n ∈ N, subject to ∑ n ∈ N P n ≤ β ∑ n ∈ N P n, tot, (21).