The authors further relaxed the stringent constraint of disjoint set by allowing sensors to participate in multiple sets, and designed two heuristics (one based on linear programming and one greedy) to efficiently solve the maximum set cover problem [5].
The original model has 332 degrees of freedom, and, therefore, the system was underdetermined and appropriate for the utilization of optimization-based methods, such as the ones based on linear programming approaches.
Because the reduced feasible set is defined in (3) by linear constraints, we propose an alternative algorithm to the EM-based approach based on linear programming (LP) to compute the FBID of a perturbation.
In general, fuzzy regression methods are divided into two categories: the first one is based on linear programming (LP) approach and the second one is based on the fuzzy least squares (FLS) approach.
Next, two techniques based on spline for parameter estimation will be proposed: one is based on linear programming (LP) which is very efficient and can cover many special structured systems and the other one is based on NLP which is flexible and can cater for general system structures.
Flux balance analysis (FBA), as one of the most prominent of the MFA methods, is based on linear programming (LP) whereby a given objective function (e.g., biomass yield) is optimized under the assumption that the system operates at steady state under the constraints given by the stoichiometric matrix [ 11, 13- 16].
These algorithms are typically based on linear programming techniques.
An on-line relay coordination algorithm based on linear programming technique was reported in [69].
The second strategy is an effective lower bound based on linear programming (LP).
For the class of linear systems a design approach based on linear programming is proposed.
The method which is based on linear programming techniques, is illustrated by examples.
