… is liftable to the relational level too. Specifically, we lift linear programs—the most tractable,
best … fragment of mathematical programs—by introducing relational linear programs (RLPs). …

… According to our single linear programming problem in problem (4), we set up a linear
programming model to solve this example by using the Lingo software released 9.0. The …

… We propose relational linear programming, a simple … in linear programs. Before touching
upon directions for future work and concluding, we illustrate relational linear programming on …

LP models are usually constructed using index sets and data tables which are closely related
to the attributes and relations of relational database (RDB) systems. We extend the syntax …

… Here, we present a novel mixed integer linear programming model especially for clustering
relational networks, which have important applications in social sciences and bioinformatics. …

… Interval linear programming since then has been developed into … linear programming by
considering existence of interval variables and proposed a Grey Interval Linear Programming …

… Linear programming (LP)-based applications have addressed this production planning …
A relational database approach was used to create an integrated linear programming-based …

… We consider the relational inference problem within the reasoning with classifiers paradigm,
and study a specific but fairly general instantiation of this problem, motivated by the problem …

… In this section, we give a method to finding an optimal solution to linear programming
problem based on \((\vee ,\wedge )\) composition. For the study of fuzzy optimization of linear …

… we have investigated relational programming is that it simplifies reasoning about programs
. This … In this section we present a short example of relational programming . Let T be a finite …