Linear optimal power flow (OPF) formulations are powerful tools applied to a large number of problems in power systems, e.g., economic dispatch, expansion planning, state estimation, congestion ...

Linear programming is one of the most widely applied solutions to optimization problems. This paper presents a privacy-preserving solution to linear programming for two parties when the cost, or ...

Breaking science news and articles on global warming, extrasolar planets, stem cells, bird flu, autism, nanotechnology, dinosaurs, evolution -- the latest discoveries ...

This is due to the greater nutritional level flexibility provided by non-linear programming, which establishes the required nutritional levels to obtain the highest profit according to the economic ...

# In the present example :class:`~sklearn.linear_model.ElasticNet` yields the # best score and captures the most of the predictive features, yet still fails # at finding all the true components.

PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented using templates which allows switching to ...

For example, consider the craftswoman example with the Vertex Distance encoding in Figure 3. This encoding might be interesting for our craftswoman if the value (i.e., cost vector) for the table and ...

For example, Papp et al 43 observed synergistic neurotoxicity of combined exposure of Hg, Mn and Pb among male Wistar rats.43 While the exact relationships between Hg, Cr and Mn in triggering cardiac ...

The experiment involves a domain model, with UML class diagrams representing the domain abstractions and UML object diagrams representing examples of using these abstractions. The goal is to provide ...

Self-driving laboratories (SDLs) promise an accelerated application of the scientific method. Through the automation of experimental workflows, along with autonomous experimental planning, SDLs hold ...