This article describes a common type of regression analysis called linear regression2 and how the Intel® Data Analytics Acceleration Library (Intel® DAAL)3 helps optimize this algorithm when ...

Through using a linear optimization model that interprets solar energy and current deficit parameters, investment plans were performed for countries which have current deficit problem of energy source ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

Inverse optimisation and linear programming have emerged as crucial instruments in addressing complex decision-making problems where underlying models must be inferred from observed behaviour. At ...

The compressibility of natural gas allows the use of line pack to compensate for fluctuations of gas demand. On the basis of forecast consumption, a linear-programming model can ...

As a contribution to solving this problem in the Yucatán Shelf Octopus (Octopus maya) fishery, a multi-criteria non-linear optimization procedure was applied to a dynamic bioeconomic model of the ...

Gurobi Optimization, LLC, the leader in decision intelligence technology, is pleased to announce the launch of Gurobi AI Modeling, a new set of resour ...