Researchers at the University of California San Diego were selected for a $5 million award from the U.S. Department of Energy ...

A small project to using the AMPL modeling language to formulate, CPLEX to solve, and Python to visualize mixed-integer linear programs for several envy-free fair division problems. Includes a full ...

Some adopt the traditional excel solver approach while some use modeling tactics to unravel complex linear programming problems. So, What Is The Best Software For Linear Programming? We’ll try to ...

Interval regression modeling for a class of uncertain nonlinear system has not been widely studied to data. The proposed modeling method, differently from standard deterministic models, is composed of ...

Linear programming (LP) is a mathematical optimization technique used to achieve the best outcome, such as maximum profit or minimum cost, in a mathematical model whose requirements are ...

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data.

To obtain a minimum backbone grid, a mixed integer linear programming (MILP) model with network connectivity constraints for a minimum backbone grid is proposed. In the model, some constraints are ...