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.

The book also addresses linear programming duality theory and its use in algorithm design as well as the ... Rader currently focuses his research in the areas of nonlinear 0-1 optimization, ...

Leon S. Lasdon, Allan D. Waren, Survey of Nonlinear Programming Applications, Operations Research, Vol. 28, No. 5 (Sep. - Oct., 1980), pp. 1029-1073. ... Several factors imply an increase in the use ...

As the title suggests, I have a problem in which I need to formulate an LP model. I'm supposed to work in Excel and use the Solver Add-in feature.I've done several other problems already, but this ...

Unlike general nonlinear optimization methods, geometric programming optimization is computationally efficient, and requires no initial guesses or hyperparameter tuning. Perhaps most importantly, all ...

A Linear Programming Approach for Battery Impairment Analysis and Optimization in Decentralized Power Systems for Agricultural Operations with Solar Energy Integration Abstract: Energy system ...