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.

Linear semi-infinite programming (LSIP) is a branch of optimisation that focuses on problems where a finite number of decision variables is subject to infinitely many linear constraints.

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

The focus of this course will be on formulating, building and solving optimization models primarily using Microsoft Excel. Topics to be covered include linear programming, assignment models, ...

This project implements a pipeline for dense 3D reconstruction from stereo images and pose recovery using non-linear optimization. The main objectives are: Generate a dense 3D point cloud from ...

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 ...

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 ...