Abstract: In this work, we extend the simplex algorithm of linear programming for finding a local minimum of a concave quadratic function subject to box constraints. In order to test the performance ...

The proof objects generated will always be trivial: q&#0620 : q &#062 0 0&#062=0 : 0 &#062= 0 (&#062&#062= q&#0620) : q &#062= 0 q&#0620 : q &#062 0 0&#062=0 : 0 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

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 its ...

Abstract: This study investigates the controller design for permanent magnet synchronous linear motor (PMSLM) under variable load disturbances and internal parameter uncertainties, while applying deep ...