Abstract: Model predictive control (MPC) typically includes a terminal constraint to guarantee stability of the closed-loop system under nominal conditions. In linear MPC, this constraint is generally ...

I discovered artificial intelligence tool GPT Excel in my quest to cut down on all the busywork it takes to create and update spreadsheets. Carly Quellman, aka Carly Que, is a multimedia strategist ...

Introductory programming courses are considered difficult and challenging for students. They have to focus on and develop different skills related to problem-solving and programming domains ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...

To the extent that you’re familiar with magnetostriction, you probably know that it’s what makes big transformers hum, or that it’s what tips you off if you happen to walk out of a store without ...

Linear programming (LP) solvers are crucial tools in various fields like logistics, finance, and engineering, due to their ability to optimize complex problems involving constraints and objectives.

Python implementation of a Sudoku solver using Linear Programming (LP). The solver can handle Sudoku puzzles of varying difficulties and can find multiple solutions if they exist.

Since the open-pit precedence-constrained production scheduling problem is an NP-hard problem, solving it is always a challenging task, especially from a long-term perspective because a mineral ...