Abstract: This article introduces a new class of memristor neural networks (NNs) for solving, in real-time, quadratic programming (QP) and linear programming (LP) problems. The networks, which are ...

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 ...

In the classical secretary problem an employer would like to choose the best candidate among n competing candidates that arrive in a random order. In each iteration, one candidate's rank vis-a-vis ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions. The landscape of linear ...

This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.

remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...

Abstract: Linear programming is often applied in real-life situations and computer science, particularly in various resource allocation problems, such as optimizing the production of machines that ...

Daily Fantasy Football lineup builder and optimizer created with Node.js and React.js. Build DraftKings contest lineups manually or optimize with linear programming for the highest projected lineup ...

Linear programming is used to maximize or minimize a linear objective function subject to one or more constraints, while mixed integer programming (MIP) adds one additional condition: that at least ...