However, standard FOMs, such as the primal-dual hybrid gradient (PDHG) method, are not yet reliable for LP problems, solving only a small fraction of instances. Google researchers introduce PDLP ...

Learning to Reformulate Linear Programming This repository contains an independent implementation of the paper "Accelerating Linear Programming Solving by Exploiting the Performance Variability via ...

We use mixed-precision technique, which is used to exploit the high single precision performance of modern processors, to build the first sparse mixed-precision linear programming solver on the Cell ...

Sudoku Solver using Linear Programming This repository contains a Python implementation of a Sudoku solver using Linear Programming (LP). The solver can handle Sudoku puzzles of varying difficulties ...

If your LP problem involves integer variables, you'll need a solver that supports mixed-integer linear programming (MILP) or mixed-integer quadratic programming (MIQP) if the problem is quadratic ...

In this post, I aim to introduce a digit recognition and integer linear programming based automatic sudoku solver that uses the following: Keras (based on the MNIST database [1]) and OpenCV for digit ...

Clock synchronization protocols such as the precision time protocol (PTP), which are used to synchronize components of distributed systems, are fundamental to enable timed and coordinated activities, ...

Gurobi Optimization, LLC today announced the release of Gurobi 9.0, the latest version of its industry-leading mathematical programming solver.