Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

In this paper, we present the results of a new approach to the splitting factor preconditioner, which is a preconditioner based on the Incomplete Cholesky factorization and the splitting ...

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Issues are used to track todos, bugs, feature requests, and more.

Add a description, image, and links to the linear-programming-problem topic page so that developers can more easily learn about it.

When I was reporting my ed tech series, I stumbled on one of the most disturbing things I’ve read in years about how technology might interfere with human connection: an article on the website of the ...

There is no doubt that we can use the new method to solve other sets of equations that we did not have to deal with in previous studies, such as using it to solve partial differential equations, ...

Abstract: Linear programming(LP) is the term used for defining a wide range of optimization problems in which the objective function to be minimized or maximized is linear in the unknown variables and ...

Many practical problems can be formulated using integer programming. An Integer Linear Program (ILP) can be written as (1). In Richard et al. (2003), the authors present a simplex-based algorithm for ...

Linear programming is a relatively new mathematical discipline, dating from the invention of the simplex method by G. B. Dantzig in 1947. He proposed the simplex algorithm as an efficient method to ...