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.

$$ \begin{array}{ll} \underset{x \in \mathbb{R}^n}{\min} \quad & \langle c, x \rangle \\ \text{s.t.} \quad & L \leq A x \leq U, \\ & l \leq x \leq u . \end{array ...

Pull requests are welcome ! If you need a feature that is not yet implemented, get in touch. Also, do not hesitate to open issues to discuss the implementation. If you need non-linear programming, you ...

In this paper we develop a method based on the simplex method, the Karmarkar's method, and the affine scaling method to solve LP problems with O(Ln⁵) complexity. For the practical efficiency, we ...

Abstract: The paper addresses the problem of multi-agent distributed solutions for a class of linear programming (LP) problems which include box constraints on the decision variables and inequality ...

In the last blog, I gave some reasons why there is no low power (LP) analog/mixed-signal solution. However, this does not mean there is no effort in this area. Toward the end of 2009 and early 2010, I ...

In my conversations with emerging venture fund managers, I am often asked about the Limited Partner (LP) landscape in Europe. Understanding your prospects is important when you want to raise a fund.