This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

Warner Bros. Discovery’s Split Gives Company Flexibility But Doesn’t Solve Problem of Debt, Linear Decline | Analysis Pro The irony of the decoupling is that Wall Street likes the the new M&A ...

Bolte, J., Sabach, S. and Teboulle, M. (2013) Proximal Alternating Linearized Minimization for Nonconvex and Non-Smooth Problems. Mathematical Programming, 146, 459-494.

Dualizing the side constraints produces a Lagrangian problem that is easy to solve and whose optimal value is a lower bound (for minimization problems) on the optimal value of the original problem.

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

In this paper, we presented a new integer programming model for the Minimization of Open Stacks Problem (MOSP). It is based on the edge completion of a MOSP graph (to obtain an interval graph) and on ...

Solve linear optimization problems including minimization and maximization with simplex algorithm. Uses the Big M method to solve problems with larger equal constraints in Python ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it.

We present a number of contributions to the LP relaxation approach to weighted constraint satisfaction (= Gibbs energy minimization). We link this approach to many works from constraint programming, ...