We consider a dynamic network flow problem where the arc capacities are random variables. This gives a multistage stochastic linear program. We describe the randomness using a multi-scenario approach.

We propose a new class of algorithms for linear cost network flow problems with and without gains. These algorithms are based on iterative improvement of a dual cost and operate in a manner that is ...

Computer scientists have written a network flow algorithm that computes almost as fast as is mathematically possible. This algorithm computes the maximum traffic flow with minimum transport costs for ...

Studies linear and nonlinear programming, the simplex method, duality, sensitivity, transportation and network flow problems, some constrained and unconstrained optimization theory, and the ...

In a breakthrough that brings to mind Lucky Luke—the man who shoots faster than his shadow—Rasmus Kyng and his team have developed a superfast algorithm that looks set to transform an entire field of ...

In a breakthrough that brings to mind Lucky Luke – the man who shoots faster than his shadow – Rasmus Kyng and his team have developed a superfast algorithm that looks set to transform an entire field ...