Resources and supplemental materials Max flow / min cut Theorem Network flows (Princeton University; also includes how we can use network flows to solve bipartite matchings) Ford-Fulkerson algorithm ...

Researchers have created a revolutionary network flow algorithm that enables ultra-fast computations for dynamic networks, transforming how problems in theoretical computer science are approached and ...

Researchers have devised an "absurdly fast" algorithm to solve the problem of finding the fastest flow through a network.

Discover an innovative approach to solving the maximum flow problem in parametric networks. Our method eliminates the need for piecewise linear functions and offers the advantage of conditional ...

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 ...

This algorithm solves the minimum-cost maximum-flow problem for networks that incrementally change as new connections are added. Furthermore, in a second paper accepted by the IEEE Symposium on ...

In 2022, a team of computer scientists presented a groundbreaking algorithm for the maximum flow problem: How does one transport the most supplies from a source node to a sink node in a network while ...

To address these difficulties, this paper develops a co-evolutionary algorithm to solve the constrained many-objective optimization problem of optimal power flow, which evolves three populations with ...

Financial loss in power systems is an emerging problem that needs to be resolved. To tackle the mentioned problem, energy generated from various generation sources in the power network needs proper ...