Jeremiah Blocki, [email protected]: Monday @ 3:30 PM. GHC 7th floor lounge. Students can email me if they want to meet at a different time. Anvesh Komuravelli, [email protected]: Friday @ 4 ...

Most developers learn algorithms like sorting, BFS, and dynamic programming early in their careers. But there are some algorithms so elegant and mathematically deep that they completely change how we ...

Ford-Fullkerson-Algorithm/ ├── src/ # Source code │ ├── utils.h/.c # Utility functions and data structures │ ├── graph.h/.c # Graph representation and operations │ ├── path.h/.c # Path finding ...

Abstract: The exponential growth of the global Internet of Things (IoT) network demands robust connectivity and enhanced Quality of Service (QoS) metrics such as reliability and low latency. With the ...

The app that simplifies group expenses, Splitwise, has solved more than everyday problems. It has quietly reshaped how groups of people handle shared money. With a net valuation of over $100 million ...

Abstract: Graph algorithms play a pivotal role in solving allocation problems, which are fundamental across diverse domains such as transportation, telecommunications, supply chain management, and ...

Hospitals are complex systems, and the flow of patients is dynamic and nonlinear in such systems. Network representation allows flow algorithms to observe bottlenecks as candidates for optimisation.

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

A solution to P vs NP could unlock countless computational problems—or keep them forever out of reach. 1. On Monday, July 19, 2021, in the middle of another strange pandemic summer, a leading computer ...

ABSTRACT: Maximum Flow Problem (MFP) discusses the maximum amount of flow that can be sent from the source to sink. Edmonds-Karp algorithm is the modified version of Ford-Fulkerson algorithm to solve ...