<--- Back to Details
First PageDocument Content
Graph theory / Mathematics / Graph connectivity / Network theory / NP-complete problems / Edsger W. Dijkstra / Shortest path problem / Graph / Path / Hamiltonian path / Distance / Biconnected component
Date: 2009-01-27 18:47:33
Graph theory
Mathematics
Graph connectivity
Network theory
NP-complete problems
Edsger W. Dijkstra
Shortest path problem
Graph
Path
Hamiltonian path
Distance
Biconnected component

Microsoft PowerPoint - Presentation2

Add to Reading List

Source URL: web.cse.ohio-state.edu

Download Document from Source Website

File Size: 172,88 KB

Share Document on Facebook

Similar Documents

EE365: Deterministic Finite State Control Deterministic optimal control Shortest path problem Dynamic programming Examples

DocID: 1vg0M - View Document

We approach the problem of computing geometric centralities, such as closeness and harmonic centrality, on very large graphs; traditionally this task requires an all-pairs shortest-path computation in the exact case, or

DocID: 1sauD - View Document

We approach the problem of computing geometric centralities, such as closeness and harmonic centrality, on very large graphs; traditionally this task requires an all-pairs shortest-path computation in the exact case, or

DocID: 1rNo2 - View Document

Network architecture / Computing / Fiber-optic communications / Network protocols / Computer architecture / Routing / Automatically switched optical network / Synchronous optical networking / Bandwidth / Multiprotocol Label Switching / Shortest path problem

Improving Restoration Success in Mesh Optical Networks Fang Yu 1, Rakesh Sinha2, Dongmei Wang3, Guangzhi Li3, John Strand2, Robert Doverspike2, Charles Kalmanek 3, and Bruce Cortez 2 1 EECS Department, UC Berkeley, Berke

DocID: 1rrH0 - View Document

Graph theory / Network flow / Mathematics / EdmondsKarp algorithm / Flow network / Maximum flow problem / FordFulkerson algorithm / Cut / Graph traversal / Minimum cut / Shortest path problem / Max-flow min-cut theorem

CS261: A Second Course in Algorithms Lecture #2: Augmenting Path Algorithms for Maximum Flow∗ Tim Roughgarden† January 7, 2016

DocID: 1rn0k - View Document