Algebraic Connectivity Ratio of Ramanujan Graphs
By Reza Olfati-Saber. 2007
52 citations recorded by the source corpus.
Subfields: Geometry and Topology, Materials Chemistry, Physiology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Geometry and Topology
- Piet Van Mieghem
- Lihua Xie
- Ruggero Carli
- Soummya Kar
- Sandro Zampieri
- Luca Schenato
- Yinliang Xu
- Wenxin Liu
In Materials Chemistry
In Physiology
Citations in the corpus
- MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling (2019, background): “the best error-runtime trade-off, one can carefully design the network topology, for example, using expander graphs that are sparse while being well connected [6, 23].”
- Network Topology and Communication-Computation Tradeoffs in Decentralized Optimization (2017, background): “f practical interest since they allow fast rates of convergence—hence, few iterations—while also having relatively few links—so each iteration requires few transmissions and is thus fast to implement [35], [36]. B. Worst-case scaling of decentralized averaging One might wonder about the worst-case c”
- Algebraic Connectivity of Interdependent Networks (2014, background): “Keywords: Network of Networks, Synchronization, Laplacian, Spectral Properties, System of Systems”
- Distributed Kalman filtering based on consensus strategies (2008, background): “The linear consensus problem has been widely studied in terms of convergence of Markov Chains [9] [27] [19], and it has been recently proposed as an effective approach to solve many control problems ranging from flocking to robot rendezvous as summarized in the survey paper [17] and references there”
- Distributed Consensus With Limited Communication Data Rate (2011, background): “Ramanujan graphs are expanders which achieve the largest possible algebraic connectivity ([39]–[42]).”
- Novel Multiagent Based Load Restoration Algorithm for Microgrids (2011, background): “The optimal solution is the solution that can minimize of the iteration matrix [24].”