28 results on '"Balasundaram, Balabhaskar"'
Search Results
2. On atomic cliques in temporal graphs
3. Graph signatures: Identification and optimization
4. Detecting a most closeness-central clique in complex networks
5. On the chance-constrained minimum spanning k-core problem
6. Finding a maximum k-club using the k-clique formulation and canonical hypercube cuts
7. On the 2-Club Polytope of Graphs
8. Detecting large risk-averse 2-clubs in graphs with random edge failures
9. A Specialty Steel Bar Company Uses Analytics to Determine Available-to-Promise Dates
10. The minimum spanning k-core problem with bounded CVaR under probabilistic edge failures
11. Significant Winter Weather Events and Associated Socioeconomic Impacts (Federal Aid Expenditures) across Oklahoma : 2000–10
12. Clique Relaxations in Social Network Analysis: The Maximum k-Plex Problem
13. An exact algorithm for the maximum probabilistic clique problem
14. A branch-and-bound approach for maximum quasi-cliques
15. On Fault-Tolerant Low-Diameter Clusters in Graphs.
16. Algorithms for detecting optimal hereditary structures in graphs, with application to clique relaxations
17. On characterization of maximal independent sets via quadratic optimization
18. Variable objective search
19. Topology design for on-demand dual-path routing in wireless networks
20. Approximation algorithms for finding and partitioning unit-disk graphs into co-k-plexes
21. On a Polynomial Fractional Formulation for Independence Number of a Graph
22. Novel Approaches for Analyzing Biological Networks
23. A Bayesian framework for functional calibration of expensive computational models through non-isometric matching.
24. An Ellipsoidal Bounding Scheme for the Quasi-Clique Number of a Graph.
25. SNP variable selection by generalized graph domination.
26. Correction to: Finding a maximum k-club using the k-clique formulation and canonical hypercube cuts.
27. Approaches for finding cohesive subgroups in large-scale social networks via maximum k-plex detection.
28. Constructing test functions for global optimization using continuous formulations of graph problems.
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