Table of contents for Concentration of measure for the analysis of randomized algorithms / Devdatt Dubhashi, Alessandro Panconesi.

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1. Chernoff-Hoeffding bounds; 2. Applying the CH-bounds; 3. CH-bounds with dependencies; 4. Interlude: probabilistic recurrences; 5. Martingales and the MOBD; 6. The MOBD in action; 7. Averaged bounded difference; 8. The method of bounded variances; 9. Interlude: the infamous upper tail; 10. Isoperimetric inequalities and concentration; 11. Talagrand inequality; 12. Transportation cost and concentration; 13. Transportation cost and Talagrand's inequality; 14. Log-Sobolev inequalities; Appendix A. Summary of the most useful bounds.

Library of Congress subject headings for this publication:
Random variables.
Distribution (Probability theory)
Limit theorems (Probability theory)