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Combinatorics, Probability and Computing

Material type:

Continuing resourcePublication details: CambridgeISSN:

1469-2163

Subject(s):

Probability

LOC classification:

https://www.cambridge.org/core/journals/combinatorics-probability-and-computing

Summary: Combinatorics, Probability & Computing is devoted to the three areas of combinatorics, probability theory and theoretical computer science. Topics covered include classical and algebraic graph theory, extremal set theory, matroid theory, probabilistic methods and random combinatorial structures; combinatorial probability and limit theorems for random combinatorial structures; the theory of algorithms (including complexity theory), randomised algorithms, probabilistic analysis of algorithms, computational learning theory and optimisation.

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Cover image	Item type	Current library	Home library	Collection	Shelving location	Call number	Materials specified	Vol info	URL	Copy number	Status	Notes	Date due	Barcode	Item holds	Item hold queue priority	Course reserves
	Electronic Resource	Main Library Serials				HTTPS://WWW.CAMBRIDGE.ORG (Browse shelf(Opens below))			Link to resource	1	Available			2163111992
	Electronic Resource	Main Library Serials				HTTPS://WWW.CAMBRIDGE.ORG (Browse shelf(Opens below))				2	Available			21632732018

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Combinatorics, Probability & Computing is devoted to the three areas of combinatorics, probability theory and theoretical computer science. Topics covered include classical and algebraic graph theory, extremal set theory, matroid theory, probabilistic methods and random combinatorial structures; combinatorial probability and limit theorems for random combinatorial structures; the theory of algorithms (including complexity theory), randomised algorithms, probabilistic analysis of algorithms, computational learning theory and optimisation.

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