Description:
Hardback. New. This self-contained introduction to kernelization, a rapidly developing area of preprocessing analysis, is for researchers, professionals, and graduate students in computer science and optimization. It includes recent advances in upper and lower bounds and meta-theorems, and demonstrates methods through extensive examples using a single data set.
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Kernelization: Theory of Parameterized Preprocessing Hardcover -
by Fedor V. Fomin; Daniel Lokshtanov; Saket Saurabh
Details
- Title Kernelization: Theory of Parameterized Preprocessing
- Author Fedor V. Fomin; Daniel Lokshtanov; Saket Saurabh
- Binding Hardcover
- Pages 528
- Volumes 1
- Language ENG
- Publisher Cambridge University Press
- Features Bibliography, Index
- ISBN 9781107057760 / 1107057760
- Weight 1.9 lbs (0.86 kg)
- Dimensions 9 x 6.1 x 1.4 in (22.86 x 15.49 x 3.56 cm)
- Library of Congress subjects Parameter estimation, Data reduction
- Library of Congress Catalog Number 2018030108
- Dewey Decimal Code 005.72
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Citations
- Choice, 10/01/2019, Page 0
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Kernelization: Theory of Parameterized Preprocessing
by Fedor V. Fomin
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Kernelization: Theory of Parameterized Preprocessing
by Fomin, Fedor V./ Lokshtanov, Daniel/ Saurabh, Saket/ Zehavi, Meirav
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Cambridge Univ Pr, 2019. Hardcover. New. 515 pages. 9.50x6.25x1.25 inches.
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Kernelization: Theory of Parameterized Preprocessing
by Fomin, Fedor V.
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hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Kernelization
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