Cover of Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh, Meirav Zehavi: Kernelization

Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh, Meirav Zehavi Kernelization

Theory of Parameterized Preprocessing

Price for Eshop: 1661 Kč (€ 66.4)

VAT 0% included

New

E-book delivered electronically online

E-Book information

Cambridge University Press

2019

EPub
How do I buy e-book?

978-1-108-57733-5

1-108-57733-4

Annotation

Preprocessing, or data reduction, is a standard technique for simplifying and speeding up computation. Written by a team of experts in the field, this book introduces a rapidly developing area of preprocessing analysis known as kernelization. The authors provide an overview of basic methods and important results, with accessible explanations of the most recent advances in the area, such as meta-kernelization, representative sets, polynomial lower bounds, and lossy kernelization. The text is divided into four parts, which cover the different theoretical aspects of the area: upper bounds, meta-theorems, lower bounds, and beyond kernelization. The methods are demonstrated through extensive examples using a single data set. Written to be self-contained, the book only requires a basic background in algorithmics and will be of use to professionals, researchers and graduate students in theoretical computer science, optimization, combinatorics, and related fields.

Ask question

You can ask us about this book and we'll send an answer to your e-mail.