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Kernelization 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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作者

Cambridge University Press

译者

2019-1 出版日期

0 页数

0 价格

丛书系列

9781107415157 图书编码

Kernelization 在线电子书图书标签: 计算机计算几何 Optimization

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发表于2024-11-28

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Kernelization 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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Kernelization 在线电子书图书描述

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.

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