Fedor V. Fomin, University of Bergen ; Daniel Lokshtanov, University of Bergen and University California Santa Barbara ; Saket Saurabh, Institute of Mathematical Sciences and University of Bergen ; Meirav Zehavi, Ben-Gurion University.
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references and indexes.
یادداشتهای مربوط به مندرجات
متن يادداشت
What is a kernel? -- Warm up -- Inductive priorities -- Crown decomposition -- Expansion lemma -- Linear programming -- Hypertrees -- Sunflower lemma -- Modules -- Matroids -- Representative families -- Greedy packing -- Euler's formula -- Introduction to treewidth -- Bidimensionality and protrusions -- Surgery on graphs -- Framework -- Instance selectors -- Polynomial parameter transformation -- Polynomial lower bounds -- Extending distillation -- Turing kernelization -- Lossy kernelization.
بدون عنوان
0
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
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.
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
KERNELIZATION.
شماره استاندارد بين المللي کتاب و موسيقي
1107057760
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Data reduction.
موضوع مستند نشده
Electronic data processing-- Data preparation.
موضوع مستند نشده
Kernel functions.
موضوع مستند نشده
Parameter estimation.
موضوع مستند نشده
Data reduction.
موضوع مستند نشده
Electronic data processing-- Data preparation.
موضوع مستند نشده
Kernel functions.
موضوع مستند نشده
Parameter estimation.
رده بندی ديویی
شماره
005
.
7/2
ويراست
23
رده بندی کنگره
شماره رده
QA76
.
9
.
D345
نشانه اثر
F66
2019
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )