Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Juni 2013
Genre:	EDV / Informatik
	Algorithm Analysis and Problem Complexity / Algorithms / Algorithms & data structures / Automated Pattern Recognition / bioinformatics / C / Computational and Systems Biology / Computational Biology/Bioinformatics / computer science / Computer science—Mathematics / Data Science / Data Structures / Data structures (Computer science) / Discrete Mathematics / Discrete Mathematics in Computer Science / Information technology# general issues / Life sciences# general issues / Mathematical theory of computation / Maths for computer scientists / Numeric Computing / Numerical analysis / pattern recognition mehr...
ISBN:	9783642389047
EAN-Code:	9783642389047
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#7922 - Lecture Notes in Computer Science Theoretical Computer Science and General Issues
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	421 gr
Seiten:	259
Illustration:	X, 259 p. 58 illus., schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book constitutes the refereed proceedings of the 24th Annual Symposium on Combinatorial Pattern Matching, CPM 2013, held in Bad Herrenalb (near Karlsruhe), Germany, in June 2013. The 21 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 51 submissions. The papers address issues of searching and matching strings and more complicated patterns such as trees, regular expressions, graphs, point sets, and arrays. The goal is to derive non-trivial combinatorial properties of such structures and to exploit these properties in order to either achieve superior performance for the corresponding computational problem or pinpoint conditions under which searches cannot be performed efficiently. The meeting also deals with problems in computational biology, data compression and data mining, coding, information retrieval, natural language processing, and pattern recognition.