Venkatesan guruswami (4 Ergebnisse)
- Softcover
Anbieter: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Deutschlandbooks4less (Versandantiquariat Petra Gros GmbH & Co. KG)
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Gebraucht - Gut
EUR 19,95
EUR 15,95 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Broschiert. Zustand: Gut. 350 Seiten Das Buch befindet sich in einem gut erhaltenen Zustand. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 570.
- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 61,19
EUR 14,01 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. In.
- Softcover
Anbieter: Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, Vereinigtes KönigreichHay-on-Wye Booksellers
Verkäufer/-in kontaktierenVerkäufer/-in mit 4 SternenZustand: Gebraucht - Gut
EUR 66,26
EUR 29,24 VersandVersand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
Zustand: Very Good. NEW & UNREAD. Light storage wear to the softcover. Tanning to the textblock edge. Content as new.
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 53,49
EUR 62,85 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - How can one exchange information e ectively when the medium of com- nication introduces errors This question has been investigated extensively starting with the seminal works of Shannon (1948) and Hamming (1950), and has led to the rich theory of 'er…ror-correcting codes'. This theory has traditionally gone hand in hand with the algorithmic theory of 'decoding' that tackles the problem of recovering from the errors e ciently. This thesis presents some spectacular new results in the area of decoding algorithms for error-correctingcodes. Speci cally,itshowshowthenotionof'list-decoding' can be applied to recover from far more errors, for a wide variety of err- correcting codes, than achievable before. A brief bit of background: error-correcting codes are combinatorial str- tures that show how to represent (or 'encode') information so that it is - silient to a moderate number of errors. Speci cally, an error-correcting code takes a short binary string, called the message, and shows how to transform it into a longer binary string, called the codeword, so that if a small number of bits of the codewordare ipped, the resulting string does not look like any other codeword. The maximum number of errorsthat the code is guaranteed to detect, denoted d, is a central parameter in its design. A basic property of such a code is that if the number of errors that occur is known to be smaller than d/2, the message is determined uniquely. This poses a computational problem,calledthedecodingproblem:computethemessagefromacorrupted codeword, when the number of errors is less than d/2.; This monograph is a thoroughly revised and extended version of the author's PhD thesis, which was selected as the winning thesis of the 2002 ACM Doctoral Dissertation Competition. Venkatesan Guruswami did his PhD work at the MIT with Madhu Sudan as thesis adviser.Starting with the seminal work of Shannon and Hamming, coding theory has generated a rich theory of error-correcting codes. This theory has traditionally gone hand in hand with the algorithmic theory of decoding that tackles the problem of recovering from the transmission errors efficiently. This book presents some spectacular new results in the area of decoding algorithms for error-correcting codes. Specificially, it shows how the notion of list-decoding can be applied to recover from far more errors, for a wide variety of error-correcting codes, than achievable before.The style of the exposition is crisp and the enormous amount of information on combinatorial results, polynomial time list decoding algorithms, and applications is presented in well structured form.
