Ten lectures probabilistic method de spencer (19 resultados)

Paperback. Condición: Very Good. First Edition. First Edition, First Printing. Published by Society for Industrial & Applied Mathematics, 1987. Octavo. Paperback. Book is very good. Previous owner name on flyleaf.

Condición: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

paperback. Condición: As New. Like new. Clean, no marks. Tiny bit of wear on corner of back cover.

Trade Paperback. Condición: Near Fine. Estado de la sobrecubierta: wraps. First. This is a near fine trade paperback copy. CBMS.NSF Regional Conference Series in Applied Mathematics #52.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: New. Second Edition. This update of the 1987 title of the same name is an examination of what is currently known about the probabilistic method, written by one of its principal developers. Based on the notes from Spencer's 1986 series of ten lectures, this new edition contains an additional lecture: The Janson Inequalities. These inequalities allow accurate approximation of extremely small probabilities. A new algorithmic approach to the Lovász Local Lemma, attributed to Jozsef Beck, has been added to Lecture 8, as well.Throughout the monograph, Spencer retains the informal style of his original lecture notes and emphasizes the methodology, shunning the more technical ""best possible"" results in favour of clearer exposition. The book is not encyclopaedic - it contains only those examples that clearly display the methodology.The probabilistic method is a powerful tool in graph theory, combinatorics, and theoretical computer science. It allows one to prove the existence of objects with certain properties (e.g., colourings) by showing that an appropriately defined random object has positive probability of having those properties.Spencer retains the informal style of his original lecture notes and emphasizes the methodology, shunning the more technical ""best possible"" results in favor of clearer exposition. Topics include: A description via examples of the basic Probabilistic Method and its refinements; Random Graphs; The Lovasz Local Lemma and its recent algorithmic implementations; Discrepancy; Derandomization; Large Deviation Estimates; Martingales; and the recent Janson Inequalities.…

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. 1987. 2nd Edition. Paperback. . . . . .

Condición: New.

Softcover. Condición: Gut. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ancien Exemplaire de bibliothèque avec signature et cachet. BON état, quelques traces d'usure. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. 05 SPE 9780898712131 Sprache: Englisch Gewicht in Gramm: 550.…

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Brand New. 2nd edition. 98 pages. 10.00x7.00x0.25 inches. In Stock.

Condición: New. 1987. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.

Condición: New. In English.

Paperback. Condición: New. Second Edition. This update of the 1987 title of the same name is an examination of what is currently known about the probabilistic method, written by one of its principal developers. Based on the notes from Spencer's 1986 series of ten lectures, this new edition contains an additional lecture: The Janson Inequalities. These inequalities allow accurate approximation of extremely small probabilities. A new algorithmic approach to the Lovász Local Lemma, attributed to Jozsef Beck, has been added to Lecture 8, as well.Throughout the monograph, Spencer retains the informal style of his original lecture notes and emphasizes the methodology, shunning the more technical ""best possible"" results in favour of clearer exposition. The book is not encyclopaedic - it contains only those examples that clearly display the methodology.The probabilistic method is a powerful tool in graph theory, combinatorics, and theoretical computer science. It allows one to prove the existence of objects with certain properties (e.g., colourings) by showing that an appropriately defined random object has positive probability of having those properties.Spencer retains the informal style of his original lecture notes and emphasizes the methodology, shunning the more technical ""best possible"" results in favor of clearer exposition. Topics include: A description via examples of the basic Probabilistic Method and its refinements; Random Graphs; The Lovasz Local Lemma and its recent algorithmic implementations; Discrepancy; Derandomization; Large Deviation Estimates; Martingales; and the recent Janson Inequalities.…

Condición: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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