Introduction Random Matrices by Anderson (18 results)

Condition: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Hardcover. Condition: New. ISBN:9780521168861,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

Paperback. Condition: Very Good. Digitally reprinted ICM Edition. Covers and edges show some rubbing, scuffing, denting and shelf wear. Top inside corner of front cover and spine show some additional scuffing/surface tearing.

Hardback. Condition: Fine.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New. A rigorous introduction to the basic theory of random matrices designed for graduate students with a background in probability theory. Series: Cambridge Studies in Advanced Mathematics. Num Pages: 508 pages, 7 b/w illus. 75 exercises. BIC Classification: PBF; PBK. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 233 x 161 x 30. Weight in Grams: 830. . 2009. Illustrated. hardcover. . . . . …

Condition: New. In English.

Condition: New.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. The theory of random matrices plays an important role in many areas of pure mathematics and employs a variety of sophisticated mathematical tools (analytical, probabilistic and combinatorial). This diverse array of tools, while attesting to the vitality of the field, presents several formidable obstacles to the newcomer, and even the expert probabilist. This rigorous introduction to the basic theory is sufficiently self-contained to be accessible to graduate students in mathematics or related sciences, who have mastered probability theory at the graduate level, but have not necessarily been exposed to advanced notions of functional analysis, algebra or geometry. Useful background material is collected in the appendices and exercises are also included throughout to test the reader's understanding. Enumerative techniques, stochastic analysis, large deviations, concentration inequalities, disintegration and Lie algebras all are introduced in the text, which will enable readers to approach the research literature with confidence. …

Condition: New. A rigorous introduction to the basic theory of random matrices designed for graduate students with a background in probability theory. Series: Cambridge Studies in Advanced Mathematics. Num Pages: 508 pages, 7 b/w illus. 75 exercises. BIC Classification: PBF; PBK. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 233 x 161 x 30. Weight in Grams: 830. . 2009. Illustrated. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Condition: Brand New. 1st edition. 536 pages. 9.25x6.25x1.25 inches. In Stock.

Hardback. Condition: New. The theory of random matrices plays an important role in many areas of pure mathematics and employs a variety of sophisticated mathematical tools (analytical, probabilistic and combinatorial). This diverse array of tools, while attesting to the vitality of the field, presents several formidable obstacles to the newcomer, and even the expert probabilist. This rigorous introduction to the basic theory is sufficiently self-contained to be accessible to graduate students in mathematics or related sciences, who have mastered probability theory at the graduate level, but have not necessarily been exposed to advanced notions of functional analysis, algebra or geometry. Useful background material is collected in the appendices and exercises are also included throughout to test the reader's understanding. Enumerative techniques, stochastic analysis, large deviations, concentration inequalities, disintegration and Lie algebras all are introduced in the text, which will enable readers to approach the research literature with confidence. …

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condition: new. Hardcover. The theory of random matrices plays an important role in many areas of pure mathematics and employs a variety of sophisticated mathematical tools (analytical, probabilistic and combinatorial). This diverse array of tools, while attesting to the vitality of the field, presents several formidable obstacles to the newcomer, and even the expert probabilist. This rigorous introduction to the basic theory is sufficiently self-contained to be accessible to graduate students in mathematics or related sciences, who have mastered probability theory at the graduate level, but have not necessarily been exposed to advanced notions of functional analysis, algebra or geometry. Useful background material is collected in the appendices and exercises are also included throughout to test the reader's understanding. Enumerative techniques, stochastic analysis, large deviations, concentration inequalities, disintegration and Lie algebras all are introduced in the text, which will enable readers to approach the research literature with confidence. The theory of random matrices plays an important role in many areas of pure mathematics. This rigorous introduction is specifically designed for graduate students in mathematics or related sciences, who have a background in probability theory but have not been exposed to advanced notions of functional analysis, algebra or geometry. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The theory of random matrices plays an important role in many areas of pure mathematics. This rigorous introduction is specifically designed for graduate students in mathematics or related sciences, who have a background in probability theory but have not b.…