Percy deift (118 résultats)

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

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

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : new.

Etat : New.

Paperback. Etat : New. This book features a unified derivation of the mathematical theory of the three classical types of invariant random matrix ensembles - orthogonal, unitary, and symplectic. The authors follow the approach of Tracy and Widom, but the exposition here contains a substantial amount of additional material, in particular, facts from functional analysis and the theory of Pfaffians. The main result in the book is a proof of universality for orthogonal and symplectic ensembles corresponding to generalized Gaussian type weights following the authors' prior work. New, quantitative error estimates are derived. The book is based in part on a graduate course given by the first author at the Courant Institute in fall 2005. Subsequently, the second author gave a modified version of this course at the University of Rochester in spring 2007. Anyone with some background in complex analysis, probability theory, and linear algebra and an interest in the mathematical foundations of random matrix theory will benefit from studying this valuable reference.…

Etat : new.

Etat : New.

Paperback. Etat : New. This volume expands on a set of lectures held at the Courant Institute on Riemann-Hilbert problems, orthogonal polynomials, and random matrix theory. The goal of the course was to prove universality for a variety of statistical quantities arising in the theory of random matrix models. The central question was the following: Why do very general ensembles of random $n {\times} n$ matrices exhibit universal behavior as $n {\rightarrow} {\infty}$? The main ingredient in the proof is the steepest descent method for oscillatory Riemann-Hilbert problems.…

Etat : New. Features a unified derivation of the mathematical theory of the three classical types of invariant random matrix ensembles - orthogonal, unitary, and symplectic. This book presents a proof of universality for orthogonal and symplectic ensembles corresponding to generalized Gaussian type weights. Series: Courant Lecture Notes. Num Pages: 217 pages, illustrations. BIC Classification: PBF; PBMW; PBT; PBV. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 262 x 183 x 18. Weight in Grams: 428. . 2009. Paperback. . . . .…

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

Soft Cover. Etat : Very Good. No Jacket. First Edition. Clean bright tight copy that appears unread. 327564.

Etat : New. Expands on a set of lectures held at the Courant Institute on Riemann-Hilbert problems, orthogonal polynomials, and random matrix theory. The goal of the course was to prove universality for a variety of statistical quantities arising in the theory of random matrix models. Series: Courant Lecture Notes. Num Pages: 261 pages, Illustrations. BIC Classification: PBKD; PBKF. Category: (P) Professional & Vocational. Dimension: 253 x 178 x 15. Weight in Grams: 494. . 2000. Paperback. . . . . …

Softcover. Etat : Gut. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-00848 9780821825402 Sprache: Englisch Gewicht in Gramm: 150.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Paperback. Etat : Brand New. 268 pages. 10.25x7.25x0.75 inches. In Stock.

Paperback. Etat : Brand New. 217 pages. 9.90x6.90x0.50 inches. In Stock.

Paperback. Etat : Brand New. illustrated edition. 261 pages. 10.00x7.00x0.75 inches. In Stock.

Etat : New. Features a unified derivation of the mathematical theory of the three classical types of invariant random matrix ensembles - orthogonal, unitary, and symplectic. This book presents a proof of universality for orthogonal and symplectic ensembles corresponding to generalized Gaussian type weights. Series: Courant Lecture Notes. Num Pages: 217 pages, illustrations. BIC Classification: PBF; PBMW; PBT; PBV. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 262 x 183 x 18. Weight in Grams: 428. . 2009. Paperback. . . . . Books ship from the US and Ireland.…

Etat : New. pp. ix + 217 Illus.

Etat : New. Expands on a set of lectures held at the Courant Institute on Riemann-Hilbert problems, orthogonal polynomials, and random matrix theory. The goal of the course was to prove universality for a variety of statistical quantities arising in the theory of random matrix models. Series: Courant Lecture Notes. Num Pages: 261 pages, Illustrations. BIC Classification: PBKD; PBKF. Category: (P) Professional & Vocational. Dimension: 253 x 178 x 15. Weight in Grams: 494. . 2000. Paperback. . . . . Books ship from the US and Ireland. …

Etat : New. pp. ix + 261 Illus.

Softcover. Etat : Gut. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-00921 9780821806913 Sprache: Englisch Gewicht in Gramm: 550.

Etat : New.

Etat : New.

paperback. Etat : Fine. Clean Copy We've been in business for over 25 years serving thousands of customers worldwide. Your satisfaction is extremely important to us.Established Seller, We Ship Daily! We pack your order with care so that it arrives in great condition.

paperback. Etat : Very Good.

Paperback. Etat : New. Print on Demand. This book delves into the complex world of singular value decomposition (SVD), a fundamental mathematical operation used to analyze matrices. It examines the process of computing the SVD of a bidiagonal matrix, a specific type of matrix that arises in various applications, including the SVD of general matrices and the eigenproblem of symmetric tridiagonal matrices. The author's exploration of this topic builds upon existing research in the field, particularly the work of Demmel and Kahan, and presents new insights regarding the accuracy of SVD computations. The book's core theme revolves around demonstrating that SVD calculations on bidiagonal matrices can achieve significantly higher accuracy than those performed on general matrices. This unexpected result stems from the nature of bidiagonal matrices, where relative errors in the entries lead to relative errors in the singular values, unlike in general matrices where absolute errors are dominant. Furthermore, the book introduces a novel Hamiltonian approach to analyze the algorithm used for SVD calculations. This approach, drawing upon the concepts of Hamiltonian mechanics, reveals a deeper understanding of how errors propagate during the computation process. The book's exploration of Hamiltonian mechanics and its application to the SVD algorithm offers a new paradigm for developing high-accuracy algorithms for solving other eigenvalue problems. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.…