graduate introduction numerical methods von fillion nicolas (11 Ergebnisse)

Zustand: New. In.

gebundene Ausgabe. Zustand: Sehr gut. Zust: Gutes Exemplar. XXXIX, 869 S., Englisch 1820g.

Zustand: New. In English.

Zustand: New. This book gathers important material from floating-point arithmetic, polynomials, series, interpolation, the discrete Fourier transform, numerical differentiation and integration, numerical solutions of ODEs, BVPs, DDEs, and PDEs, and optimization. Num Pages: 869 pages, 184 black & white illustrations, 10 colour illustrations, 7 black & white tables, biograp. BIC Classification: PBKS; PDE. Category: (P) Professional & Vocational. Dimension: 254 x 178. Weight in Grams: 1701. . 2016. Softcover reprint of the original 1st ed. 2014. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware -This book provides an extensive introduction to numerical computing from the viewpoint of backward error analysis. The intended audience includes students and researchers in science, engineering and mathematics. The approach taken is somewhat informal owing to the wide variety of backgrounds of the readers, but the central ideas of backward error and sensitivity (conditioning) are systematically emphasized. The book is divided into four parts: Part I provides the background preliminaries including floating-point arithmetic, polynomials and computer evaluation of functions; Part II covers numerical linear algebra; Part III covers interpolation, the FFT and quadrature; and Part IV covers numerical solutions of differential equations including initial-value problems, boundary-value problems, delay differential equations and a brief chapter on partial differential equations.The book contains detailed illustrations, chapter summaries and a variety of exercises as well some Matlab codes provided online as supplementary material.¿I really like the focus on backward error analysis and condition. This is novel in a textbook and a practical approach that will bring welcome attention.' Lawrence F. ShampineA Graduate Introduction to Numerical Methods and Backward Error Analysis¿ has been selected by Computing Reviews as a notable book in computing in 2013. Computing Reviews Best of 2013 list consists of book and article nominations from reviewers, CR category editors, the editors-in-chief of journals, and others in the computing community.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 912 pp. Englisch.

Paperback. Zustand: Brand New. 869 pages. 9.75x7.00x1.75 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an extensive introduction to numerical computing from the viewpoint of backward error analysis. The intended audience includes students and researchers in science, engineering and mathematics. The approach taken is somewhat informal owing to the wide variety of backgrounds of the readers, but the central ideas of backward error and sensitivity (conditioning) are systematically emphasized. The book is divided into four parts: Part I provides the background preliminaries including floating-point arithmetic, polynomials and computer evaluation of functions; Part II covers numerical linear algebra; Part III covers interpolation, the FFT and quadrature; and Part IV covers numerical solutions of differential equations including initial-value problems, boundary-value problems, delay differential equations and a brief chapter on partial differential equations.The book contains detailed illustrations, chapter summaries and a variety of exercises as well some Matlab codes provided online as supplementary material.'I really like the focus on backward error analysis and condition. This is novel in a textbook and a practical approach that will bring welcome attention.' Lawrence F. ShampineA Graduate Introduction to Numerical Methods and Backward Error Analysis' has been selected by Computing Reviews as a notable book in computing in 2013. Computing Reviews Best of 2013 list consists of book and article nominations from reviewers, CR category editors, the editors-in-chief of journals, and others in the computing community.

Buch. Zustand: Neu. Neuware -This book provides an extensive introduction to numerical computing from the viewpoint of backward error analysis. The intended audience includes students and researchers in science, engineering and mathematics. The approach taken is somewhat informal owing to the wide variety of backgrounds of the readers, but the central ideas of backward error and sensitivity (conditioning) are systematically emphasized. The book is divided into four parts: Part I provides the background preliminaries including floating-point arithmetic, polynomials and computer evaluation of functions; Part II covers numerical linear algebra; Part III covers interpolation, the FFT and quadrature; and Part IV covers numerical solutions of differential equations including initial-value problems, boundary-value problems, delay differential equations and a brief chapter on partial differential equations.The book contains detailed illustrations, chapter summaries and a variety of exercises as well some Matlab codes provided online as supplementary material.¿I really like the focus on backward error analysis and condition. This is novel in a textbook and a practical approach that will bring welcome attention.' Lawrence F. ShampineA Graduate Introduction to Numerical Methods and Backward Error Analysis¿ has been selected by Computing Reviews as a notable book in computing in 2013. Computing Reviews Best of 2013 list consists of book and article nominations from reviewers, CR category editors, the editors-in-chief of journals, and others in the computing community.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 912 pp. Englisch.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an extensive introduction to numerical computing from the viewpoint of backward error analysis. The intended audience includes students and researchers in science, engineering and mathematics. The approach taken is somewhat informal owing to the wide variety of backgrounds of the readers, but the central ideas of backward error and sensitivity (conditioning) are systematically emphasized. The book is divided into four parts: Part I provides the background preliminaries including floating-point arithmetic, polynomials and computer evaluation of functions; Part II covers numerical linear algebra; Part III covers interpolation, the FFT and quadrature; and Part IV covers numerical solutions of differential equations including initial-value problems, boundary-value problems, delay differential equations and a brief chapter on partial differential equations.The book contains detailed illustrations, chapter summaries and a variety of exercises as well some Matlab codes provided online as supplementary material.'I really like the focus on backward error analysis and condition. This is novel in a textbook and a practical approach that will bring welcome attention.' Lawrence F. ShampineA Graduate Introduction to Numerical Methods and Backward Error Analysis' has been selected by Computing Reviews as a notable book in computing in 2013. Computing Reviews Best of 2013 list consists of book and article nominations from reviewers, CR category editors, the editors-in-chief of journals, and others in the computing community.

Hardcover. Zustand: Brand New. 896 pages. 10.25x7.25x2.00 inches. In Stock.

Zustand: New. A Graduate Introduction to Numerical Methods Num Pages: 869 pages, 184 black & white illustrations, 10 colour illustrations, 7 black & white tables, biograp. BIC Classification: PBKS; PDE. Category: (P) Professional & Vocational. Dimension: 260 x 189 x 62. Weight in Grams: 1836. . 2013. 2014th Edition. Hardcover. . . . . Books ship from the US and Ireland.