gentle james (63 Ergebnisse)

Zustand: 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.

Zustand: Very Good. 1st. ed. 2002. Corr. 2nd printing. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Zustand: Good. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Hardcover. Zustand: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.

Zustand: Good. 1st Edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

hardcover. Zustand: As New. Unmarked hardcover.

Hardcover. Zustand: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Couverture légèrement déchirée. Edition 1980. Tome 33. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Slightly torn cover. Edition 1980. Volume 33. Ammareal gives back up to 15% of this item's net price to charity organizations.

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

Zustand: New. pp. 404 Illus.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Softcover. Zustand: Very Good. First edition, first printing. 8vo (9"x6"). 373pp. Illustrated paper covers. Very light shelfwear. Very light tone to pages. Small stain to last 10 pages and interior of lower cover. Association copy of Alan Gratz, the YA author. Signed by Jeff VanderMeer to title with page-sized illustration to half title. Inscribed, "For Alan -- Yes, airships! Clockwork stuff! Your friend --".

Soft cover. Zustand: Very Good. No Jacket. 1st Edition. [1st edition], 1st printing ; 216 p. : ill. ; 31 cm. ; ISBN: 0918804183 (pbk.); 9780918804181 (pbk.) LCCN: 83-228212 ; 77-79327 ; LC: NK9612; Dewey: 674/.8 ; OCLC: 10458782 ; "A fine woodworking book" ; "selected by the editors of Fine woodworking magazine." ; photographic stiff paper wrappers ; "Fine Woodworking was launched in 1975 in response to the lack of quality information on the craft. With a circulation of 287,000, it is now the premiere source of how-to information for woodworkers of all skill levels that are seriously interested in woodworking techniques, tools, projects, finishing and design inspiration" ; Contents : Bowls -- Cabinets -- Desks -- Tables -- Beds -- Tools and toys -- Musical instruments -- Furnishings -- Boxes -- Sculpture and carving -- Index -- Directory of woodworkers ; Woodwork artists include Lottie Kwai Lin Wolff, Karlin Wong, Dennis Vidmar, Kenneth Cliet, Alois Von Matt, Steve Voorheis, Jack Voss, David Trapp, Craig Tinker, John Tierney, Howard Werner, Ken Walker, Bradford Walters, Gerald Otis, Takeo Omuro, Will Neptune, Frank Nadell, John Nelson, Joe Nevius, Mike Norby, Kathleen Maiwald, James McEver, Fred MAter, John Marcoux, Alan Marks, Warren May, Michael Kranz, Gordon Kyle -- Bruce Joseph Kunkle, Clement Konzem, Michael Hosaluk, David Holzapfel, Howard Hastings, Greg Harkins, William Hammersley, Joe Hogan, Aleida Iijzerman, Andy Inganni, Bill Irwin, Sata Jaffe, Normand Jussaume, Jon Jennett, Frank Grusauskas, gregory Guenther, Erik Gronberg, David Groth, Louis Gnida, Tom Gannon, Rick Gentle, Grover Floyd, Jack Fenwick, Randall K Fields, Warren Fenzi, David Paul Eck, John Economaki, Bix duPont, John Dunnigan, Rion Dudley, Jeffrey Dale, Ed Dadey, Ron Curtis, Doug Courtney, Clead Christiansen, Jerry Caplan, Christian Brisepierre, Chuck Engberg, Charles Shedden, Edwin Fulwider etc ; ownership stamp ; cover a little dusty, else VG. Book.

Zustand: Sehr gut. 261 p. In very good condition. ISBN: 9780387985220 Sprache: Englisch Gewicht in Gramm: 472 1,9 x 16,5 x 24,8 cm, hardcover.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Hardcover. 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. 62 GEN 9780387985220 Sprache: Englisch Gewicht in Gramm: 550.

Zustand: New.

Zustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Hardcover. Zustand: Very Good. 2009. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: New.

hardcover. Zustand: Fine.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Buch. Zustand: Neu. Neuware -Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices. This book describes accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. An understanding of numerical linear algebra requires basic knowledge both of linear algebra and of how numerical data are stored and manipulated in the computer. The book begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, matrix factorizations, matrix and vector norms, and other topics in linear algebra; hence, the book is essentially self- contained. The topics addressed in this bookconstitute the most important material for an introductory course in statistical computing, and should be covered in every such course. The book includes exercises and can be used as a text for a first course in statistical computing or as supplementary text for various courses that emphasize computations. James Gentle is University Professor of Computational Statistics at George Mason University. During a thirteen-year hiatus from academic work before joining George Mason, he was director of research and design at the world's largest independent producer of Fortran and C general-purpose scientific software libraries. These libraries implement many algorithms for numerical linear algebra. He is a Fellow of the American Statistical Association and member of the International Statistical Institute. He has held several nationalSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.

Paperback. Zustand: Brand New. 646 pages. 9.00x6.25x1.25 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices. This book describes accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. An understanding of numerical linear algebra requires basic knowledge both of linear algebra and of how numerical data are stored and manipulated in the computer. The book begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, matrix factorizations, matrix and vector norms, and other topics in linear algebra; hence, the book is essentially self- contained. The topics addressed in this bookconstitute the most important material for an introductory course in statistical computing, and should be covered in every such course. The book includes exercises and can be used as a text for a first course in statistical computing or as supplementary text for various courses that emphasize computations. James Gentle is University Professor of Computational Statistics at George Mason University. During a thirteen-year hiatus from academic work before joining George Mason, he was director of research and design at the world's largest independent producer of Fortran and C general-purpose scientific software libraries. These libraries implement many algorithms for numerical linear algebra. He is a Fellow of the American Statistical Association and member of the International Statistical Institute. He has held several national.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices. This book describes accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. An understanding of numerical linear algebra requires basic knowledge both of linear algebra and of how numerical data are stored and manipulated in the computer. The book begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, matrix factorizations, matrix and vector norms, and other topics in linear algebra; hence, the book is essentially self- contained. The topics addressed in this bookconstitute the most important material for an introductory course in statistical computing, and should be covered in every such course. The book includes exercises and can be used as a text for a first course in statistical computing or as supplementary text for various courses that emphasize computations. James Gentle is University Professor of Computational Statistics at George Mason University. During a thirteen-year hiatus from academic work before joining George Mason, he was director of research and design at the world's largest independent producer of Fortran and C general-purpose scientific software libraries. These libraries implement many algorithms for numerical linear algebra. He is a Fellow of the American Statistical Association and member of the International Statistical Institute. He has held several national.

Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Numerical linear algebra is one of the most important subjects in the field of statistical computing. Statistical methods in many areas of application require computations with vectors and matrices. This book describes accurate and efficient computer algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors. Although the book is not tied to any particular software system, it describes and gives examples of the use of modern computer software for numerical linear algebra. An understanding of numerical linear algebra requires basic knowledge both of linear algebra and of how numerical data are stored and manipulated in the computer. The book begins with a discussion of the basics of numerical computations, and then describes the relevant properties of matrix inverses, matrix factorizations, matrix and vector norms, and other topics in linear algebra; hence, the book is essentially self- contained. The topics addressed in this bookconstitute the most important material for an introductory course in statistical computing, and should be covered in every such course. The book includes exercises and can be used as a text for a first course in statistical computing or as supplementary text for various courses that emphasize computations. James Gentle is University Professor of Computational Statistics at George Mason University. During a thirteen-year hiatus from academic work before joining George Mason, he was director of research and design at the world's largest independent producer of Fortran and C general-purpose scientific software libraries. These libraries implement many algorithms for numerical linear algebra. He is a Fellow of the American Statistical Association and member of the International Statistical Institute. He has held several national.

XXII / 528 pp. Sprache: Englisch Gewicht in Gramm: 900 Large 8vo. Original Hardcover, slightly rubbed and bumped, first leafs a little bit compressed on corners, otherwise fine, text in English.

Zustand: New. pp. 400 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Hardcover. 1070 S. Ehem. Bibliotheksexemplar mit Bib.-Signatur und Stempel. Guter Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. Good condition, some traces of use. 9783540404644 Sprache: Englisch Gewicht in Gramm: 1600.