Householder alston (158 risultati)

paperback. Condizione: Fair.

paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

paperback. Condizione: Good. New Ed. Corners are slightly bent. Used - Good.

Condizione: Good. Repirnt. 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.…

Paperback. Condizione: Very Good Plus. 257 pp. Tightly bound. Spine not compromised. Text is free of markings.

Paperback. Condizione: Good. 257 pp. Tightly bound. Spine not compromised Text is free of markings. No ownership markings.

Paperback. Condizione: Near Fine. 257 pp. Tightly bound. Spine not compromised Text is free of markings. No ownership markings.

Paperback. Condizione: Very Good. This text explores aspects of matrix theory that are most useful in developing and appraising computational methods for solving systems of linear equations and for finding characteristic roots. Suitable for advanced undergraduates and graduate students, it assumes an understanding of the general principles of matrix algebra, including the Cayley-Hamilton theorem, characteristic roots and vectors, and linear dependence.An introductory chapter covers the Lanczos algorithm, orthogonal polynomials, and determinantal identities. Succeeding chapters examine norms, bounds, and convergence; localization theorems and other inequalities; and methods of solving systems of linear equations. The final chapters illustrate the mathematical principles underlying linear equations and their interrelationships. Topics include methods of successive approximation, direct methods of inversion, normalization and reduction of the matrix, and proper values and vectors. Each chapter concludes with a helpful set of references and problems.…

Hardcover. Condizione: Good. No Jacket. First Edition. 1953 hardcover edition published by McGraw-Hill. The covers look great with only lightly rubbed corners. The binding is tight. The interior pages are clean and unmarked. A dust jacket is not included. Electronic delivery tracking will be issued free of charge.…

Soft cover. Condizione: Near Fine. Softcover 1975 edition. Text and covers in near fine condition. Binding firm. Text free from markings. {257 pages}.

paperback. Condizione: New. New copy.

paperback. Condizione: Used-Very Good. Some shelf-wear. Signed.

Condizione: New.

Condizione: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

Paperback. Condizione: Very Good. 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.

Paperback. Condizione: Very Good. This text explores aspects of matrix theory that are most useful in developing and appraising computational methods for solving systems of linear equations and for finding characteristic roots. Suitable for advanced undergraduates and graduate students, it assumes an understanding of the general principles of matrix algebra, including the Cayley-Hamilton theorem, characteristic roots and vectors, and linear dependence.An introductory chapter covers the Lanczos algorithm, orthogonal polynomials, and determinantal identities. Succeeding chapters examine norms, bounds, and convergence; localization theorems and other inequalities; and methods of solving systems of linear equations. The final chapters illustrate the mathematical principles underlying linear equations and their interrelationships. Topics include methods of successive approximation, direct methods of inversion, normalization and reduction of the matrix, and proper values and vectors. Each chapter concludes with a helpful set of references and problems.…

Paperback or Softback. Condizione: New. The Theory of Matrices in Numerical Analysis. Book.

Paperback. Condizione: Very Good. FIRST THUS. First Edition Thus. Published by Dover Pubns, 1986. Octavo. Paperback. Book is very good. Covers have shelf wear.

Condizione: As New. Unread book in perfect condition.

paperback. Condizione: Used-Very Good. New Ed. Some shelf-wear. Signed.

paperback. Condizione: Used-Very Good. Some shelf-wear. Signed.

Paperback. Condizione: As New. Reprint. unabridged republication of the Blaisdell Publishing Company 1964 edition. 272 pages. "This text explores aspects of matrix theory that are most useful in developing and appraising computational methods for solving systems of linear equations and for finding characteristic roots." ; 5 3/8 x 8 1/2 ".…

Softcover. Condizione: Near Fine. Small 8vo 7½" - 8"; 274 pages.

PAPERBACK. Condizione: New. 0486449726 New. Retail 14.95.

Hardcover. Condizione: Good. Condizione sovraccoperta: Good. 1st Edition. 257 pp. with Index and Bibliography. Dark blue cloth. Ex-Library copy with the call number on front cover, library stamps and stickers. Binding tight, text clean. The jacket is worn at the corners and spine ends, lightly rubbed and soiled.…

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

Paperback. Condizione: Near Fine. 257 clean, unmarked pages. Formulae, Diagrams (illustratore).

Soft cover. Condizione: Very Good. 257 clean, unmarked pages. Formulae, Diagrams (illustratore).

paperback. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condizione: Very Good. Condizione sovraccoperta: 46724666. 1791465212. 10/8/2026 1:13:32 PM.