Bjoerck ake (63 résultats)

Etat : good. Paperback Book.

Etat : acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Etat : New.

gebundene Ausgabe. Etat : Gut. 374 S. Das hier angebotene Buch stammt aus einer teilaufgelösten wissenschaftlichen Bibliothek und trägt die entsprechenden Kennzeichnungen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Leichte altersbedingte Anbräunung des Papiers. DAs Buch ist in eine Plastikfolie eingeklebt. Sprache: Deutsch Gewicht in Gramm: 705.…

Taschenbuch. Etat : Neu. Neuware - Practical text strikes balance between students' requirements for theoretical treatment and the needs of practitioners, with best methods for both large- and small-scale computing. Many worked examples and problems. 1974 edition.

Etat : New. InhaltsverzeichnisrnrnPreface. Conventions.n1. Some General Principles of Numerical Calculation.n2. How to Obtain and Estimate Accuracy in Numerical Calculations.n3. Numerical Uses of Series.n4. Approximation of Functions.n5. Numerical Linear Al.

Etat : New.

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Etat : As New. Unread book in perfect condition.

paperback. Etat : New. In shrink wrap. Looks like an interesting title.

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Hardcover. Etat : Very Good. hardback book in very good condition.

Etat : As New. Unread book in perfect condition.

Etat : As New. Unread book in perfect condition.

Etat : New. In English.

Etat : New. 2024. 2nd Edition. paperback. . . . . .

Paperback. Etat : Brand New. 255 pages. 10.00x7.00x1.50 inches. In Stock.

Studentlitteratur, Lund 2009. 110 sidor, häftad. Bra skick.

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Paperback. Etat : New. Second Edition. The method of least squares, discovered by Gauss in 1795, is a principal tool for reducing the influence of errors when fitting a mathematical model to given observations. Applications arise in a great number of areas in sciences and engineering. The increased use of automatic data capturing frequently leads to large-scale least squares problems. Such problems can be solved by using recent developments in preconditioned iterative methods and in sparse QR factorization. The first edition of Numerical Methods for Least Squares Problem was the leading reference on least squares problems for many years. The updated second edition stands out compared to other books on the topic because:it provides an in-depth and up to date treatment of direct and iterative methods for solving different types of least squares problems and for computing the singular value decomposition;covers generalized, constrained, and nonlinear least squares problems as well as partial least squares and regularization methods for discrete ill-posed problems; andcontains a bibliography with more than 1100 historical and recent references, providing a unique survey of past and present research in the field.…

Etat : As New. Unread book in perfect condition.

Paperback. Etat : new. Paperback. The method of least squares, discovered by Gauss in 1795, is a principal tool for reducing the influence of errors when fitting a mathematical model to given observations. Applications arise in a great number of areas in sciences and engineering. The increased use of automatic data capturing frequently leads to large-scale least squares problems. Such problems can be solved by using recent developments in preconditioned iterative methods and in sparse QR factorization. The first edition of Numerical Methods for Least Squares Problem was the leading reference on least squares problems for many years. The updated second edition stands out compared to other books on the topic because:it provides an in-depth and up to date treatment of direct and iterative methods for solving different types of least squares problems and for computing the singular value decomposition;covers generalized, constrained, and nonlinear least squares problems as well as partial least squares and regularization methods for discrete ill-posed problems; andcontains a bibliography with more than 1100 historical and recent references, providing a unique survey of past and present research in the field. The method of least squares, discovered by Gauss in 1795, is a principal tool for reducing the influence of errors when fitting a mathematical model to given observations. Applications arise in a great number of areas in sciences and engineering. The increased use of automatic data capturing frequently leads to large-scale least squares problems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : New. The method of least squares was discovered by Gauss in 1795. It has since become the principal tool for reducing the influence of errors when fitting models to given observations. Today, applications of least squares arise in a great number of scientific areas, such as statistics, geodetics, signal processing, and control.In the last 20 years there has been a great increase in the capacity for automatic data capturing and computing. Least squares problems of large size are now routinely solved. Tremendous progress has been made in numerical methods for least squares problems, in particular for generalized and modified least squares problems and direct and iterative methods for sparse problems. Until now there has not been a monograph that covers the full spectrum of relevant problems and methods in least squares.This volume gives an in-depth treatment of topics such as methods for sparse least squares problems, iterative methods, modified least squares, weighted problems, and constrained and regularized problems. The more than 800 references provide a comprehensive survey of the available literature on the subject.Special Features:Discusses recent methods, many of which are still described only in the research literature. Provides a comprehensive up-to-date survey of problems and numerical methods in least squares computation and their numerical properties.Collects recent research results and covers methods for treating very large and sparse problems with both direct and iterative methods.Covers updating of solutions and factorizations as well as methods for generalized and constrained least squares problems.A solid understanding of numerical linear algebra is needed for the more advanced sections. However, many of the chapters are more elementary and because basic facts and theorems are given in an introductory chapter, the book is partly self-contained.…

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Etat : New. 2024. 2nd Edition. paperback. . . . . . Books ship from the US and Ireland.

Etat : New. pp. 816 Softcover reprint of the original 1st ed. 2015 edition NO-PA16APR2015-KAP.