Synopsis
An accessible text for the study of numerical methods for solving least squares problems remains an essential part of a scientific software foundation. This book has served this purpose well. Numerical analysts, statisticians, and engineers have developed techniques and nomenclature for the least squares problems of their own discipline. This well-organized presentation of the basic material needed for the solution of least squares problems can unify this divergence of methods. Mathematicians, practicing engineers, and scientists will welcome its return to print. The material covered includes Householder and Givens orthogonal transformations, the QR and SVD decompositions, equality constraints, solutions in nonnegative variables, banded problems, and updating methods for sequential estimation. Both the theory and practical algorithms are included. The easily understood explanations and the appendix providing a review of basic linear algebra make the book accessible for the non-specialist.
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Book Description
This Classic edition includes a new appendix which summarizes the major developments since the book was originally published in 1974. The additions are organized in short sections associated with each chapter. An additional 230 references have been added, bringing the bibliography to over 400 entries. Appendix C has been edited to reflect changes in the associated software package and software distribution method.
About the Author
Richard J. Hanson is a Research Scientist at the Rice Univeristy Center for High Performance Software Research in Houston, Texas. Charles Lawson retired from the Jet Propulsion Propulsion Laboratory of the California Institute of Technology (Caltech) in October, 1996. He is now self-employed, working out of his home in San Clemente, California
"About this title" may belong to another edition of this title.
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Solving Least Squares Problems.
Published by
Longman Higher Education, 1974
ISBN 10: 0138225850
ISBN 13: 9780138225858
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gebundene Ausgabe. Condition: Gut. 340 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 650. Seller Inventory # 2216955
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Solving Least Squares Problems (Prentice-Hall Series in Automatic Computation)
Published by
Prentice Hall, 1974
ISBN 10: 0138225850
ISBN 13: 9780138225858
Used
Hardcover
First Edition
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Hardcover. Condition: Fine. No Jacket. 1st Edition. This is a fine, hardcover first edition, 3rd printing copy in blue binding, no DJ, 340 pages with index. Seller Inventory # 104289
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Solving Least Squares Problems (Prentice-Hall Series in Automatic Computation)
Published by
Longman Higher Education, 1974
ISBN 10: 0138225850
ISBN 13: 9780138225858
Used
Hardcover
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hardcover. Condition: Befriedigend. 340 Seiten; 9780138225858.4 Gewicht in Gramm: 1. Seller Inventory # 904148
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Solving Least Squares Problems (Prentice-Hall Series in Automatic Computation)
Published by
Prentice Hall, 1974
ISBN 10: 0138225850
ISBN 13: 9780138225858
Used
Hardcover
First Edition
Seller: Reader's Corner, Inc., Raleigh, NC, U.S.A.
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Hardcover. Condition: As New. Dust Jacket Included. 1st Edition. This is a fine, as new, obviously unread, hardcover first edition copy in blue binding, no DJ, but I found a DJ from another copy which I have included. 340 pages with index. Seller Inventory # 104288
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Solving lest squares problems Sommaire: Analysis if the least squares problem; Orthogoonal decomposition by certain elemntary orthogonal transformations; The pseudoinverse.
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Couverture rigide. Condition: bon. R260270556: 1974. In-8. Relié. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. 340 pages. . . . Classification Dewey : 510-Mathématiques. Seller Inventory # R260270556
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Solving Least Squares Problems (Prentice-Hall Series in Automatic Computation)
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Hardcover. Condition: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks. Seller Inventory # Scanned0138225850