Solving least squares problems:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Philadelphia, Pa.
Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104)
1995
|
Ausgabe: | "This SIAM edition is an unabridged, revised republication of the work first published by Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1974"--T.p. verso |
Schriftenreihe: | Classics in applied mathematics
15 |
Schlagworte: | |
Online-Zugang: | TUM01 UBW01 UBY01 UER01 Volltext |
Beschreibung: | Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader Includes bibliographical references (s. 312-326) and index Preface to the Classics edition -- Preface -- Chapter 1. Introduction -- Chapter 2. Analysis of the least squares problem -- Chapter 3. Orthogonal decomposition by certain elementary orthogonal transformations -- Chapter 4. Orthogonal decomposition by singular value decomposition -- Chapter 5. Perturbation theorems for singular values -- Chapter 6. Bounds for the condition number of a triangular matrix -- Chapter 7. The pseudoinverse -- Chapter 8. Perturbation bounds for the pseudoinverse -- Chapter 9. Perturbation bounds for the solution of problem LS -- Chapter 10. Numerical computations using elementary orthogonal transformations -- Chapter 11. Computing the solution for the overdetermined or exactly-- determined full rank problem -- Chapter 12. Computation of the covariance matrix of the solution parameters -- Chapter 13. Computing the solution for the underdetermined full rank problem -- Chapter 14. Computing the solution for problem LS with possibly deficient pseudorank -- Chapter 15. Analysis of computing errors for householder transformations -- Chapter 16. Analysis of computing errors for the problem LS -- Chapter 17. Analysis of computing errors for the problem LS using mixed precision arithmetic -- Chapter 18. Computation of the singular value decomposition and the solution of problem LS -- Chapter 19. Other methods for least squares problems -- Chapter 20. Linear least squares with linear equality constraints using a basis of the null space -- Chapter 21. Linear least squares with linear equality constraints by direct elimination -- Chapter 22. Linear least squares with linear equality constraints by weighting -- Chapter 23. Linear least squares with linear inequality constraints -- Chapter 24. Modifying a QR decomposition to add or remove column vectors -- Chapter 25. Practical analysis of least squares problems -- Chapter 26. Examples of some methods of analyzing a least squares problem -- Chapter 27. Modifying a QR decomposition to add or remove row vectors with Application to sequential processing of problems having a large or banded coefficient matrix -- Appendix A. Basic linear algebra including projections -- Appendix B. Proof of global quadratic convergence of the QR algorithm -- Appendix C. Description and use of FORTRAN codes for solving problem LS -- Appendix D. Developments from 1974 to 1995 -- Bibliography -- Index |
Beschreibung: | 1 Online Ressource (xii, 337 Seiten) |
ISBN: | 0898713560 9780898713565 |
DOI: | 10.1137/1.9781611971217 |
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264 | 1 | |a Philadelphia, Pa. |b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) |c 1995 | |
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490 | 1 | |a Classics in applied mathematics |v 15 | |
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500 | |a Includes bibliographical references (s. 312-326) and index | ||
500 | |a Preface to the Classics edition -- Preface -- Chapter 1. Introduction -- Chapter 2. Analysis of the least squares problem -- Chapter 3. Orthogonal decomposition by certain elementary orthogonal transformations -- Chapter 4. Orthogonal decomposition by singular value decomposition -- Chapter 5. Perturbation theorems for singular values -- Chapter 6. Bounds for the condition number of a triangular matrix -- Chapter 7. The pseudoinverse -- Chapter 8. Perturbation bounds for the pseudoinverse -- Chapter 9. Perturbation bounds for the solution of problem LS -- Chapter 10. Numerical computations using elementary orthogonal transformations -- Chapter 11. Computing the solution for the overdetermined or exactly-- determined full rank problem -- Chapter 12. Computation of the covariance matrix of the solution parameters -- Chapter 13. Computing the solution for the underdetermined full rank problem -- Chapter 14. Computing the solution for problem LS with possibly deficient pseudorank -- Chapter 15. Analysis of computing errors for householder transformations -- Chapter 16. Analysis of computing errors for the problem LS -- Chapter 17. Analysis of computing errors for the problem LS using mixed precision arithmetic -- Chapter 18. Computation of the singular value decomposition and the solution of problem LS -- Chapter 19. Other methods for least squares problems -- | ||
500 | |a Chapter 20. Linear least squares with linear equality constraints using a basis of the null space -- Chapter 21. Linear least squares with linear equality constraints by direct elimination -- Chapter 22. Linear least squares with linear equality constraints by weighting -- Chapter 23. Linear least squares with linear inequality constraints -- Chapter 24. Modifying a QR decomposition to add or remove column vectors -- Chapter 25. Practical analysis of least squares problems -- Chapter 26. Examples of some methods of analyzing a least squares problem -- Chapter 27. Modifying a QR decomposition to add or remove row vectors with Application to sequential processing of problems having a large or banded coefficient matrix -- Appendix A. Basic linear algebra including projections -- Appendix B. Proof of global quadratic convergence of the QR algorithm -- Appendix C. Description and use of FORTRAN codes for solving problem LS -- Appendix D. Developments from 1974 to 1995 -- Bibliography -- Index | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Lawson, Charles L. 194X- |
author_GND | (DE-588)1062525639 (DE-588)1212251857 |
author_facet | Lawson, Charles L. 194X- |
author_role | aut |
author_sort | Lawson, Charles L. 194X- |
author_variant | c l l cl cll |
building | Verbundindex |
bvnumber | BV039747314 |
classification_rvk | QH 234 SK 910 |
collection | ZDB-72-SIA |
ctrlnum | (OCoLC)775728887 (DE-599)BVBBV039747314 |
discipline | Mathematik Wirtschaftswissenschaften |
doi_str_mv | 10.1137/1.9781611971217 |
edition | "This SIAM edition is an unabridged, revised republication of the work first published by Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1974"--T.p. verso |
format | Electronic eBook |
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indexdate | 2024-07-10T00:10:18Z |
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isbn | 0898713560 9780898713565 |
language | English |
lccn | 95035178 |
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spelling | Lawson, Charles L. 194X- Verfasser (DE-588)1062525639 aut Solving least squares problems Charles L. Lawson, Richard J. Hanson "This SIAM edition is an unabridged, revised republication of the work first published by Prentice-Hall, Inc., Englewood Cliffs, New Jersey, 1974"--T.p. verso Philadelphia, Pa. Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104) 1995 1 Online Ressource (xii, 337 Seiten) txt rdacontent c rdamedia cr rdacarrier Classics in applied mathematics 15 Mode of access: World Wide Web. - System requirements: Adobe Acrobat Reader Includes bibliographical references (s. 312-326) and index Preface to the Classics edition -- Preface -- Chapter 1. Introduction -- Chapter 2. Analysis of the least squares problem -- Chapter 3. Orthogonal decomposition by certain elementary orthogonal transformations -- Chapter 4. Orthogonal decomposition by singular value decomposition -- Chapter 5. Perturbation theorems for singular values -- Chapter 6. Bounds for the condition number of a triangular matrix -- Chapter 7. The pseudoinverse -- Chapter 8. Perturbation bounds for the pseudoinverse -- Chapter 9. Perturbation bounds for the solution of problem LS -- Chapter 10. Numerical computations using elementary orthogonal transformations -- Chapter 11. Computing the solution for the overdetermined or exactly-- determined full rank problem -- Chapter 12. Computation of the covariance matrix of the solution parameters -- Chapter 13. Computing the solution for the underdetermined full rank problem -- Chapter 14. Computing the solution for problem LS with possibly deficient pseudorank -- Chapter 15. Analysis of computing errors for householder transformations -- Chapter 16. Analysis of computing errors for the problem LS -- Chapter 17. Analysis of computing errors for the problem LS using mixed precision arithmetic -- Chapter 18. Computation of the singular value decomposition and the solution of problem LS -- Chapter 19. Other methods for least squares problems -- Chapter 20. Linear least squares with linear equality constraints using a basis of the null space -- Chapter 21. Linear least squares with linear equality constraints by direct elimination -- Chapter 22. Linear least squares with linear equality constraints by weighting -- Chapter 23. Linear least squares with linear inequality constraints -- Chapter 24. Modifying a QR decomposition to add or remove column vectors -- Chapter 25. Practical analysis of least squares problems -- Chapter 26. Examples of some methods of analyzing a least squares problem -- Chapter 27. Modifying a QR decomposition to add or remove row vectors with Application to sequential processing of problems having a large or banded coefficient matrix -- Appendix A. Basic linear algebra including projections -- Appendix B. Proof of global quadratic convergence of the QR algorithm -- Appendix C. Description and use of FORTRAN codes for solving problem LS -- Appendix D. Developments from 1974 to 1995 -- Bibliography -- Index Datenverarbeitung Least squares / Data processing Methode der kleinsten Quadrate (DE-588)4038974-1 gnd rswk-swf Algorithmus (DE-588)4001183-5 gnd rswk-swf Ausgleichsrechnung (DE-588)4143526-6 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Ausgleichsrechnung (DE-588)4143526-6 s Datenverarbeitung (DE-588)4011152-0 s DE-604 Methode der kleinsten Quadrate (DE-588)4038974-1 s Algorithmus (DE-588)4001183-5 s Hanson, Richard J. Sonstige (DE-588)1212251857 oth Erscheint auch als Druck-Ausgabe, Paperback 0898713560 Erscheint auch als Druck-Ausgabe, Paperback 9780898713565 Classics in applied mathematics 15 (DE-604)BV040633091 15 https://doi.org/10.1137/1.9781611971217 Verlag Volltext |
spellingShingle | Lawson, Charles L. 194X- Solving least squares problems Classics in applied mathematics Datenverarbeitung Least squares / Data processing Methode der kleinsten Quadrate (DE-588)4038974-1 gnd Algorithmus (DE-588)4001183-5 gnd Ausgleichsrechnung (DE-588)4143526-6 gnd Datenverarbeitung (DE-588)4011152-0 gnd |
subject_GND | (DE-588)4038974-1 (DE-588)4001183-5 (DE-588)4143526-6 (DE-588)4011152-0 |
title | Solving least squares problems |
title_auth | Solving least squares problems |
title_exact_search | Solving least squares problems |
title_full | Solving least squares problems Charles L. Lawson, Richard J. Hanson |
title_fullStr | Solving least squares problems Charles L. Lawson, Richard J. Hanson |
title_full_unstemmed | Solving least squares problems Charles L. Lawson, Richard J. Hanson |
title_short | Solving least squares problems |
title_sort | solving least squares problems |
topic | Datenverarbeitung Least squares / Data processing Methode der kleinsten Quadrate (DE-588)4038974-1 gnd Algorithmus (DE-588)4001183-5 gnd Ausgleichsrechnung (DE-588)4143526-6 gnd Datenverarbeitung (DE-588)4011152-0 gnd |
topic_facet | Datenverarbeitung Least squares / Data processing Methode der kleinsten Quadrate Algorithmus Ausgleichsrechnung |
url | https://doi.org/10.1137/1.9781611971217 |
volume_link | (DE-604)BV040633091 |
work_keys_str_mv | AT lawsoncharlesl solvingleastsquaresproblems AT hansonrichardj solvingleastsquaresproblems |