This Classic edition includes a new appendix which summarizes the major developments since the book was originally published in 1974.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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.
Preface to the Classics Edition; Preface; 1. Introduction; 2. Analysis of the Least Squares Problem; 3. Orthogonal Decomposition by Certain Elementary Orthogonal Transformations; 4. Orthogonal Decomposition by Singular Value Decomposition; 5. Perturbation Theorems for Singular Values; 6. Bounds for the Condition Number of a Triangular Matrix; 7. The Pseudoinverse; 8. Perturbation Bounds for the Pseudoinverse; 9. Perturbation Bounds for the Solution of Problem LS; 10. Numerical Computations Using Elementary Orthogonal Transformations; 11. Computing the Solution for the Overdetermined or Exactly Determined Full Rank Problem; 12. Computation of the Covariance Matrix of the Solution Parameters; 13. Computing the Solution for the Underdetermined Full Rank Problem; 14. Computing the Solution for Problem LS with Possibly Deficient Pseudorank; 15. Analysis of Computing Errors for Householder Transformations; 16. Analysis of Computing Errors for the Problem LS; 17. Analysis of Computing Errors for the Problem LS Using Mixed Precision Arithmetic; 18. Computation of the Singular Value Decomposition and the Solution of Problem LS; 19. Other Methods for Least Squares Problems; 20. Linear Least Squares with Linear Equality Constraints Using a Basis of the Null Space; 21. Linear Least Squares with Linear Equality Constraints by Direct Elimination; 22. Linear Least Squares with Linear Equality Constraints by Weighting; 23. Linear Least Squares with Linear Inequality Constraints; 24. Modifying a QR Decomposition to Add or Remove Column Vectors; 25. Practical Analysis of Least Squares Problems; 26. Examples of Some Methods of Analyzing a Least Squares Problem; 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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Paperback Jan 01, 1987. Condizione: Used: Very Good. Solving Least Squares Problems | Lawson, Charles L., Hanson, Richard J. | Society for Industrial and Applied Mathematics, 1995. In-8° broché, 337p . Couverture propre . Dos solide. Intérieur frais sans soulignage ou annotation. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l'intérieur de l'ouvrage.Très bon état général pour cet ouvrage. [BA53]. Codice articolo 0306US7GA8N
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