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Cover: 9781316518960 | Introduction to Applied Linear Algebra | Stephen Boyd (u. a.) | Buch
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Introduction to Applied Linear Algebra
Buch von Stephen Boyd (u. a.)
Sprache: Englisch

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Beschreibung
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples
Über den Autor
Stephen Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering at Stanford University,California, with courtesy appointments in the Department of Computer Science, and the Department of Management Science and Engineering. He is the co-author of Convex Optimization (Cambridge, 2004), written with Lieven Vandenberghe.
Inhaltsverzeichnis
Part I. Vectors: 1. Vectors; 2. Linear functions; 3. Norm and distance; 4. Clustering; 5. Linear independence; Part II. Matrices: 6. Matrices; 7. Matrix examples; 8. Linear equations; 9. Linear dynamical systems; 10. Matrix multiplication; 11. Matrix inverses; Part III. Least Squares: 12. Least squares; 13. Least squares data fitting; 14. Least squares classification; 15. Multi-objective least squares; 16. Constrained least squares; 17. Constrained least squares applications; 18. Nonlinear least squares; 19. Constrained nonlinear least squares; Appendix A; Appendix B; Appendix C; Appendix D; Index.
Details
Erscheinungsjahr: 2019
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Seiten: 476
Inhalt: Gebunden
ISBN-13: 9781316518960
ISBN-10: 1316518965
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Boyd, Stephen
Vandenberghe, Lieven
Hersteller: Cambridge University Press
Maße: 260 x 208 x 30 mm
Von/Mit: Stephen Boyd (u. a.)
Erscheinungsdatum: 26.03.2019
Gewicht: 1,236 kg
preigu-id: 112473972
Über den Autor
Stephen Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering at Stanford University,California, with courtesy appointments in the Department of Computer Science, and the Department of Management Science and Engineering. He is the co-author of Convex Optimization (Cambridge, 2004), written with Lieven Vandenberghe.
Inhaltsverzeichnis
Part I. Vectors: 1. Vectors; 2. Linear functions; 3. Norm and distance; 4. Clustering; 5. Linear independence; Part II. Matrices: 6. Matrices; 7. Matrix examples; 8. Linear equations; 9. Linear dynamical systems; 10. Matrix multiplication; 11. Matrix inverses; Part III. Least Squares: 12. Least squares; 13. Least squares data fitting; 14. Least squares classification; 15. Multi-objective least squares; 16. Constrained least squares; 17. Constrained least squares applications; 18. Nonlinear least squares; 19. Constrained nonlinear least squares; Appendix A; Appendix B; Appendix C; Appendix D; Index.
Details
Erscheinungsjahr: 2019
Fachbereich: Allgemeines
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Seiten: 476
Inhalt: Gebunden
ISBN-13: 9781316518960
ISBN-10: 1316518965
Sprache: Englisch
Ausstattung / Beilage: HC gerader Rücken kaschiert
Einband: Gebunden
Autor: Boyd, Stephen
Vandenberghe, Lieven
Hersteller: Cambridge University Press
Maße: 260 x 208 x 30 mm
Von/Mit: Stephen Boyd (u. a.)
Erscheinungsdatum: 26.03.2019
Gewicht: 1,236 kg
preigu-id: 112473972
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