Cantitate/Preț
Produs

Schaum's Outline of Matrix Operations

Autor Richard Bronson
en Limba Engleză Paperback – 16 mar 2011
The ideal review for your matrix operations course
More than 40 million students have trusted Schaum’s Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum’s Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice.
  • 363 detailed problems with step-by-step solutions
  • Clear, concise explanations of matrix operations
  • Help with Eigenvalues and the QR Algorithm
  • A solved-problem approach that teaches you with hands-on help
  • Exercises for improving your problem-solving skills
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 12398 lei  22-36 zile
  McGraw Hill Education – 15 aug 1988 12398 lei  22-36 zile
  McGraw Hill Education – 16 mar 2011 15009 lei  40-51 zile +6276 lei  6-12 zile

Preț: 15009 lei

Preț vechi: 18855 lei
-20% Nou

Puncte Express: 225

Preț estimativ în valută:
2873 2994$ 2391£

Carte tipărită la comandă

Livrare economică 03-14 ianuarie 25
Livrare express 30 noiembrie-06 decembrie pentru 7275 lei

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780071756044
ISBN-10: 0071756043
Pagini: 240
Dimensiuni: 208 x 274 x 15 mm
Greutate: 0.55 kg
Ediția:Revised.
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States

Cuprins

1. Basic Operations. 2. Simultaneous Linear Equations3. Square Matrices4. Matrix Inversion5. Determinants6. Vectors7. Eigenvalues and Eigenvectors8. Functions of Matrices9. Canonical Bases10. Similarity11. Inner Products12. Norms13. Hermitian Matrices14. Positive Definite Matrices15. Unitary Transformations16. Quadratic Forms and Congruence17. Nonnegative Matrices18. Patterned Matrices19. Power Methods for Locating Real Eigenvalues20. The OR Algorithm21. Generalized Inverses