Nabil Nassif, Jocelyne Erhel, Bernard Philippe

Introduction to Computational Linear Algebra (eBook, PDF)

• Format: PDF

Produktbeschreibung

This text presents classroom-tested material on computational linear algebra and its application to numerical solutions of PDEs and ODEs. It covers the fundamentals needed in numerical linear algebra and describes many methods for solving a range of linear equations. The book expresses the numerical methods using pseudo-code or a detailed MATLAB program. Numerous exercises and computer projects test students' understanding of the mathematics of numerical methods and the art of computer programming.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 259
• Erscheinungstermin: 24. Juni 2015
• Englisch
• ISBN-13: 9781482258714
• Artikelnr.: 57070211

Autorenporträt

Nabil Nassif is affiliated with the Department of Mathematics at the American University of Beirut, where he teaches and conducts research in mathematical modeling, numerical analysis, and scientific computing. He earned a PhD in applied mathematics from Harvard University under the supervision of Professor Garrett Birkhoff.

Jocelyne Erhel is a senior research scientist and scientific leader of the Sage team at INRIA in Rennes, France. She earned a PhD from the University of Paris. Her research interests include sparse linear algebra and high performance scientific computing applied to geophysics, mainly groundwater models.

Bernard Philippe was a senior research scientist at INRIA in Rennes, France, until 2015 when he retired. He earned a PhD from the University of Rennes. His research interests include matrix computing with a special emphasis on large-sized eigenvalue problems.

Inhaltsangabe

Basic Linear Algebra Subprograms: BLAS. Basic Concepts for Matrix
Computations. Gauss Elimination and LU Decompositions of Matrices.
Orthogonal Factorizations and Linear Least Squares Problems. Algorithms for
the Eigenvalue Problem. Iterative Methods for Systems of Linear Equations.
Sparse Systems to Solve Poisson Differential Equations. Bibliography.
Index.