Numerical analysis

"Computational science is fundamentally changing how technological questions are addressed. The design of aircraft, automobiles, and even racing sailboats is now done by computational simulation. The mathematical foundation of this new approach is numerical analysis, which studies algorithms fo...

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Bibliographic Details
Main Author: Scott, L. Ridgway
Format: eBook
Language:English
Published: Princeton, New Jersey Princeton University Press, [2011]
Subjects:
Online Access:EBSCOhost
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049 |a MAIN 
100 1 |a Scott, L. Ridgway,  |9 310287 
245 1 0 |a Numerical analysis  |c L. Ridgway Scott. 
264 1 |a Princeton, New Jersey  |b Princeton University Press,  |c [2011] 
300 |a 1 online resource (325 pages)  |b illustrations 
504 |a Includes bibliographical references and index. 
505 0 |a 1. Numerical algorithms -- 2. Nonlinear equations -- 3. Linear systems -- 4. Direct solvers -- 5. Vector spaces -- 6. Operators -- 7. Nonlinear systems -- 8. Iterative methods -- 9. Conjugate gradients -- 10. Polynominal interpolation -- 11. Chebyshev and Hermite interpolation -- 12. Approximation theory -- 13. Numerical quadrature -- 14. Eigenvalue problems -- 15. Eigenvalue algorithms -- 16. Ordinary differential equations -- 17. Higher-order ODE discretization methods -- 18. Floating point -- 19. Notation. 
520 |a "Computational science is fundamentally changing how technological questions are addressed. The design of aircraft, automobiles, and even racing sailboats is now done by computational simulation. The mathematical foundation of this new approach is numerical analysis, which studies algorithms for computing expressions defined with real numbers. Emphasizing the theory behind the computation, this book provides a rigorous and self-contained introduction to numerical analysis and presents the advanced mathematics that underpin industrial software, including complete details that are missing from most textbooks. Using an inquiry-based learning approach, Numerical Analysis is written in a narrative style, provides historical background, and includes many of the proofs and technical details in exercises. Students will be able to go beyond an elementary understanding of numerical simulation and develop deep insights into the foundations of the subject. They will no longer have to accept the mathematical gaps that exist in current textbooks. For example, both necessary and sufficient conditions for convergence of basic iterative methods are covered, and proofs are given in full generality, not just based on special cases. The book is accessible to undergraduate mathematics majors as well as computational scientists wanting to learn the foundations of the subject"--Provided by publisher. 
588 0 |a Print version record. 
653 0 |a Numerical analysis. 
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