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Implementation of Algorithms
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Numerical Methods: Design, Analysis, and Computer
Implementation of Algorithms
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Hardcover: 464 pages Publisher: Princeton University Press; 3.2.2012 edition (April 1, 2012) Language:
English ISBN-10: 0691151229 ISBN-13: 978-0691151229 Product Dimensions: 7.2 x 1.2 x 10 inches
Shipping Weight: 2.5 pounds (View shipping rates and policies)
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Book Description
Numerical Methods provides a clear and concise exploration of standard numerical analysis
topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods,
Markov chains, and fractals. Filled with appealing examples that will motivate students, the
textbook considers modern application areas, such as information retrieval and animation, and
classical topics from physics and engineering. Exercises use MATLAB and promote
understanding of computational results. The book gives instructors the flexibility to emphasize
different aspects--design, analysis, or computer implementation--of numerical algorithms,
depending on the background and interests of students. Designed for upper-division
undergraduates in mathematics or computer science classes, the textbook assumes that students
have prior knowledge of linear algebra and calculus, although these topics are reviewed in the
text. Short discussions of the history of numerical methods are interspersed throughout the
chapters. The book also includes polynomial interpolation at Chebyshev points, use of the
MATLAB package Chebfun, and a section on the fast Fourier transform. Supplementary materials
are available online. Clear and concise exposition of standard numerical analysis topics Explores
nontraditional topics, such as mathematical modeling and Monte Carlo methods Covers modern
applications, including information retrieval and animation, and classical applications from
physics and engineering Promotes understanding of computational results through MATLAB
exercises Provides flexibility so instructors can emphasize mathematical or applied/computational
aspects of numerical methods or a combination Includes recent results on polynomial
interpolation at Chebyshev points and use of the MATLAB package Chebfun Short discussions of
the history of numerical methods interspersed throughout Supplementary materials available
online

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