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Approximation Theory and Methods (1st Edition)

Author: M. J. D. Powell
Binding: Paperback 
Paper Quality: Imported white (for international edition) / Standard offset (for reprints)
Category: Mathematics, Numerical Analysis, Computational Mathematics
Recommended For:
BS / MSc Mathematics, Computer Science, Engineering students, and researchers in numerical analysis, machine learning, or applied mathematics.

Key Points:

  1. Authoritative Text by a Renowned Numerical Analyst
    Written by M. J. D. Powell, a leading figure in numerical methods and optimization, this book is a standard reference in approximation theory.

  2. Focus on Practical and Theoretical Methods
    Covers a wide range of topics including interpolation, least squares approximation, spline functions, Chebyshev polynomials, and nonlinear approximations.

  3. Rigorous Yet Accessible
    Presents mathematical foundations alongside algorithmic implementation, suitable for both theoretical study and practical applications.

  4. Extensive Worked Examples
    Each chapter includes numerical examples and exercises, supporting independent study or course instruction.

  5. Essential for Applied Mathematics and Scientific Computing
    Highly valuable for students and professionals in computational science, engineering design, and data fitting problems.

  6. Widely Used in Research and Academia
    Frequently cited in academic papers and included in reading lists for advanced mathematics and computer science programs.

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Writer                               M. J. D. Powell (Author)

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