This book presents a unique approach for one semester numerical methods and numerical analysis courses. Well organized but flexible, the text is brief and clear enough for introductory numerical analysis students to "get their feet wet," yet comprehensive enough in its treatment of problems and applications for higher-level students to develop a deeper grasp of numerical tools.
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Key Benefit: This book presents a unique approach to the understanding of numerical methods and numerical analysis. Well organized, flexible, and brief, yet comprehensive enough in its treatment of problems and applications to develop a deeper grasp of numerical tools. Key Topics: In addition to standard topical coverage, each chapter includes: a sketch of a “hard” problem that involves ill-conditioning, high dimension, etc.; at least one theorem with both a rigorous proof and a “proof by MATLAB”; at least one recursive algorithm; and at least one connection to a real-world application.
Charles F. Van Loan has been at Cornell University since 1975, where he is a Professor of Computer Science and the Joseph C. Ford Professor of Engineering. He is a SIAM Fellow and the author of Matrix Computations (with G. H. Golub; Johns Hopkins, 1996), Introduction to Scientific Computing: A Matrix-Vector Approach Using MATLAB (Prentice Hall, 1999), Computational Frameworks for the Fast Fourier Transform (SIAM, 1992), Handbook for Matrix Computations (with T. F. Coleman; SIAM, 1988), and Introduction to Computational Science and Mathematics (James and Bartlett, 1996).
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