Numerical Mathematics presents the innovative approach of using numerical methods as a practical laboratory for all undergraduate mathematics courses in science and engineering streams. The authors bridge the gap between numerical methods and undergraduate mathematics and emphasize the graphical visualization of mathematical properties, numerical verification of formal statements, and illustrations of the mathematical ideas. Students using Numerical Mathematics as a supplementary reference for basic mathematical courses will be encouraged to develop their mathematical intuition with an effective component of technology, while students using it as the primary text for numerical courses will have a broader, reinforced understanding of the subject.
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Two McMaster University professors review the main concepts and results of linear algebra in the context of numerical methods for solving linear systems, and construct numerical approximations for polynomials, derivatives, integrals, and differential equations. The opening chapter of the undergraduate textbook introduces MATLAB as the numerical lab
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