Numerical Analysis, 2nd Edition, is a modern and readable text for the undergraduate audience.
This book covers not only the standard topics but also some more advanced numerical methods being used by computational scientists and engineers-topics such as compression, forward and backward error analysis, and iterative methods of solving equations-all while maintaining a level of discussion appropriate for undergraduates. Each chapter contains a Reality Check, which is an extended exploration of relevant application areas that can launch individual or team projects. MATLAB (R) is used throughout to demonstrate and implement numerical methods. The 2nd Edition features many noteworthy improvements based on feedback from users, such as new coverage of Cholesky factorisation, GMRES methods, and nonlinear PDEs.
This book covers not only the standard topics but also some more advanced numerical methods being used by computational scientists and engineers-topics such as compression, forward and backward error analysis, and iterative methods of solving equations-all while maintaining a level of discussion appropriate for undergraduates. Each chapter contains a Reality Check, which is an extended exploration of relevant application areas that can launch individual or team projects. MATLAB (R) is used throughout to demonstrate and implement numerical methods. The 2nd Edition features many noteworthy improvements based on feedback from users, such as new coverage of Cholesky factorisation, GMRES methods, and nonlinear PDEs.
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