Bøker av Kumar Nandakumar

Revolutionary advances in hardware and software technology have made computer aided design and analysis a standard tool in engineering practice. While this puts a lot of power at the hands of the end user, in order to use them wisely and interpret the results correctly, the users are expected to have a sound knowledge of the relationship between the physical world and the mathematical model and that between the mathematical model and the numerical approximation. The text examines the link between the mathematical and the numerical model in a succinct manner. Numerical algorithms relevant to engineers are developed and applied to solve industrial problems.The text is intended for senior level undergraduate and first year graduate students without rigorous training in numerical analysis. The following topics are covered both in theory and practical examples.-Roots of non-linear equations.-Systems of linear algebraic equations.-Interpolation and curve fitting.-Numerical differentiation and integration.-Ordinary differential equation - initial value problems.-Ordinary differential equations - boundary value problems.-Partial differential equations.

Revolutionary advances in hardware and software technology have made computer aided design and analysis a standard tool in engineering practice. This obviously puts a lot of power in the hands of the end user, in order to use these tools wisely and interpret the results correctly, users are expected to have a sound knowledge of the relationship betweenthe physical world and the mathematical model and that between the mathematical model and the numerical approximation.The text is intended for both senior level undergraduate and first year graduate students without a comprehensive numerical background. Motivation for the text has grown from the authors' need to provide a text which covers both advanced features of numerical methods and specific applications in process and mechanical engineering.An important complement to the text are the MATLAB* algorithms that appear throughout. Soft copies of these algorithms are available at http: //websrv.mece.ualberta.ca/mrflynn/mnhf mfiles/. Students are encouraged to download, run and modify the .m files in question so as to accelerate their understanding of both MATLAB and numerical methods more generally. Also, for students who are new to MATLAB, the material of Appendix A is designed to highlight key features associated with this powerful computational tool