Numerical Methods with MATLAB: An Introducation with Applications Using MATLAB - Tapa blanda

A comprehensive guide to the latest version MATLAB Providing you with concise coverage on the essential topics of numerical methods, this new edition presents the latest version of the MATLAB software and focuses on the use of anonymous functions instead of inline functions, along with the uses of subfunctions and nested functions. The author has added a new chapter on the subject of Eignvalues and Eigenvectors as well as on FFT. Plus, the number of end of chapter problems has been increased and revised, encouraging you to test your understanding of the material while also reinforcing key concepts. * Includes a comprehensive update of the MATLAB coverage to present the latest version of the software * Focuses on the use of anonymous functions instead of inline functions along with the uses of subfunctions and nested functions * Features a new chapter on Eignvalues, Eigenvectors, and FFT * Increases and revises the end of chapter problems to make the material more relevant * Offers more applications from all branches of engineering With this book, you'll have a reliable source on all the essential topics of numerical methods.

Amos Gilat, Ph.D., is Professor of Mechanical Engineering at The Ohio State University. Dr. Gillat s main research interests are in plasticity, specifically, in developing experimental techniques for testing materials over a wide range of strain rates and temperatures and in investigating constitutive relations for viscoplasticity. Dr. Gilat s research has been supported by the National Science Foundation, NASA, Federal Aviation Administration, Department of Defense, and various industries. Vish Subramaniam, Ph.D., is a Professor of Mechanical Engineering & Chemical Physics at The Ohio State University. Dr. Subramaniam s main research interests are in cancer detection and imaging, plasma and laser physics and processes, particularly those that involve non-equilibirum phenomena. Dr. Subramaniam s research is both experimental and computational, and has been supported by The Department of Defense, National Science Foundation, and numerous industries.