Friday, May 25, 2012

Chapra -- Applied Numerical Methods with MATLAB, 3/e

Science, Engineering & Mathematics Steven Chapra’s Applied Numerical Methods with MATLAB, third edition, is written for engineering and science students who need to learn numerical problem solving. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. The book is designed for a one-semester or one-quarter course in numerical methods typically taken by undergraduates. The third edition features new chapters on Eigenvalues and Fourier Analysis and is accompanied by an extensive set of m-files and instructor materials. Key Features Engineering Examples, case studies, and applications are presented throughout the text and cover the many engineering disciplines. The level of mathematical rigor is appropriate for students at this level. MATLAB m-files Examples and problems are integrated with MATLAB M-files, and relevant MATLAB functions are introduced in each chapter. These files are available on the McGraw-Hill companion website as well as the MATLAB website. Companion Website contains the instructor's solutions manual, PowerPoint lecture slides, and MATLAB M-files. Two New Chapters Chapter 13-Eigenvalues, and Chapter 16-Fast Fourier Transform have been added. ISBN: 9781259027437 I Pages: 671pp I Price: Rs. 575.00 Table of Contents Tata McGraw Hill Education Private Limited B-4, Sector-63, NOIDA Phone: 0120-4383400 Applied Numerical Methods with MATLAB, 3e Market - UG (common to all engineering braches) For more information please contact or visit us at www.tatamcgrawhill.com This mail is a part of our promotional campaign. If you wish to unsubscribe to this, kindly reply with the subject unsubscribe the mail. Follow us on: @ http://www.facebook.com/TataMcGrawHillHigherEducation Steven C Chapra Berger Chair in Computing Engineering, Tufts University Available! Part one: Modeling, Computers, and Error Analysis Mathematical Modeling, Numerical Methods, and Problem Solving MATLAB Fundamentals Programming with MATLAB Roundoff and Truncation Errors Part two: Roots and Optimization 5. Roots: Bracketing Methods 6. Roots: Open Methods 7. Optimization Part three: Linear Systems 8. Linear Algebraic Equations and Matrices 9. Gauss Elimination 10. LU Factorization 11. Matrix Inverse and Condition 12. Iterative Methods 13. Eigenvalues Part four: Curve Fitting 14. Linear Regression 15. General Linear Least-Squares and Nonlinear Regression 16. Fourier Analysis 17. Polynomial Interpolation 18. Splines and Piecewise Interpolation Part five: Integration and Differentiation 19. Numerical Integration Formulas 20. Numerical Integration of Functions 21. Numerical Differentiation Part six: Ordinary Differential Equations Chapter 22: Initial-Value Problems Chapter 23: Adaptive Methods and Stiff Systems Chapter 24: Boundary-Value Problems
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