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Statistics
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Probability Theory
Basics of Statistics
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Title of the book
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Probability and Statistics for Engineers (Written by Richard L. Scheaffer, Madhuri S. Mulekar, James T. McClave)
Probability and Statistics for Engineering and the Sciences (Written by Jay L Devore)
Introduction to Probability and Statistics for Engineers and Scientists (Written by Sheldon M. Ross)
Numerical Methods for Engineers (Written by S. C. Chapra and R. P. Canale)
Miller and Freund's Probability and Statistics for Engineers (Written by Richard A. Johnson)
Probability and Statistics for Engineers and Scientists (Written by Ronald E. Walpole, Raymond H. Myers, Sharon L. Myers, Keying Ye)
About the Book
About the Contributor
Author:
S. C. Chapra and R. P. Canale
Title of the Book:
Numerical Methods for Engineers
Publisher:
McGraw Hill, New York
Year:
2006
Edition:
5
ISBN:
0071244298
Contributor Name:
Bhushan Manjarekar, B.E., Electronics Engineering, Mumbai University
Reviewer:
R TBC Team
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The generated PDF is not the PDF of the book as named but only is the PDF of the solved example for R
Title of the chapter
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1. Mathematical Modelling and Engineering Problem Solving
3. Approximations and Round off Errors
4. Truncation Errors and the Taylor Series
5. Bracketing Methods
6. Open Methods
7. Roots of Polynomials
9. Gauss Elimination
14. Multidimensional Unconstrained Optimization
15. Constrained Optimization
17. Least squares regression
18. Interpolation
19. Fourier Approximation
21. Newton Cotes Integration Formulas
23. Numerical differentiation
25. Runga Kutta methods
26. Stiffness and multistep methods
27. Boundary Value and Eigenvalue problems
31. Finite Element Method
Example No. (Caption):
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