COVER:  http://i.imgur.com/AFZYVAM.jpg
TITLE: Numerical Methods for Engineers, 7th edition (2015)
AUTHOR: Steven C. Chapra, Raymond P. Canale
ISBN-13: 9780073397924
BOOK SPECS: https://www.mheducation.com/highered/product/007339792X.html
FILE SPECS: true PDF, logical page numbers as in the print version, bookmarks, 16 MB

DESCRIPTION: The 7th edition of Chapra and Canale's NUMERICAL METHODS FOR ENGINEERS retains the instructional techniques that have made the text so successful. Chapra and Canale's unique approach opens each part of the text with sections called "Motivation", "Mathematical Background", and "Orientation". Each part closes with an "Epilogue" containing "Trade-Offs", "Important Relationships and Formulas", and "Advanced Methods and Additional References". Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods.

Numerous new or revised problems are drawn from actual engineering practice. The expanded breadth of engineering disciplines covered is especially evident in these exercises, which now cover such areas as biotechnology and biomedical engineering. Excellent new examples and case studies span all areas of engineering giving students a broad exposure to various fields in engineering.

BRIEF CONTENTS:
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PART 1  MODELING, COMPUTERS, AND ERROR ANALYSIS
 1 Mathematical Modeling and Engineering Problem Solving
 2 Programming and Software
 3 Approximations and Round-Off Errors
 4 Truncation Errors and the Taylor Series
PART 2  ROOTS OF EQUATIONS
 5 Bracketing Methods
 6 Open Methods
 7 Roots of Polynomials
 8 Case Studies: Roots of Equations
PART 3  LINEAR ALGEBRAIC EQUATIONS
 9 Gauss Elimination
 10 LU Decomposition and Matrix Inversion
 11 Special Matrices and Gauss-Seidel
 12 Case Studies: Linear Algebraic Equations
PARt 4  OPTIMIZATION
 13 One-Dimensional Unconstrained Optimization
 14 Multidimensional Unconstrained Optimization
 15 Constrained Optimization
 16 Case Studies: Optimization
PART 5  CURVE FITTING
 17 Least-Squares Regression
 18 Interpolation
 19 Fourier Approximation
 20 Case Studies: Curve Fitting
PART 6  NUMERICAL DIFFERENTIATION AND INTEGRATION
 21 Newton-Cotes Integration Formulas
 22 Integration of Equations
 23 Numerical Differentiation
 24 Case Studies: Numerical Integration and Differentiation
PART 7  ORDINARY DIFFERENTIAL EQUATIONS
 25 Runge-Kutta Methods
 26 Stiffness and Multistep Methods
 27 Boundary-Value and Eigenvalue Problems
 28 Case Studies: Ordinary Differential Equations
PART 8  PARTIAL DIFFERENTIAL EQUATIONS
 29 Finite Difference: Elliptic Equations
 30 Finite Difference: Parabolic Equations
 31 Finite-Element Method
 32 Case Studies: Partial Differential Equations
appendixes
bibliography