Numerical Methods for Engineers
- New York: McGraw Hill Education, 2021.
- 988p.
Part One. Modeling, computers, and error analysis Part Two. Roots of equations Part Three. Linear algebraic equations Part Four. Optimization Part Five. Curve fitting Part Six. Numerical differentiation and integration Part Seven. Ordinary differential equations Part Eight. Partial differential equations Mathematical modeling and engineering problem solving Programming and software Approximations and round-off errors Truncation errors and the Taylor series Epilogue : Part One Bracketing methods Open methods Roots of polynomials Case studies : Roots of equation