Numerical Methods in Engineering Practice

Numerical Methods in Engineering Practice aims to introduce numerical techniques in engineering and the related topics in applied mathematics early in an engineer's undergraduate education. A comprehensive and detailed treatment of classical and contemporary numerical methods this text emphasizes how to apply these methods to solve "real-world" engineering problems. The text bridges the gap between theory and practice with over 300 practical problems drawn from civil, mechanical and electrical engineering. Its broad topical coverage ranges from elementary matrix algebra to systems of partial differential equations, including many unique topics such as linear and non-linear optimization, easy to understand treatment of cubic spines, and Eigenvalue technique for solving systems of partial differential equations.