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This book is written for those who want to pursue a career in developing computational software for engineering and scientific applications. Unlike traditional numerical programming books that focus on the analysis and implementation of numerical methods, this book emphasizes on the development of a reliable and reusable software package. Readers will not only learn implementation of numerical methods but also the software development process that includes creating and using a dynamic-link library, designing flexible test drivers, writing scripting tools for productivity, performing and validating an automated test suite. Based on the computational library developed in this book, readers will also learn how to develop a windows-based application for data visualization and manipulation. Multi-core processors bring parallel computing to mainstream customers. The shift to parallel computing leads to fundamental changes in the design of software. For this reason, this book discusses also how classical numerical programs can be parallelized via Open Multi-Processing.

Numerical methods in this book include evaluation of polynomial and series, root-finding, linear and nonlinear systems, inverse of a matrix, eigenvalues and eigenvector, integration, and least squares approximation. These methods are grouped and presented based on their implementation styles rather than their relevance.