C/C++ mathematical algorithms for scientists & engineers

Analyze complex numerical data and get the answers you need fast with this time-saving toolbox of powerful C and C++ mathematical routines. All of the programs are written in C, with C++ extensions provided for those cases where using the C++ classes offers a special advantage. The code is compatible with a variety of platforms, including UNIX, Windows, and DOS. Author and programming expert Namir Shammas covers a wide range of popular numerical analysis and statistical topics: solving linear and nonlinear equations; interpolation use methods; differentiation - tools for estimating the derivative of a function; integration - tools for calculating the finite and infinite integrals for functions; optimization of single-variable and multivariable functions; basic statistics; various types of ANOVA tables; linear regression; and multiple and polynomial regression. In addition to providing libraries for common mathematical and statistical functions, Shammas includes pseudo-code for the algorithms used to implement the various methods, allowing you to execute these algorithms in other programming languages, such as BASIC and Pascal.