Numerical Recipes in C

This book is arranged by algorithms suite instead of the more common enhancement/restoration/reconstruction format found in other texts. Ordering by algorithm is to allow Computer Imaging Recipes in C to be used as a reference guide when developing imaging software systems and solving problems requiring image processing. It is our opinion that this ordering improves comprehension of algorithmic processes in imaging as each suite follows a logical and sequential progression leading from basic techniques of algebraic, geoemetric, and grayscale manupulations through complex and powerful convolution, spatial frequency, and adaptive filtering methods. The book also contains reference to and descriptions of common image file formats and disply technologies...

Illustrating the relevance of linear approximation in a variety of fields, Numerical Linear Approximation in C presents a unique collection of linear approximation algorithms that can be used to analyze, model, and compress discrete data. Developed by the lead author, the algorithms have been successfully applied to several engineering projects at the National Research Council of Canada. Basing most of the algorithms on linear programming techniques, the book begins with an introductory section that covers applications, the simplex method, and matrices. The next three parts focus on various L1, Chebyshev, and least squares approximations, including one-sided, bounded variables, and piecewise. The final section presents the solution of underdetermined...