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...

Why do businesses consistently fail to execute their competitive strategies? Because leaders don't identify and invest in the full range of projects and programs required to align the organization with its strategy. Moreover, even when strategy makers do break their plans down into doable chunks, they seldom work with project leaders to prioritize strategic investments and assure that needed resources are applied in priority order. And they often neglect to revise the strategic portfolio to fit the demands of a dynamic environment, or to stay connected to strategic projects through...