Nonlinear Programming

Originally published by Prentice-Hall in 1976, Mordecai Avriel’s Nonlinear Programming became a foundational textbook for students and researchers in the fields of operations research and mathematical optimization. The work provides a rigorous treatment of the theory, algorithms, and applications of nonlinear optimization, covering essential concepts like convex sets, functions, and the Karush-Kuhn-Tucker conditions. It is widely regarded for its clarity and depth, serving as a primary reference for those navigating the transition from linear to nonlinear mathematical modeling.

The 2003 edition, released by Dover Publications, made this influential technical work accessible to a new generation of scholars at an affordable price point. Dover is well-known in the academic community for preserving classic scientific and mathematical texts that might otherwise have gone out of print. By reissuing this specific title, they ensured that Avriel’s comprehensive analysis of constrained optimization problems remained a standard tool for graduate students and engineering professionals interested in the computational aspects of structural design and resource allocation.