Nonlinear Optimization

Discover the essential textbook, Nonlinear Optimization by Francisco J. Aragón, published by Springer Nature Switzerland AG in 2019. With a comprehensive page count of 350, this hardback edition delves into the intricacies of nonlinear optimization, offering invaluable insights for students and professionals alike.

This book emphasizes model building and addresses real-world problems, showcasing the application of optimization models across both natural and social sciences. Readers will benefit from a plethora of exercises that reinforce key theoretical concepts, including optimality and duality theorems. Additionally, the text covers essential numerical methods, both with and without constraints, as well as techniques for derivative-free optimization.

Whether you're a seasoned expert or a newcomer to the field, Nonlinear Optimization is an indispensable resource for enhancing your understanding and practical skills in optimization.