Nonlinear Optimization

• Κύριοι συγγραφείς: Aragón, Francisco J. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Goberna, Miguel A. (http://id.loc.gov/vocabulary/relators/aut), López, Marco A. (http://id.loc.gov/vocabulary/relators/aut), Rodríguez, Margarita M.L (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Springer Undergraduate Texts in Mathematics and Technology,
• Θέματα: Mathematical optimization.; Optimization.
• Φυσική περιγραφή: XIV, 350 p. 181 illus., 106 illus. in color. online resource.
• ISBN: 9783030111847
• ISSN: 1867-5506
• DOI: 10.1007/978-3-030-11184-7

This textbook on nonlinear optimization focuses on model building, real world problems, and applications of optimization models to natural and social sciences. Organized into two parts, this book may be used as a primary text for courses on convex optimization and non-convex optimization. Definitions, proofs, and numerical methods are well illustrated and all chapters contain compelling exercises. The exercises emphasize fundamental theoretical results on optimality and duality theorems, numerical methods with or without constraints, and derivative-free optimization. Selected solutions are given. Applications to theoretical results and numerical methods are highlighted to help students comprehend methods and techniques.