书目名称 | Nonlinear Optimization |
编辑 | Francisco J. Aragón,Miguel A. Goberna,Margarita M. |
视频video | |
概述 | Textbook for convex optimization and non-convex optimization courses.Contains exercises with select solutions.Features model building, real problems, and applications of optimization models.Provides n |
丛书名称 | Springer Undergraduate Texts in Mathematics and Technology |
图书封面 |  |
描述 | .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.. |
出版日期 | Textbook 2019 |
关键词 | convexity; coercivity; linear regression; Jensen‘s inequalities; polynomial regression; Lagrange duality; |
版次 | 1 |
doi | https://doi.org/10.1007/978-3-030-11184-7 |
isbn_ebook | 978-3-030-11184-7Series ISSN 1867-5506 Series E-ISSN 1867-5514 |
issn_series | 1867-5506 |
copyright | Springer Nature Switzerland AG 2019 |