Title
Convex Analysis and Optimization,Used
Processing time: 1-3 days
US Orders Ships in: 3-5 days
International Orders Ships in: 8-12 days
Return Policy: 15-days return on defective items
A uniquely pedagogical, insightful, and rigorous treatment of the analytical/geometrical foundations of optimization. Among its special features, the book: 1) Develops rigorously and comprehensively the theory of convex sets and functions 2) Provides a geometric, highly visual treatment of convex and nonconvex optimization problems, including existence of solutions, optimality conditions, Lagrange multipliers, and duality 3) Includes an insightful and comprehensive presentation of minimax theory and zero sum games, and its connection with duality 4) Describes dual optimization, the associated computational methods, including the novel incremental subgradient methods, and applications in linear, quadratic, and integer programming 5) Contains many examples, illustrations, and exercises with complete solutions (about 200 pages) posted on the internet.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What are the dimensions of this book? A: The book measures six point twenty-six inches in length, one point five inches in width, and nine point twenty-five inches in height.
- Q: How many pages does this book have? A: This book contains five hundred sixty pages, providing a comprehensive exploration of convex analysis and optimization.
- Q: What type of binding does this book have? A: This book is bound in hardcover, ensuring durability and a professional appearance.
- Q: Who is the author of this book? A: The author of this book is Dimitri Bertsekas, a renowned figure in the field of optimization.
- Q: What is the main subject of this book? A: The main subject of this book is convex analysis and optimization, focusing on both theoretical and practical aspects.
- Q: How can I apply the concepts in this book? A: You can apply the concepts through problem-solving exercises and computational methods discussed in the text.
- Q: Is this book suitable for beginners? A: Yes, this book is designed to be pedagogical and accessible, making it suitable for both beginners and advanced readers.
- Q: What special features does this book offer? A: This book offers comprehensive theories, geometric treatments, and insightful presentations of minimax theory and duality.
- Q: Are there exercises included in this book? A: Yes, the book includes many examples, illustrations, and exercises with complete solutions available online.
- Q: How should I care for this book? A: To keep this book in good condition, store it upright in a dry place and avoid exposure to direct sunlight.
- Q: Is there any specific way to handle this book? A: Handle the book carefully to avoid damaging the spine and pages, especially when turning them.
- Q: Can this book be used for self-study? A: Yes, this book is ideal for self-study due to its clear explanations and availability of solutions online.
- Q: What if I receive a damaged copy of the book? A: If you receive a damaged copy, you should contact the seller to arrange for a return or replacement.
- Q: Is there a warranty for this book? A: Typically, there is no warranty for books; however, return policies may vary by retailer.
- Q: What if I have questions while reading this book? A: You can seek clarification through online forums or discussion groups focused on optimization topics.
- Q: Is this book useful for advanced studies? A: Yes, this book is also useful for advanced studies, offering deep insights into complex optimization problems.