Convex Optimization,New

Convex Optimization,New

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Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. The focus is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. The text contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance, and economics.

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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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Warranty

We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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Frequently Asked Questions

  • Q: What is the main focus of the book 'Convex Optimization'? A: The book focuses on recognizing convex optimization problems and finding the most appropriate techniques for solving them efficiently.
  • Q: Who is the author of 'Convex Optimization'? A: The author of 'Convex Optimization' is Stephen Boyd.
  • Q: What are the key subjects covered in this book? A: The book covers topics relevant to engineering, computer science, mathematics, statistics, finance, and economics, making it suitable for a wide audience.
  • Q: How many pages does 'Convex Optimization' have? A: The book contains 727 pages.
  • Q: What type of binding does this book have? A: 'Convex Optimization' is available in hardcover binding.
  • Q: When was 'Convex Optimization' published? A: 'Convex Optimization' was published on March 8, 2004.
  • Q: Is 'Convex Optimization' suitable for beginners? A: Yes, the book includes many worked examples and homework exercises, making it accessible for students and beginners.
  • Q: What edition of 'Convex Optimization' is available? A: The book is available in its first edition.
  • Q: What condition is the book in? A: 'Convex Optimization' is available in new condition.
  • Q: Can this book be used as a textbook for courses? A: Yes, due to its comprehensive introduction and numerous exercises, it is suitable for use as a textbook in related courses.