Convex Optimization by

Convex Optimization is a rigorous and accessible introduction to the field, offering a blend of theoretical foundations and practical techniques. It covers a wide range of topics, including linear and quadratic programming, convex analysis, and optimization algorithms, making it an essential resource for students and professionals alike. The book is renowned for its clear explanations and numerous examples, providing readers with the tools they need to tackle real-world optimization challenges. /n/n This book is not just a theoretical treatise but also a practical guide, featuring exercises and case studies that illustrate the application of convex optimization in various fields such as engineering, economics, and machine learning. Whether you are a beginner or an advanced practitioner, this book offers valuable insights and methodologies to enhance your problem-solving skills.

Reviews

Reddit · Various · 2025-10-18

good 4.30

The book is enjoyed for its example-based approach and the inclusion of code, making it practical and engaging. It is particularly noted for its usefulness in approximating non-convex problems.

Many readers on Reddit express their enjoyment of this book, particularly highlighting its example-based approach and the inclusion of code. This practical element makes the book engaging and useful for those looking to apply the concepts in their work. The technique of approximating non-convex problems is also noted as a valuable aspect of the book. Overall, it is seen as a highly practical and informative resource.

Quick quotes

I really enjoyed this book. It's example-based and has lots of code with it.

Also seeing this technique where they approximate a non-convex problem is very useful.

A gem! A proper teaching book on convexity theory.

Amazon · Various · 2025-10-18

great 4.60

The book is described as a very good monograph on convex optimization, recommended for those who want a single comprehensive resource on the topic. It balances theory with practical applications.

This book is frequently recommended as a must-read for anyone interested in convex optimization. It strikes a good balance between theoretical foundations and practical applications, making it suitable for a wide range of readers. The inclusion of code and examples is particularly appreciated, as it helps to illustrate the concepts in a tangible way. Many users find it to be a reliable and informative guide that covers the subject thoroughly.

Quick quotes

This book is a very good monograph on convex optimization, which I would recommend to anyone who only wants to read one book on the topic.

Contains theory and some practical examples that make the subject more accessible.

A proper teaching book on convexity theory.

Goodreads · Various · 2025-10-18

excellent 4.50

The book is praised for its comprehensive introduction to convex optimization and its practical approach to solving problems numerically. It is highly recommended for its clarity and usefulness.

This book is often highlighted for its thorough coverage of convex optimization. Readers appreciate the detailed explanations and the numerous examples provided, which make complex concepts more accessible. Many find it to be an invaluable resource for both students and professionals in the field. The practical approach to solving problems numerically is particularly noted, making it a go-to reference for those looking to apply these principles in real-world scenarios.

Quick quotes

A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency.

It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, and operations research.

This is a well-written book that provides a solid foundation in convex optimization.

Appears in Lists

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