Convex Optimization by Stephen Boyd (ISBN 9780521833783) - Hardcover

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  • Condition: Brand New.
  • Author: Stephen Boyd, Lieven Vandenberghe
  • ISBN13: 9780521833783
  • ISBN10: 0521833787
  • Type: Hardcover Book.

By: Stephen Boyd, Lieven Vandenberghe Availability: In Stock Condition: Brand New.

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Convex Optimization (ISBN 9780521833783)

Convex Optimization by Stephen Boyd and Lieven Vandenberghe is the definitive textbook on convex analysis and optimization methods. This highly regarded work introduces the fundamental principles of convex sets, convex functions, and optimization problems, and explains how these mathematical tools are applied in engineering, computer science, operations research, economics, and machine learning. Known for its clarity and breadth, this book is widely adopted in graduate programs and professional practice worldwide.

Product Details

  • Title: Convex Optimization
  • Authors: Stephen Boyd and Lieven Vandenberghe
  • Publisher: Cambridge University Press
  • ISBN-13: 9780521833783
  • Format: Hardcover
  • Pages: 700+
  • Dimensions: 7 x 10 inches
  • Price: $59.99
  • Availability: In Stock | Free shipping on all orders

At BooksGoat, we provide the official Convex Optimization textbook at the best value. Plus, complete our optimization quiz: score 75% or higher and unlock an extra 5% discount.

Key Features of This Textbook

  • Comprehensive Foundations: Detailed coverage of convex sets, convex functions, duality theory, and optimality conditions.
  • Practical Applications: Shows how convex optimization is applied in engineering design, signal processing, control systems, finance, and data analysis.
  • Machine Learning Relevance: Provides the mathematical backbone for algorithms in ML and AI, including regression, classification, and deep learning.
  • Exercises and Examples: Hundreds of worked problems and exercises for practice and application.
  • Authoritative Resource: Written by two of the most respected experts in optimization theory.

Table of Contents Highlights

  1. Introduction to Convex Sets
  2. Convex Functions and Properties
  3. Optimization Problems and Duality
  4. Unconstrained and Constrained Optimization
  5. Interior-Point Methods
  6. Applications in Engineering and Computer Science
  7. Machine Learning and Data Analysis Applications
  8. Case Studies and Problem-Solving Strategies

Who Should Buy This Book?

  • Graduate students in mathematics, computer science, engineering, and economics.
  • Researchers applying optimization techniques in ML, AI, and data science.
  • Professionals in operations research, engineering, and finance seeking practical optimization methods.
  • Libraries supporting advanced mathematics, engineering, and computational sciences.

Why Choose BooksGoat?

  • Best Price: $59.99 vs higher prices elsewhere
  • Free Shipping: On all orders
  • Exclusive Quiz Discount: Score 75%+ and save 5%
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FAQs

Is this book suitable for beginners?
It is written for graduate-level study but is accessible to readers with a strong math background in linear algebra and calculus.
Does it include real-world applications?
Yes, it provides numerous examples from engineering, economics, and computer science.
Who are the authors?
Stephen Boyd (Stanford University) and Lieven Vandenberghe (UCLA), leading experts in optimization.
Is it relevant for machine learning?
Yes, convex optimization is a key foundation for ML algorithms and AI models.

Final Call – Buy Now

Convex Optimization is the authoritative resource for mastering convex analysis and its applications across science and engineering. Order today from BooksGoat for just $59.99. Free shipping and quiz discount available.