Cambridge University Press eBooks· 2018· Book chapter
Introduction to algorithms
- 818citations
- 2018year
Short summary
This textbook offers an accessible introduction to convex optimization, emphasizing practical understanding and real-world application over complex mathematical details.
AI-generated from the title and abstract; the full text is not read.
Key points
- Focuses on practical understanding of convex optimization techniques.
- Requires only basic knowledge of geometry, calculus, probability, and statistics.
- Includes end-of-chapter problems and examples from diverse fields.
- Provides a self-contained introduction to linear algebra.
AI-generated from the title and abstract; the full text is not read.
Abstract
Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook is an accessible introduction to the field of optimization, focusing on powerful and reliable convex optimization techniques. Students and practitioners will learn how to recognize, simplify, model and solve optimization problems - and apply these principles to their own projects. A clear and self-contained introduction to linear algebra demonstrates core mathematical concepts in a way that is easy to follow, and helps students to understand their practical relevance. Requiring only a basic understanding of geometry, calculus, probability and statistics, and striking a careful balance between accessibility and rigor, it enables students to quickly understand the material, without being overwhelmed by complex mathematics. Accompanied by numerous end-of-chapter problems, an online solutions manual for instructors, and relevant examples from diverse fields including engineering, data science, economics, finance, and management, this is the perfect introduction to optimization for undergraduate and graduate students.
The authors' abstract, as published at the source. Cambridge University Press eBooks, 2018 · DOI ↗
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Field: Numerical Analysis
Numerical AnalysisMathematics