Emphasizing practical understanding over the technicalities of specific algorithms this elegant textbook is an accessible introduction to the field of optimization focusing on powerful & reliable convex optimization techniques Students & practitioners will learn how to recognize simplify model & solve optimization problems
- & apply these principles to their own projects A clear & self-contained introduction to linear algebra demonstrates core mathematical concepts in a way that is easy to follow & helps students to understand their practical relevance Requiring only a basic understanding of geometry calculus probability & statistics & striking a careful balance between accessibility & 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 & relevant examples from diverse fields including engineering data science economics finance & management this is the perfect introduction to optimization for undergraduate & graduate students