Numerical Algorithms: Methods For Computer Vision, Machine Learning,
And Graphics

Product Description

Numerical Algorithms Methods for Computer Vision Machine Learning & Graphics presents a new approach to numerical analysis for modern computer scientists Using examples from a broad base of computational tasks including data processing computational photography & animation the textbook introduces numerical modeling & algorithmic design from a practical standpoint & provides insight into the theoretical tools needed to support these skills The book covers a wide range of topics-from numerical linear algebra to optimization & differential equations-focusing on real-world motivation & unifying themes It incorporates cases from computer science research & practice accompanied by highlights from in-depth literature on each subtopic Comprehensive end-of-chapter exercises encourage critical thinking & build students' intuition while introducing extensions of the basic material The text is designed for advanced undergraduate & beginning graduate students in computer science & related fields with experience in calculus & linear algebra For students with a background in discrete mathematics the book

Includes:: some reminders of relevant continuous mathematical background