Numerical Algorithms

Name: Numerical Algorithms
Brand: Unknown
SKU: 9781482251883
Price: 196.0 NZD
Availability: InStock

Methods for Computer Vision, Machine Learning, and Graphics

By Justin Solomon

Summary

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics offers a modern approach to numerical analysis tailored for computer scientists. It explores numerical modelling and algorithmic design through practical examples from areas such as data processing, computational photography, and animation. The book spans topics including numerical linear algebra, optimisation, and differential equations, emphasising real-world applications and core unifying concepts. Detailed exercises at the end of each chapter develop intuition and extend foundational knowledge.
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Format: Hardback

$196⁰⁰

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Numerical Algorithms

$196⁰⁰

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Ideal for advanced undergraduates and beginning graduate students in computer science and related fields, especially those with experience in calculus and linear algebra. The book also supports readers with discrete mathematics backgrounds by providing relevant continuous mathematics reminders.

Description

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and 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, and animation, the textbook introduces numerical modeling and algorithmic design from a practical standpoint and 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 and differential equations—focusing on real-world motivation and unifying themes. It incorporates cases from computer science research and practice, accompanied by highlights from in-depth literature on each subtopic. Comprehensive end-of-chapter exercises encourage critical thinking and build students’ intuition while introducing extensions of the basic material.

The text is designed for advanced undergraduate and beginning graduate students in computer science and related fields with experience in calculus and linear algebra. For students with a background in discrete mathematics, the book includes some reminders of relevant continuous mathematical background.

Book Details

INFORMATION

ISBN: 9781482251883

Publisher: Apple Academic Press Inc.

Format: Hardback

Date Published: 13 July 2015

Country: Canada

Imprint: Apple Academic Press Inc.

Illustration: 14 Tables, black and white; 132 Illustrations, black and white

Audience: General / adult, Tertiary education

DIMENSIONS

Width: 178.0mm

Height: 254.0mm

Weight: 880g

Pages: 400

Collections

Computing & Technology Education & Reference Engineering, Technology & Agriculture Justin Solomon Non-Fiction

About the Author

Justin Solomon is an assistant professor in the Department of Electrical Engineering and Computer Science at MIT, where he studies problems in shape analysis, machine learning, and graphics from a geometric perspective. He received a PhD in computer science from Stanford University, where he was also a lecturer for courses in graphics, differential geometry, and numerical methods. Subsequently he served as an NSF Mathematical Sciences Postdoctoral Fellow at Princeton’s Program in Applied and Computational Mathematics. Before his graduate studies, he was a member of Pixar’s Tools Research group.