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Numerical Algorithms : Methods for Computer Vision, Machine Learning, and Graphics (Hardcover) (Justin

Numerical Algorithms : Methods for Computer Vision, Machine Learning, and Graphics (Hardcover) (Justin - image 1 of 1

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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.

Most existing textbooks on this subject were written either for mathematics or engineering students and do not address the unique situation of computer science students, who have some background in discrete mathematics but less familiarity with continuous methods of proof and algorithms. This book is written specifically for those students, filled throughout with practical examples using the algorithms being taught. The book also teaches theory in the context of application in parallel by delving into real-world problems in computer graphics and computer vision.

Number of Pages: 379
Genre: Computers + Internet, Mathematics, Technology
Sub-Genre: Robotics, Number Systems, Computer Graphics / General
Format: Hardcover
Publisher: Taylor & Francis
Author: Justin Solomon
Language: English
Street Date: July 13, 2015
TCIN: 16961486
UPC: 9781482251883
Item Number (DPCI): 247-43-4338
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