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      Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics

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      SKU 9780367575632 Categories ,
      This text 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 book introduces numerical modeling and algorithmic design from a practical standpo...

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      Description

      Product ID:9780367575632
      Product Form:Paperback / softback
      Country of Manufacture:GB
      Title:Numerical Algorithms
      Subtitle:Methods for Computer Vision, Machine Learning, and Graphics
      Authors:Author: Justin Solomon
      Page Count:400
      Subjects:Robotics, Robotics, Information technology: general topics, Artificial intelligence, Information technology: general issues, Artificial intelligence
      Description:This text 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 book introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into the theoretical t

      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.


      Imprint Name:CRC Press
      Publisher Name:Taylor & Francis Ltd
      Country of Publication:GB
      Publishing Date:2020-06-30

      Additional information

      Weight758 g
      Dimensions179 × 255 × 37 mm