Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
Top Free Computer Networking Books 🌠 - 100% Free or Open Source!
  • Title Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
  • Author(s) Justin Solomon
  • Publisher: A K Peters/CRC Press; Har/Psc edition (July 13, 2015)
  • Hardcover/Paperback 400 pages
  • eBook PDF
  • Language: English
  • ISBN-10: 1482251884
  • ISBN-13: 978-1482251883
  • Share This:  

Book Description

This book 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.

About the Authors
  • Justin Solomon is an NSF Mathematical Sciences Postdoctoral Fellow at Princeton's Program in Applied and Computational Mathematics
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Computer Vision: Algorithms and Applications, Second Edition

    This book explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications as well as for fun, consumer-level tasks.

  • Computer Vision Metrics: Survey, Taxonomy, and Analysis

    This book provides an extensive survey and analysis of over 100 current and historical feature description and machine vision methods, with a detailed taxonomy for local, regional and global features.

  • Developing Graphics Frameworks with Python and OpenGL

    It shows you how to create software for rendering complete three-dimensional scenes, explains the foundational theoretical concepts as well as the practical programming techniques that will enable you to create your own animated and interactive worlds.

  • Computer Vision: Models, Learning, and Inference (Simon Prince)

    The book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems. The detailed methodological presentation is useful for practitioners of computer vision.

  • Programming Computer Vision with Python: Tools and Algorithms

    This book is a hands-on introduction to computer vision using Python. It gives an easily accessible entry point to hands-on computer vision with enough understanding of the underlying theory and algorithms to be a foundation for students, researchers.

  • Computer Vision: Algorithms and Applications (Richard Szeliski)

    This book explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications such as medical imaging and fun consumer-level tasks such as image editing and stitching, etc.

  • Architecture of Advanced Numerical Analysis Systems

    This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. It's based on Owl, an OCaml-based numerical computing library.

  • Tea Time Numerical Analysis: Experiences in Mathematics

    This textbook was born of a desire to contribute a viable, free, introductory Numerical Analysis textbook. The ultimate goal of this book is to be a complete, one-semester, single-pdf, downloadable textbook designed for mathematics classes.

  • Algorithm Design (Jon Kleinberg, et al)

    This book introduces algorithms by looking at the real-world problems that motivate them. The book teaches a range of design and analysis techniques for problems that arise in computing applications.

  • Problems on Algorithms, 2nd Edition (Ian Parberry)

    This book provides an extensive and varied collection of useful, practical problems on the design, analysis, and verification of algorithms. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them.

  • Algorithms for Sparse Linear Systems (Jennifer Scott, et al.)

    Large sparse linear systems of equations are ubiquitous in science, engineering and beyond. This open access monograph focuses on factorization algorithms for solving such systems.

Book Categories
:
Other Categories
Resources and Links