Justin Solomon

Numerical Algorithms

Methods for Computer Vision, Machine Learning, and Graphics

Ebook (PDF Format)

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 desig

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Produktdetails

ISBN: 978-1-4822-5189-0
EAN: 9781482251890
Produktnummer: 30233226
Verlag: Taylor & Francis Ltd.
Sprache: Englisch
Erscheinungsjahr: 2015
Seitenangabe: 400 S.
Plattform: PDF
Masse: 9'755 KB

Über den Autor

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.