Justin Solomon

eBook, PDF

Numerical Algorithms (eBook, PDF)

Methods for Computer Vision, Machine Learning, and Graphics

Beschreibung

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

Technische Details

• Geräte: PC
• mit Kopierschutz
• Größe: 9.53MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Kurze Alternativtexte für nicht-textuelle Inhalte vorhanden
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien

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.

Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 400
• Erscheinungstermin: 24. Juni 2015
• Englisch
• ISBN-13: 9781482251890
• Artikelnr.: 55340383

Rezensionen

"This book covers an impressive array of topics, many of which are paired with a real-world application. Its conversational style and relatively few theorem-proofs make it well suited for computer science students as well as professionals looking for a refresher."
-Dianne Hansford, FarinHansford.com