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 topicsafrom numerical linear algebra to optimization and differential equationsafocusing 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 studentsa 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.You can access the ebook online or offline onyour smartphone, tabletor PC/Mac and your notes and highlights will automatically stay in sync no ... or Kindle Fire, and login to your Bookshelf accountto access yourebook: On your PC/Mac Go to anbsp;...
|Publisher||:||CRC Press - 2015-06-24|