Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
by Justin Solomon
Publisher: CRC Press 2015
ISBN/ASIN: 1482251884
Number of pages: 397
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.
Download or read it online for free here:
Download link
(17MB, PDF)
Similar books
Algorithmic Algebraby Bhubaneswar Mishra - Courant Institute of Mathematical Sciences
The main purpose of the book is to acquaint advanced undergraduate and graduate students in computer science, engineering and mathematics with the algorithmic ideas in computer algebra so that they could do research in computational algebra.
(25182 views)
Fractals- Wikibooks
The aim of this text is to develop an informal, light introduction to the world of fractal geometry and to inspire further research into the subject, whether your interest is of a pure, applied or even recreational nature.
(12036 views)
Curves and Surfaces in Geometric Modeling: Theory and Algorithmsby Jean Gallier - Morgan Kaufmann
This book offers both a theoretically unifying understanding of polynomial curves and surfaces and an effective approach to implementation that you can bring to bear on your own work -- whether you are a graduate student, scientist, or practitioner.
(10028 views)
Probabilistic Programming and Bayesian Methods for Hackersby Cameron Davidson-Pilon - GitHub, Inc.
This book is designed as an introduction to Bayesian inference from a computational understanding-first, and mathematics-second, point of view. The book assumes no prior knowledge of Bayesian inference nor probabilistic programming.
(25674 views)