By Justin Solomon
Numerical Algorithms: tools for machine imaginative and prescient, computing device studying, and Graphics offers a brand new method of numerical research for contemporary computing device scientists. utilizing examples from a wide base of computational projects, together with information processing, computational images, and animation, the textbook introduces numerical modeling and algorithmic layout from a pragmatic perspective and gives perception into the theoretical instruments had to help those skills.
The booklet covers a variety of topics—from numerical linear algebra to optimization and differential equations—focusing on real-world motivation and unifying subject matters. It contains instances from computing device technology learn and perform, followed by means of highlights from in-depth literature on each one subtopic. finished end-of-chapter routines inspire severe considering and construct scholars’ instinct whereas introducing extensions of the elemental material.
The textual content is designed for complex undergraduate and starting graduate scholars in computing device technology and comparable fields with adventure in calculus and linear algebra. for college students with a historical past in discrete arithmetic, the booklet contains a few reminders of suitable non-stop mathematical background.
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Extra resources for Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics by Justin Solomon