Linear Algebra and Optimization with Applications to Machine Learning - Volume I: Linear Algebra for Computer Vision, Robotics, and Machine Learning

by Jean H. Gallier and Jocelyn Quaintance

This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, robotics, applied mathematics, and electrical engineering. By only assuming a knowledge of calculus, the authors develop, in a rigorous yet down to earth manner, the mathematical theory behind concepts such as: vectors spaces, bases, linear maps, duality, Hermitian spaces, the spectral theorems, SVD, and the primary decomposition...

• Format: Paperback
• Language: English
• ISBN: 9811207712
• ISBN13: 9789811207716
• Release Date: February 2020
• Publisher: World Scientific Publishing Company
• Length: 824 Pages
• Weight: 2.38 lbs.
• Dimensions: 1.6" x 6.0" x 9.0"