This book provides the mathematical fundamentals of Linear Algebra to practicers in Computer vision, Machine learning, robotics, applied mathematics, and electrical engineering.
At all times, pertinent real-world ap.
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 theorem.
This book provides the mathematical fundamentals of Linear Algebra to practicers in Computer vision, Machine learning, robotics, applied mathematics, and electrical engineering