2
Your Cart
2
Your Cart
This book provides an extensive collection of problems with detailed solutions in introductory and advanced matrix calculus. Supplementary problems in each chapter will challenge and excite the reader, ideal for both graduate and undergraduate mathematics and theoretical physics students. The coverage includes systems of linear equations, linear differential equations, integration and matrices, Kronecker product and vec-operation as well as functions of matrices. Furthermore, specialized topics such as spectral theorem, nonnormal matrices and mutually unbiased bases are included. Many of the problems are related to applications for group theory, Lie algebra theory, wavelets, graph theory and matrix-valued differential forms, benefitting physics and engineering students and researchers alike. It also branches out to problems with tensors and the hyperdeterminant. Computer algebra programs in Maxima and SymbolicC++ have also been provided.

New item(s) have been added to your cart.

Quantity: 1
Total: $19.99

Frequently bought with Linear Algebra and Optimization for Machine Learning

Foundations of Deep Reinforcement Learning: Theory and Practice in Python Original price was: $49.99.Current price is: $19.99.
View more
View more
Learning Python: Powerful Object-Oriented Programming Original price was: $79.99.Current price is: $19.99.
View more
Grokking Machine Learning Original price was: $49.99.Current price is: $14.99.
View more
Machine Learning: An Applied Mathematics Introduction Original price was: $29.99.Current price is: $19.99.
View more
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) Original price was: $59.99.Current price is: $19.99.
View more
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD Original price was: $79.99.Current price is: $19.99.
View more
Programming and Problem Solving with C++: Comprehensive: Comprehensive Original price was: $79.99.Current price is: $19.99.
View more