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A collection of problems with detailed solutions in introductory and advanced matrix calculus, this self-contained book is suitable for both graduate and undergraduate mathematics students. It covers systems of linear equations, linear differential equations, functions of matrices and the Kronecker product.
Our self-contained volume provides an accessible introduction to linear and multilinear algebra as well as tensor calculus. Besides the standard techniques for linear algebra, multilinear algebra and tensor calculus, many advanced topics are included where emphasis is placed on the Kronecker product and tensor product. The Kronecker product has widespread applications in signal processing, discrete wavelets, statistical physics, Hopf algebra, Yang-Baxter relations, computer graphics, fractals, quantum mechanics, quantum computing, entanglement, teleportation and partial trace. All these fields are covered comprehensively.The volume contains many detailed worked-out examples. Each chapter includes useful exercises and supplementary problems. In the last chapter, software implementations are provided for different concepts. The volume is well suited for pure and applied mathematicians as well as theoretical physicists and engineers.New topics added to the third edition are: mutually unbiased bases, Cayley transform, spectral theorem, nonnormal matrices, Gâteaux derivatives and matrices, trace and partial trace, spin coherent states, Clebsch-Gordan series, entanglement, hyperdeterminant, tensor eigenvalue problem, Carleman matrix and Bell matrix, tensor fields and Ricci tensors, and software implementations.
Solving problems in quantum mechanics is an essential skill and research activity for physicists, mathematicians, engineers and others. This book collects some of the standard and advanced methods in quantum mechanics and implements them using Symbolic C++ and Maxima, two popular computer algebra packages.
Offers an introduction to computer algebra. This book provides coverage of the mathematics of computer algebra as well as guidance to implement a computer algebra system in the object-oriented language C++. It also introduces the used tools from C++.
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